@article {70226, title = {Octopamine instructs head direction plasticity}, journal = {bioRxiv}, year = {2025}, month = {2025 Dec 15}, abstract = {

Many plasticity rules rely on adjusting the strength of synapses between pairs of cells based on their coincident activity. We uncovered a new mechanism for coincidence detection in the Drosophila head direction network. To maintain an accurate sense of direction, head direction neurons that signal orientation during navigation must learn to anchor to relevant external sensory cues in novel environments. Yet the synaptic mechanism for this form of unsupervised learning is unknown in any organism. In Drosophila, GABAergic visual inputs converge onto head direction neurons, and these inhibitory synapses change strength with experience to learn the relationship between visual landmarks and head direction. However, how coincident pre- and postsynaptic activity is detected across this inhibitory synapse is not understood. We discovered that neurons which release the monoamine octopamine close a feedback loop that conveys postsynaptic head direction activity onto presynaptic terminals of visual inputs. This octopamine pathway is required for anchoring the head direction network to visual cues. Furthermore, pairing structured activation of octopamine neurons with a visual cue is sufficient to drive rapid plasticity, even without postsynaptic head direction cell activity. Previous work has extensively characterized coincidence detection mechanisms at excitatory synapses; our work defines a novel mechanism for coincidence detection at an inhibitory synapse, in which postsynaptic activity is relayed via a neuromodulatory neuron onto presynaptic terminals

}, doi = {10.64898/2025.12.11.693783}, url = {https://www.biorxiv.org/content/early/2025/12/15/2025.12.11.693783}, author = {Plitt, Mark H. and Turner-Evans, Daniel B. and Co, Jessica C. and Layden, Aryanna and Eddison, Mark and Ray, Robert P. and Jayaraman, Vivek and Fisher, Yvette E.} } @article {69993, title = {RubyACRs enable red-shifted optogenetic inhibition in freely behaving Drosophila}, journal = {eLife}, year = {2025}, month = {2025 Sep 05}, abstract = {

Optogenetic activators with red-shifted excitation spectra, such as Chrimson, have significantly advanced Drosophila neuroscience. However, until recently, available optogenetic inhibitors required shorter activation wavelengths, which don{\textquoteright}t penetrate tissue as effectively and are stronger visual stimuli to the animal, potentially confounding behavioral results. Here, we assess the efficacy of two newly identified anion-conducting channelrhodopsins with spectral sensitivities similar to Chrimson: A1ACR and HfACR (RubyACRs). Electrophysiology and functional imaging confirmed that RubyACRs effectively hyperpolarize neurons, with stronger and faster effects than the widely used inhibitor GtACR1. Activation of RubyACRs led to circuit-specific behavioral changes in three different neuronal groups. In glutamatergic motor neurons, activating RubyACRs suppressed adult locomotor activity. In PPL1-γ1pedc dopaminergic neurons, pairing odors with RubyACR activation during learning produced odor responses consistent with synaptic silencing. Finally, activation of RubyACRs in the pIP10 neuron suppressed pulse song during courtship. Together, these results demonstrate that RubyACRs are effective and reliable tools for neuronal inhibition in Drosophila, expanding the optogenetic toolkit for circuit dissection in freely behaving animals.

Preprint: https://www.biorxiv.org/content/early/2025/06/15/2025.06.13.659144

}, doi = {10.7554/eLife.108210.1}, url = {https://doi.org/10.7554/eLife.108210.1}, author = {Bushey, Daniel and Shiozaki, Hiroshi and Shuai, Yichun and Zheng, Jihong and Jayaraman, Vivek and Hasseman, Jeremy P. and Kolb, Ilya and GENIE Project Team and Turner, Glenn C.} } @article {70155, title = {Sexual dimorphism in the complete connectome of the Drosophila male central nervous system}, journal = {bioRxiv}, year = {2025}, month = {2025 Oct 09}, abstract = {

Sex differences in behaviour exist across the animal kingdom, typically under strong genetic regulation. In Drosophila, previous work has shown that fruitless and doublesex transcription factors identify neurons driving sexually dimorphic behaviour. However, the organisation of dimorphic neurons into functional circuits remains unclear.We now present the connectome of the entire Drosophila male central nervous system. This contains 166,691 neurons spanning the brain and ventral nerve cord, fully proofread and comprehensively annotated including fruitless and doublesex expression and 11,691 cell types. By comparison with a previous female brain connectome, we provide the first comprehensive description of the differences between male and female brains to synaptic resolution. Of 7,319 cross-matched cell types in the central brain, 114 are dimorphic with an additional 262 male- and 69 female-specific (totalling 4.8\% of neurons in males and 2.4\% in females).This resource enables analysis of full sensory-to-motor circuits underlying complex behaviours as well as the impact of dimorphic elements. Sex-specific and dimorphic neurons are concentrated in higher brain centres while the sensory and motor periphery are largely isomorphic. Within higher centres, male-specific connections are organised into hotspots defined by male-specific neurons or the presence of male-specific arbours on neurons that are otherwise similar between sexes. Numerous circuit switches reroute sensory information to form conserved, antagonistic circuits controlling opposing behaviours.

}, doi = {10.1101/2025.10.09.680999}, url = {https://www.biorxiv.org/content/early/2025/10/09/2025.10.09.680999}, author = {Berg, Stuart and Beckett, Isabella R and Costa, Marta and Schlegel, Philipp and Januszewski, Micha{\l} and Marin, Elizabeth C and Nern, Aljoscha and Preibisch, Stephan and Qiu, Wei and Takemura, Shin-ya and Fragniere, Alexandra MC and Champion, Andrew S and Adjavon, Diane-Yayra and Cook, Michael and Gkantia, Marina and Hayworth, Kenneth J and Huang, Gary B and Katz, William T and K{\"a}mpf, Florian and Lu, Zhiyuan and Ordish, Christopher and Paterson, Tyler and St{\"u}rner, Tomke and Trautman, Eric T and Whittle, Catherine R and Burnett, Laura E and Hoeller, Judith and Li, Feng and Loesche, Frank and Morris, Billy J and Pietzsch, Tobias and Pleijzier, Markus W and Silva, Valeria and Yin, Yijie and Ali, Iris and Badalamente, Griffin and Bates, Alexander Shakeel and Bogovic, John and Brooks, Paul and Cachero, Sebastian and Canino, Brandon S and Chaisrisawatsuk, Bhumpanya and Clements, Jody and Crowe, Arthur and de Haan Vicente, In{\^e}s and Dempsey, Georgia and Don{\`a}, Erika and dos Santos, M{\'a}rcia and Dreher, Marisa and Dunne, Christopher R and Eichler, Katharina and Finley-May, Samantha and Flynn, Miriam A and Hameed, Imran and Hopkins, Gary Patrick and Hubbard, Philip M and Kiassat, Ladann and Kovalyak, Julie and Lauchie, Shirley A and Leonard, Meghan and Lohff, Alanna and Longden, Kit D and Maldonado, Charli A and Mitletton, Myrto and Moitra, Ilina and Moon, Sung Soo and Mooney, Caroline and Munnelly, Eva J and Okeoma, Nneoma and Olbris, Donald J and Pai, Anika and Patel, Birava and Phillips, Emily M and Plaza, Stephen M and Richards, Alana and Rivas Salinas, Jennifer and Roberts, Ruair{\'\i} Jv and Rogers, Edward M and Scott, Ashley L and Scuderi, Louis A and Seenivasan, Pavithraa and Serratosa Capdevila, Laia and Smith, Claire and Svirskas, Rob and Takemura, Satoko and Tastekin, Ibrahim and Thomson, Alexander and Umayam, Lowell and Walsh, John J and Whittome, Holly and Xu, C Shan and Yakal, Emily A and Yang, Tansy and Zhao, Arthur and George, Reed and Jain, Viren and Jayaraman, Vivek and Korff, Wyatt and Meissner, Geoffrey W and Romani, Sandro and Funke, Jan and Knecht, Christopher and Saalfeld, Stephan and Scheffer, Louis K and Waddell, Scott and Card, Gwyneth M and Ribeiro, Carlos and Reiser, Michael B and Hess, Harald F and Rubin, Gerald M and Jefferis, Gregory Sxe} } @article {69515, title = {Exploration and exploitation are flexibly balanced during local search in flies}, journal = {bioRxiv}, year = {2024}, month = {2024 Jun 28}, abstract = {

After finding food, a foraging animal must decide whether to continue feeding, or to explore the environment for potentially better options. One strategy to negotiate this tradeoff is to perform local searches around the food but repeatedly return to feed. We studied this behavior in flies and used genetic tools to uncover the underlying mechanisms. Over time, flies gradually expand their search, shifting from primarily exploiting food sources to exploring the environment, a change that is likely driven by increases in satiety. We found that flies{\textquoteright} search patterns preserve these dynamics even as the overall scale of the search is modulated by starvation-induced changes in metabolic state. In contrast, search induced by optogenetic activation of sugar sensing neurons does not show these dynamics. We asked what navigational strategies underlie local search. Using a generative model, we found that a change in locomotor pattern after food consumption could account for repeated returns to the food, but failed to capture relatively direct, long return trajectories. Alternative strategies, such as path integration or sensory taxis could allow flies to return from larger distances. We tested this by individually silencing the fly{\textquoteright}s head direction system, olfaction and hygrosensation, and found that the only substantial effect was from perturbing hygrosensation, which reduced the number of long exploratory trips. Our study illustrates that local search is composed of multiple behavioral features that evolve over time based on both internal and external factors, providing a path towards uncovering the underlying neural mechanisms.

}, doi = {10.1101/2024.06.26.600764}, url = {https://www.biorxiv.org/content/early/2024/06/28/2024.06.26.600764}, author = {Goldschmidt, Dennis and Guo, Yipei and Chitnis, Shivam S and Christoforou, Christina and Turner-Evans, Dan and Ribeiro, Carlos and Hermundstad, Ann M and Jayaraman, Vivek and Haberkern, Hannah} } @article {69632, title = {Maintaining and updating accurate internal representations of continuous variables with a handful of neurons.}, journal = {Nat Neurosci}, year = {2024}, month = {2024 Oct 03}, abstract = {

Many animals rely on persistent internal representations of continuous variables for working memory, navigation, and motor control. Existing theories typically assume that large networks of neurons are required to maintain such representations accurately; networks with few neurons are thought to generate discrete representations. However, analysis of two-photon calcium imaging data from tethered flies walking in darkness suggests that their small head-direction system can maintain a surprisingly continuous and accurate representation. We thus ask whether it is possible for a small network to generate a continuous, rather than discrete, representation of such a variable. We show analytically that even very small networks can be tuned to maintain continuous internal representations, but this comes at the cost of sensitivity to noise and variations in tuning. This work expands the computational repertoire of small networks, and raises the possibility that larger networks could represent more and higher-dimensional variables than previously thought.

}, issn = {1546-1726}, doi = {10.1038/s41593-024-01766-5}, url = {https://10.1038/s41593-024-01766-5}, author = {Noorman, Marcella and Hulse, Brad K and Jayaraman, Vivek and Romani, Sandro and Hermundstad, Ann M} } @article {67771, title = {A connectome of the central complex reveals network motifs suitable for flexible navigation and context-dependent action selection.}, journal = {eLife}, volume = {10}, year = {2021}, month = {2021 Oct 26}, abstract = {

Flexible behaviors over long timescales are thought to engage recurrent neural networks in deep brain regions, which are experimentally challenging to study. In insects, recurrent circuit dynamics in a brain region called the central complex (CX) enable directed locomotion, sleep, and context- and experience-dependent spatial navigation. We describe the first complete electron-microscopy-based connectome of the CX, including all its neurons and circuits at synaptic resolution. We identified new CX neuron types, novel sensory and motor pathways, and network motifs that likely enable the CX to extract the fly{\textquoteright}s head-direction, maintain it with attractor dynamics, and combine it with other sensorimotor information to perform vector-based navigational computations. We also identified numerous pathways that may facilitate the selection of CX-driven behavioral patterns by context and internal state. The CX connectome provides a comprehensive blueprint necessary for a detailed understanding of network dynamics underlying sleep, flexible navigation, and state-dependent action selection.

}, issn = {2050-084X}, doi = {10.7554/eLife.66039}, author = {Hulse, Brad K and Haberkern, Hannah and Franconville, Romain and Turner-Evans, Daniel B and Takemura, Shin-ya and Wolff, Tanya and Noorman, Marcella and Dreher, Marisa and Dan, Chuntao and Parekh, Ruchi and Hermundstad, Ann M and Rubin, Gerald M and Jayaraman, Vivek} } @article {68507, title = {A connectome and analysis of the adult Drosophila central brain.}, journal = {Elife}, volume = {9}, year = {2020}, month = {2020 Sep 07}, abstract = {

The neural circuits responsible for animal behavior remain largely unknown. We summarize new methods and present the circuitry of a large fraction of the brain of the fruit fly . Improved methods include new procedures to prepare, image, align, segment, find synapses in, and proofread such large data sets. We define cell types, refine computational compartments, and provide an exhaustive atlas of cell examples and types, many of them novel. We provide detailed circuits consisting of neurons and their chemical synapses for most of the central brain. We make the data public and simplify access, reducing the effort needed to answer circuit questions, and provide procedures linking the neurons defined by our analysis with genetic reagents. Biologically, we examine distributions of connection strengths, neural motifs on different scales, electrical consequences of compartmentalization, and evidence that maximizing packing density is an important criterion in the evolution of the fly{\textquoteright}s brain.

}, keywords = {Animals, Brain, Connectome, Drosophila melanogaster, Female, Male, Neurons, Synapses}, issn = {2050-084X}, doi = {10.7554/eLife.57443}, author = {Scheffer, Louis K and Xu, C Shan and Januszewski, Michal and Lu, Zhiyuan and Takemura, Shin-ya and Hayworth, Kenneth J and Huang, Gary B and Shinomiya, Kazunori and Maitlin-Shepard, Jeremy and Berg, Stuart and Clements, Jody and Hubbard, Philip M and Katz, William T and Umayam, Lowell and Zhao, Ting and Ackerman, David and Blakely, Tim and Bogovic, John and Dolafi, Tom and Kainmueller, Dagmar and Kawase, Takashi and Khairy, Khaled A and Leavitt, Laramie and Li, Peter H and Lindsey, Larry and Neubarth, Nicole and Olbris, Donald J and Otsuna, Hideo and Trautman, Eric T and Ito, Masayoshi and Bates, Alexander S and Goldammer, Jens and Wolff, Tanya and Svirskas, Robert and Schlegel, Philipp and Neace, Erika and Knecht, Christopher J and Alvarado, Chelsea X and Bailey, Dennis A and Ballinger, Samantha and Borycz, Jolanta A and Canino, Brandon S and Cheatham, Natasha and Cook, Michael and Dreher, Marisa and Duclos, Octave and Eubanks, Bryon and Fairbanks, Kelli and Finley, Samantha and Forknall, Nora and Francis, Audrey and Hopkins, Gary Patrick and Joyce, Emily M and Kim, SungJin and Kirk, Nicole A and Kovalyak, Julie and Lauchie, Shirley A and Lohff, Alanna and Maldonado, Charli and Manley, Emily A and McLin, Sari and Mooney, Caroline and Ndama, Miatta and Ogundeyi, Omotara and Okeoma, Nneoma and Ordish, Christopher and Padilla, Nicholas and Patrick, Christopher M and Paterson, Tyler and Phillips, Elliott E and Phillips, Emily M and Rampally, Neha and Ribeiro, Caitlin and Robertson, Madelaine K and Rymer, Jon Thomson and Ryan, Sean M and Sammons, Megan and Scott, Anne K and Scott, Ashley L and Shinomiya, Aya and Smith, Claire and Smith, Kelsey and Smith, Natalie L and Sobeski, Margaret A and Suleiman, Alia and Swift, Jackie and Takemura, Satoko and Talebi, Iris and Tarnogorska, Dorota and Tenshaw, Emily and Tokhi, Temour and Walsh, John J and Yang, Tansy and Horne, Jane Anne and Li, Feng and Parekh, Ruchi and Rivlin, Patricia K and Jayaraman, Vivek and Costa, Marta and Jefferis, Gregory Sxe and Ito, Kei and Saalfeld, Stephan and George, Reed and Meinertzhagen, Ian A and Rubin, Gerald M and Hess, Harald F and Jain, Viren and Plaza, Stephen M} } @article {65300, title = {A fast genetically encoded fluorescent sensor for faithful in vivo acetylcholine detection in mice, fish, worms and flies.}, journal = {bioRxiv}, year = {2020}, month = {2020 Feb 8}, abstract = {

Here we design and optimize a genetically encoded fluorescent indicator, iAChSnFR, for the ubiquitous neurotransmitter acetylcholine, based on a bacterial periplasmic binding protein. iAChSnFR shows large fluorescence changes, rapid rise and decay kinetics, and insensitivity to most cholinergic drugs. iAChSnFR revealed large transients in a variety of slice and\ in vivo\ preparations in mouse, fish, fly and worm. iAChSnFR will be useful for the study of acetylcholine in all animals.

}, doi = {https://doi.org/10.1101/2020.02.07.939504}, author = {Borden, Philip and Zhang, Peng and Shivange, Amol V and Marvin, Jonathan S and Cichon, Joseph and Dan, Chuntao and Podgorski, Kaspar and Figueiredo, Antonio and Novak, Ondrej and Tanimoto, Masashi and Shigetomi, Eiji and Lobas, Mark A and Kim, Hyuntae and Zhu, Paula and Zhang, Yajun and Zheng, W. Sharon and Fan, ChengCheng and Wang, Guangfu and Xiang, Bowen and Gan, Li and Zhang, Guang-Xian and Guo, Kaiming and Lin, Li and Cai, Yuan and Yee, Andrew G. and Aggarwal, Aman and Ford, Christopher P. and Rees, Douglas C. and Dietrich, Dirk and Khakh, Baljit S. and Dittman, Jeremy S. and Gan, Wen-Biao and Koyama, Minoru and Jayaraman, Vivek and Cheer, Joseph F. and Lester, Henry A. and Zhu, J. Julius and Looger, Loren L.} } @article {65722, title = {The neuroanatomical ultrastructure and function of a biological ring attractor.}, journal = {Neuron}, volume = {108}, year = {2020}, month = {2020 Oct 14}, pages = {145-63}, abstract = {

Neural representations of head direction (HD) have been discovered in many species. Theoretical work has proposed that the dynamics associated with these representations are generated, maintained, and updated by recurrent network structures called ring attractors. We evaluated this theorized structure-function relationship by performing electron-microscopy-based circuit reconstruction and RNA profiling of identified cell types in the HD system of Drosophila melanogaster. We identified motifs that have been hypothesized to maintain the HD representation in darkness, update it when the animal turns, and tether it to visual cues. Functional studies provided support for the proposed roles of individual excitatory or inhibitory circuit elements in shaping activity. We also discovered recurrent connections between neuronal arbors with mixed pre- and postsynaptic specializations. Our results confirm that the Drosophila HD network contains the core components of a ring attractor while also revealing unpredicted structural features that might enhance the network{\textquoteright}s computational power.

}, issn = {1097-4199}, doi = {10.1016/j.neuron.2020.08.006}, author = {Turner-Evans, Daniel B and Jensen, Kristopher T and Ali, Saba and Paterson, Tyler and Sheridan, Arlo and Ray, Robert P and Wolff, Tanya and Lauritzen, J Scott and Rubin, Gerald M and Bock, Davi D and Jayaraman, Vivek} } @article {64937, title = {Busted! A dope ring with activity clocked at dawn and dusk.}, journal = {Neuron}, volume = {102}, year = {2019}, month = {2019 May 22}, pages = {713-5}, abstract = {Clock neurons generate circadian rhythms in behavioral activity, but the relevant pathways remain poorly understood. In this issue of Neuron, Liang et al. (2019) show that distinct clock neurons independently drive movement-promoting {\textquotedblleft}ring neurons{\textquotedblright} in Drosophila through dopaminergic relays to support morning and evening locomotor activity.}, doi = {10.1016/j.neuron.2019.05.004}, author = {Hulse, Brad and Jayaraman, Vivek} } @article {65234, title = {Generation of stable heading representations in diverse visual scenes.}, journal = {Nature}, volume = {576}, year = {2019}, month = {2019 Nov 20}, pages = {126-31}, abstract = {

Many animals rely on an internal heading representation when navigating in varied environments. How this representation is linked to the sensory cues that define different surroundings is unclear. In the fly brain, heading is represented by {\textquoteright}compass{\textquoteright} neurons that innervate a ring-shaped structure known as the ellipsoid body. Each compass neuron receives inputs from {\textquoteright}ring{\textquoteright} neurons that are selective for particular visual features; this combination provides an ideal substrate for the extraction of directional information from a visual scene. Here we combine two-photon calcium imaging and optogenetics in tethered flying flies with circuit modelling, and show how the correlated activity of compass and visual neurons drives plasticity, which flexibly transforms two-dimensional visual cues into a stable heading representation. We also describe how this plasticity enables the fly to convert a partial heading representation, established from orienting within part of a novel setting, into a complete heading representation. Our results provide mechanistic insight into the memory-related computations that are essential for flexible navigation in varied surroundings.

}, issn = {1476-4687}, doi = {10.1038/s41586-019-1767-1}, author = {Kim, Sung Soo and Hermundstad, Ann M and Romani, Sandro and Abbott, L F and Jayaraman, Vivek} } @article {64986, title = {High-performance calcium sensors for imaging activity in neuronal populations and microcompartments.}, journal = {Nature Methods}, volume = {16}, year = {2019}, month = {2019 Jun 17}, pages = {649-57}, abstract = {

Calcium imaging with genetically encoded calcium indicators (GECIs) is routinely used to measure neural activity in intact nervous systems. GECIs are frequently used in one of two different modes: to track activity in large populations of neuronal cell bodies, or to follow dynamics in subcellular compartments such as axons, dendrites and individual synaptic compartments. Despite major advances, calcium imaging is still limited by the biophysical properties of existing GECIs, including affinity, signal-to-noise ratio, rise and decay kinetics and dynamic range. Using structure-guided mutagenesis and neuron-based screening, we optimized the green fluorescent protein-based GECI GCaMP6 for different modes of in vivo imaging. The resulting jGCaMP7 sensors provide improved detection of individual spikes (jGCaMP7s,f), imaging in neurites and neuropil (jGCaMP7b), and may allow tracking larger populations of neurons using two-photon (jGCaMP7s,f) or wide-field (jGCaMP7c) imaging.

}, issn = {1548-7105}, doi = {10.1038/s41592-019-0435-6}, author = {Dana, Hod and Sun, Yi and Mohar, Boaz and Hulse, Brad K and Kerlin, Aaron M and Hasseman, Jeremy P and Tsegaye, Getahun and Tsang, Arthur and Wong, Allan and Patel, Ronak and Macklin, John J and Chen, Yang and Konnerth, Arthur and Jayaraman, Vivek and Looger, Loren L and Schreiter, Eric R and Svoboda, Karel and Kim, Douglas S} } @article {65255, title = {Mechanisms underlying the neural computation of head direction.}, journal = {Annual Review of Neuroscience}, volume = {43}, year = {2019}, month = {2020 Jul 8}, pages = {31-54}, abstract = {

Many animals use an internal sense of direction to guide their movements through the world. Neurons selective to head direction are thought to support this directional sense and have been found in a diverse range of species, from insects to primates, highlighting their evolutionary importance. Across species, most head-direction networks share four key properties: a unique representation of direction at all times, persistent activity in the absence of movement, integration of angular velocity to update the representation, and the use of directional cues to correct drift. The dynamics of theorized network structures called ring attractors elegantly account for these properties, but their relationship to brain circuits is unclear. Here, we review experiments in rodents and flies that offer insights into potential neural implementations of ring attractor networks. We suggest that a theory-guided search across model systems for biological mechanisms that enable such dynamics would uncover general principles underlying head-direction circuit function. Expected final online publication date for the , Volume 43 is July 8, 2020. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

}, issn = {1545-4126}, doi = {10.1146/annurev-neuro-072116-031516}, author = {Hulse, Brad K and Jayaraman, Vivek} } @article {64905, title = {Visually guided behavior and optogenetically induced learning in head-fixed flies exploring a virtual landscape.}, journal = {Current Biology : CB}, year = {2019}, month = {2019 Apr 29}, abstract = {

Studying the intertwined roles of sensation, experience, and directed action in navigation has been facilitated by the development of virtual reality (VR) environments for head-fixed animals, allowing for quantitative measurements of behavior in well-controlled conditions. VR has long featured in studies of Drosophila melanogaster, but these experiments have typically allowed the fly to change only its heading in a visual scene and not its position. Here we explore how flies move in two dimensions (2D) using a visual VR environment that more closely captures an animal{\textquoteright}s experience during free behavior. We show that flies{\textquoteright} 2D interaction with landmarks cannot be automatically derived from their orienting behavior under simpler one-dimensional (1D) conditions. Using novel paradigms, we then demonstrate that flies in 2D VR adapt their behavior in response to optogenetically delivered appetitive and aversive stimuli. Much like free-walking flies after encounters with food, head-fixed flies exploring a 2D VR respond to optogenetic activation of sugar-sensing neurons by initiating a local search, which appears not to rely on visual landmarks. Visual landmarks can, however, help flies to avoid areas in VR where they experience an aversive, optogenetically generated heat stimulus. By coupling aversive virtual heat to the flies{\textquoteright} presence near visual landmarks of specific shapes, we elicit selective learned avoidance of those landmarks. Thus, we demonstrate that head-fixed flies adaptively navigate in 2D virtual environments, but their reliance on visual landmarks is context dependent. These behavioral paradigms set the stage for interrogation of the fly brain circuitry underlying flexible navigation in complex multisensory environments.

}, issn = {1879-0445}, doi = {10.1016/j.cub.2019.04.033}, author = {Haberkern, Hannah and Basnak, Melanie A and Ahanonu, Biafra and Schauder, David and Cohen, Jeremy D and Bolstad, Mark and Bruns, Christopher and Jayaraman, Vivek} } @article {49368, title = {Building a functional connectome of the central complex.}, journal = {eLife}, volume = {7}, year = {2018}, month = {2018 Aug 20}, abstract = {

The central complex is a highly conserved insect brain region composed of morphologically stereotyped neurons that arborize in distinctively shaped substructures. The region is implicated in a wide range of behaviors and several modeling studies have explored its circuit computations. Most studies have relied on assumptions about connectivity between neurons based on their overlap in light microscopy images. Here, we present an extensive functional connectome of Drosophila melanogaster{\textquoteright}s central complex at cell-type resolution. Using simultaneous optogenetic stimulation, calcium imaging and pharmacology, we tested the connectivity between 70 presynaptic-to-postsynaptic cell-type pairs. We identi1ed numerous inputs to the central complex, but only a small number of output channels. Additionally, the connectivity of this highly recurrent circuit appears to be sparser than anticipated from light microscopy images. Finally, the connectivity matrix highlights the potentially critical role of a class of bottleneck interneurons. All data is provided for interactive exploration on a website.

}, issn = {2050-084X}, doi = {10.7554/eLife.37017}, author = {Franconville, Romain and Beron, Celia and Jayaraman, Vivek} } @article {49813, title = {High-performance GFP-based calcium indicators for imaging activity in neuronal populations and microcompartments.}, journal = {bioRxiv}, year = {2018}, month = {2018 Oct 3}, abstract = {

Calcium imaging with genetically encoded calcium indicators (GECIs) is routinely used to measure neural activity in intact nervous systems. GECIs are frequently used in one of two different modes: to track activity in large populations of neuronal cell bodies, or to follow dynamics in subcellular compartments such as axons, dendrites and individual synaptic compartments. Despite major advances, calcium imaging is still limited by the biophysical properties of existing GECIs, including affinity, signal-to-noise ratio, rise and decay kinetics, and dynamic range. Using structure-guided mutagenesis and neuron-based screening, we optimized the green fluorescent protein-based GECI GCaMP6 for different modes of in vivo imaging. The jGCaMP7 sensors provide improved detection of individual spikes (jGCaMP7s,f), imaging in neurites and neuropil (jGCaMP7b), and tracking large populations of neurons using 2-photon (jGCaMP7s,f) or wide-field (jGCaMP7c) imaging.

}, doi = {10.1101/434589}, author = {Dana, Hod and Sun, Yi and Mohar, Boaz and Hulse, Brad and Hasseman, Jeremy P and Tsegaye, Getahun and Tsang, Arthur and Wong, Allan and Patel, Ronak and Macklin, John J and Chen, Yang and Konnerth, Arthur and Jayaraman, Vivek and Looger, Loren L and Schreiter, Eric R and Svoboda, Karel and Kim, Douglas S} } @article {48507, title = {Angular velocity integration in a fly heading circuit.}, journal = {eLife}, volume = {6}, year = {2017}, month = {2017 May 22}, abstract = {

Many animals maintain an internal representation of their heading as they move through their surroundings. Such a compass representation was recently discovered in a neural population in the Drosophila melanogaster central complex, a brain region implicated in spatial navigation. Here, we use two-photon calcium imaging and electrophysiology in head-fixed walking flies to identify a different neural population that conjunctively encodes heading and angular velocity, and is excited selectively by turns in either the clockwise or counterclockwise direction. We show how these mirror-symmetric turn responses combine with the neurons{\textquoteright} connectivity to the compass neurons to create an elegant mechanism for updating the fly{\textquoteright}s heading representation when the animal turns in darkness. This mechanism, which employs recurrent loops with an angular shift, bears a resemblance to those proposed in theoretical models for rodent head direction cells. Our results provide a striking example of structure matching function for a broadly relevant computation.

}, issn = {2050-084X}, doi = {10.7554/eLife.23496}, author = {Turner-Evans, Daniel and Wegener, Stephanie and Rouault, Herv{\'e} and Franconville, Romain and Wolff, Tanya and Seelig, Johannes D and Druckmann, Shaul and Jayaraman, Vivek} } @article {48549, title = {Neural signatures of dynamic stimulus selection in Drosophila.}, journal = {Nature Neuroscience}, volume = {20}, year = {2017}, month = {2017 Jun 12}, pages = {1104-13}, abstract = {

Many animals orient using visual cues, but how a single cue is selected from among many is poorly understood. Here we show that Drosophila ring neurons{\textemdash}central brain neurons implicated in navigation{\textemdash}display visual stimulus selection. Using\ in vivo\ two-color two-photon imaging with genetically encoded calcium indicators, we demonstrate that individual ring neurons inherit simple-cell-like receptive fields from their upstream partners. Stimuli in the contralateral visual field suppressed responses to ipsilateral stimuli in both populations. Suppression strength depended on when and where the contralateral stimulus was presented, an effect stronger in ring neurons than in their upstream inputs. This history-dependent effect on the temporal structure of visual responses, which was well modeled by a simple biphasic filter, may determine how visual references are selected for the fly{\textquoteright}s internal compass. Our approach highlights how two-color calcium imaging can help identify and localize the origins of sensory transformations across synaptically connected neural populations.

}, doi = {10.1038/nn.4581}, author = {Sun, Yi and Nern, Aljoscha and Franconville, Romain and Dana, Hod and Schreiter, Eric R and Looger, Loren L and Svoboda, Karel and Kim, Douglas S and Hermundstad, Ann M and Jayaraman, Vivek} } @article {48462, title = {Ring attractor dynamics in the Drosophila central brain.}, journal = {Science (New York, N.Y.)}, volume = {356}, year = {2017}, month = {2017 May 04}, pages = {849-53}, abstract = {

Ring attractors are a class of recurrent networks hypothesized to underlie the representation of heading direction. Such network structures, schematized as a ring of neurons whose connectivity depends on their heading preferences, can sustain a bump-like activity pattern whose location can be updated by continuous shifts along either turn direction. We recently reported that a population of fly neurons represents the animal{\textquoteright}s heading via bump-like activity dynamics. We combined two-photon calcium imaging in head-fixed flying flies with optogenetics to overwrite the existing population representation with an artificial one, which was then maintained by the circuit with naturalistic dynamics. A network with local excitation and global inhibition enforces this unique and persistent heading representation. Ring attractor networks have long been invoked in theoretical work; our study provides physiological evidence of their existence and functional architecture.

}, issn = {1095-9203}, doi = {10.1126/science.aal4835}, author = {Kim, Sung S and Rouault, Herv{\'e} and Druckmann, Shaul and Jayaraman, Vivek} } @article {48990, title = {The insect central complex.}, journal = {Current Biology : CB}, volume = {26}, year = {2016}, month = {2016 Jun 06}, pages = {R453-7}, abstract = {

Hordes of tourists flock to Washington, D.C. every spring to see the cherry trees blossom. Once in the city, they must find their way to the Tidal Basin where the Japanese trees grow. Fortunately, a number of visual landmarks can help them to navigate. In 1910, the United States Congress passed The Height of Buildings Act, limiting the elevation of commercial and residential structures in D.C. to 130 feet. Thus, the 555-foot-tall Washington Monument often looms large against the horizon, serving as an anchor point to help set the tourists{\textquoteright} sense of direction. Once their heading is set, they can lose sight of the monument behind buildings or groups of tall Scandinavian visitors and still use their internal compass to navigate to the Basin. This compass keeps track of their paces and turns and updates their sense of where they are and where they need to go. Yet while their heading informs their actions, it does not dictate them. Tourists who have been to D.C. in the past can, for example, use remembered views to alter their routes to avoid crowds. On an even finer scale, their leg movements also depend on their current state - they might increase the frequency and length of their strides if hunger pangs compete with their desire to see cherry blossoms, for example. The way in which these disparate cues and motivations influence exploration is a neuroscience mystery across creatures large and small.

}, keywords = {Animals, Brain, Cues, Insecta, Spatial Navigation, Vision, Ocular}, issn = {1879-0445}, doi = {10.1016/j.cub.2016.04.006}, author = {Turner-Evans, Daniel B and Jayaraman, Vivek} } @article {47396, title = {Sensitive red protein calcium indicators for imaging neural activity.}, journal = {eLife}, volume = {5}, year = {2016}, month = {2016 Mar 24}, abstract = {

Genetically encoded calcium indicators (GECIs) allow measurement of activity in large populations of neurons and in small neuronal compartments, over times of milliseconds to months. Although GFP-based GECIs are widely used for in vivo neurophysiology, GECIs with red-shifted excitation and emission spectra have advantages for in vivo imaging because of reduced scattering and absorption in tissue, and a consequent reduction in phototoxicity. However, current red GECIs are inferior to the state-of-the-art GFP-based GCaMP6 indicators for detecting and quantifying neural activity. Here we present improved red GECIs based on mRuby (jRCaMP1a, b) and mApple (jRGECO1a), with sensitivity comparable to GCaMP6. We characterized the performance of the new red GECIs in cultured neurons and in mouse, Drosophila, zebrafish and C. elegans in vivo. Red GECIs facilitate deep-tissue imaging, dual-color imaging together with GFP-based reporters, and the use of optogenetics in combination with calcium imaging.

}, issn = {2050-084X}, doi = {10.7554/eLife.12727}, author = {Dana, Hod and Mohar, Boaz and Sun, Yi and Narayan, Sujatha and Gordus, Andrew and Hasseman, Jeremy P and Tsegaye, Getahun and Holt, Graham T and Hu, Amy and Walpita, Deepika and Patel, Ronak and Macklin, John J and Bargmann, Cornelia I and Ahrens, Misha B and Schreiter, Eric R and Jayaraman, Vivek and Looger, Loren L and Svoboda, Karel and Kim, Douglas S} } @article {47292, title = {Studying small brains to understand the building blocks of cognition.}, journal = {Current Opinion in Neurobiology}, volume = {37}, year = {2016}, month = {2016 Jan 28}, pages = {59-65}, abstract = {

Cognition encompasses a range of higher-order mental processes, such as attention, working memory, and model-based decision-making. These processes are thought to involve the dynamic interaction of multiple central brain regions. A mechanistic understanding of such computations requires not only monitoring and manipulating specific neural populations during behavior, but also knowing the connectivity of the underlying circuitry. These goals are experimentally challenging in mammals, but are feasible in numerically simpler insect brains. In Drosophila melanogaster in particular, genetic tools enable precisely targeted physiology and optogenetics in actively behaving animals. In this article we discuss how these advantages are increasingly being leveraged to study abstract neural representations and sensorimotor computations that may be relevant for cognition in both insects and mammals.

}, issn = {1873-6882}, doi = {10.1016/j.conb.2016.01.007}, author = {Haberkern, Hannah and Jayaraman, Vivek} } @article {47092, title = {Central neural circuitry mediating courtship song perception in male Drosophila.}, journal = {eLife}, volume = {4}, year = {2015}, month = {2015 Sep 21}, abstract = {

Animals use acoustic signals across a variety of social behaviors, particularly courtship. In Drosophila, song is detected by antennal mechanosensory neurons and further processed by second-order aPN1/aLN(al) neurons. However, little is known about the central pathways mediating courtship hearing. In this study, we identified a male-specific pathway for courtship hearing via third-order ventrolateral protocerebrum Projection Neuron 1 (vPN1) neurons and fourth-order pC1 neurons. Genetic inactivation of vPN1 or pC1 disrupts song-induced male-chaining behavior. Calcium imaging reveals that vPN1 responds preferentially to pulse song with long inter-pulse intervals (IPIs), while pC1 responses to pulse song closely match the behavioral chaining responses at different IPIs. Moreover, genetic activation of either vPN1 or pC1 induced courtship chaining, mimicking the behavioral response to song. These results outline the aPN1-vPN1-pC1 pathway as a labeled line for the processing and transformation of courtship song in males.

}, issn = {2050-084X}, doi = {10.7554/eLife.08477}, author = {Zhou, Chuan and Franconville, Romain and Vaughan, Alexander G and Robinett, Carmen C and Jayaraman, Vivek and Baker, Bruce S} } @article {46835, title = {Dynamical feature extraction at the sensory periphery guides chemotaxis.}, journal = {eLife}, volume = {4}, year = {2015}, month = {2015 Jun 16}, abstract = {

Behavioral strategies employed for chemotaxis have been described across phyla, but the sensorimotor basis of this phenomenon has seldom been studied in naturalistic contexts. Here, we examine how signals experienced during free olfactory behaviors are processed by first-order olfactory sensory neurons (OSNs) of the Drosophila larva. We find that OSNs can act as differentiators that transiently normalize stimulus intensity-a property potentially derived from a combination of integral feedback and feed-forward regulation of olfactory transduction. In olfactory virtual reality experiments, we report that high activity levels of the OSN suppress turning, whereas low activity levels facilitate turning. Using a generalized linear model, we explain how peripheral encoding of olfactory stimuli modulates the probability of switching from a run to a turn. Our work clarifies the link between computations carried out at the sensory periphery and action selection underlying navigation in odor gradients.

}, issn = {2050-084X}, doi = {10.7554/eLife.06694}, author = {Schulze, Aljoscha and Gomez-Marin, Alex and Rajendran, Vani G and Lott, Gus and Musy, Marco and Ahammad, Parvez and Deogade, Ajinkya and Sharpe, James and Riedl, Julia and Jarriault, David and Trautman, Eric T and Werner, Christopher and Venkadesan, Madhusudhan and Druckmann, Shaul and Jayaraman, Vivek and Louis, Matthieu} } @article {46368, title = {Labeling of active neural circuits in vivo with designed calcium integrators.}, journal = {Science}, volume = {347}, year = {2015}, month = {2015 Feb 13}, pages = {755-60}, abstract = {

The identification of active neurons and circuits in vivo is a fundamental challenge in understanding the neural basis of behavior. Genetically encoded calcium (Ca(2+)) indicators (GECIs) enable quantitative monitoring of cellular-resolution activity during behavior. However, such indicators require online monitoring within a limited field of view. Alternatively, post hoc staining of immediate early genes (IEGs) indicates highly active cells within the entire brain, albeit with poor temporal resolution. We designed a fluorescent sensor, CaMPARI, that combines the genetic targetability and quantitative link to neural activity of GECIs with the permanent, large-scale labeling of IEGs, allowing a temporally precise "activity snapshot" of a large tissue volume. CaMPARI undergoes efficient and irreversible green-to-red conversion only when elevated intracellular Ca(2+) and experimenter-controlled illumination coincide. We demonstrate the utility of CaMPARI in freely moving larvae of zebrafish and flies, and in head-fixed mice and adult flies.

}, issn = {1095-9203}, doi = {10.1126/science.1260922}, author = {Fosque, Benjamin F and Sun, Yi and Dana, Hod and Yang, Chao-Tsung and Ohyama, Tomoko and Tadross, Michael R and Patel, Ronak and Zlatic, Marta and Kim, Douglas S and Ahrens, Misha B and Jayaraman, Vivek and Looger, Loren L and Schreiter, Eric R} } @article {46694, title = {Neural dynamics for landmark orientation and angular path integration.}, journal = {Nature}, volume = {521}, year = {2015}, month = {2015 May 14}, pages = {186-191}, abstract = {

Many animals navigate using a combination of visual landmarks and path integration. In mammalian brains, head direction cells integrate these two streams of information by representing an animal{\textquoteright}s heading relative to landmarks, yet maintaining their directional tuning in darkness based on self-motion cues. Here we use two-photon calcium imaging in head-fixed Drosophila melanogaster walking on a ball in a virtual reality arena to demonstrate that landmark-based orientation and angular path integration are combined in the population responses of neurons whose dendrites tile the ellipsoid body, a toroidal structure in the centre of the fly brain. The neural population encodes the fly{\textquoteright}s azimuth relative to its environment, tracking visual landmarks when available and relying on self-motion cues in darkness. When both visual and self-motion cues are absent, a representation of the animal{\textquoteright}s orientation is maintained in this network through persistent activity, a potential substrate for short-term memory. Several features of the population dynamics of these neurons and their circular anatomical arrangement are suggestive of ring attractors, network structures that have been proposed to support the function of navigational brain circuits.

}, doi = {10.1038/nature14446}, author = {Seelig, Johannes D and Jayaraman, Vivek} } @article {6719, title = {Independent optical excitation of distinct neural populations.}, journal = {Nature Methods}, volume = {11}, year = {2014}, month = {2014 Feb 9}, pages = {338-46}, abstract = {

Optogenetic tools enable examination of how specific cell types contribute to brain circuit functions. A long-standing question is whether it is possible to independently activate two distinct neural populations in mammalian brain tissue. Such a capability would enable the study of how different synapses or pathways interact to encode information in the brain. Here we describe two channelrhodopsins, Chronos and Chrimson, discovered through sequencing and physiological characterization of opsins from over 100 species of alga. Chrimson{\textquoteright}s excitation spectrum is red shifted by 45 nm relative to previous channelrhodopsins and can enable experiments in which red light is preferred. We show minimal visual system-mediated behavioral interference when using Chrimson in neurobehavioral studies in Drosophila melanogaster. Chronos has faster kinetics than previous channelrhodopsins yet is effectively more light sensitive. Together these two reagents enable two-color activation of neural spiking and downstream synaptic transmission in independent neural populations without detectable cross-talk in mouse brain slice.

}, issn = {1548-7105}, doi = {10.1038/nmeth.2836}, author = {Klapoetke, Nathan C and Murata, Yasunobu and Kim, Sung Soo and Pulver, Stefan R and Birdsey-Benson, Amanda and Cho, Yong Ku and Morimoto, Tania K and Chuong, Amy S and Carpenter, Eric J and Tian, Zhijian and Wang, Jun and Xie, Yinlong and Yan, Zhixiang and Zhang, Yong and Chow, Brian Y and Surek, Barbara and Melkonian, Michael and Jayaraman, Vivek and Constantine-Paton, Martha and Wong, Gane Ka-Shu and Boyden, Edward S} } @article {6481, title = {Feature detection and orientation tuning in the Drosophila central complex.}, journal = {Nature}, volume = {503}, year = {2013}, month = {2013 Oct 9}, pages = {262-66}, abstract = {

Many animals, including insects, are known to use visual landmarks to orient in their environment. In Drosophila melanogaster, behavioural genetics studies have identified a higher brain structure called the central complex as being required for the fly{\textquoteright}s innate responses to vertical visual features and its short- and long-term memory for visual patterns. But whether and how neurons of the fly central complex represent visual features are unknown. Here we use two-photon calcium imaging in head-fixed walking and flying flies to probe visuomotor responses of ring neurons{\textemdash}a class of central complex neurons that have been implicated in landmark-driven spatial memory in walking flies and memory for visual patterns in tethered flying flies. We show that dendrites of ring neurons are visually responsive and arranged retinotopically. Ring neuron receptive fields comprise both excitatory and inhibitory subfields, resembling those of simple cells in the mammalian primary visual cortex. Ring neurons show strong and, in some cases, direction-selective orientation tuning, with a notable preference for vertically oriented features similar to those that evoke innate responses in flies. Visual responses were diminished during flight, but, in contrast with the hypothesized role of the central complex in the control of locomotion, not modulated during walking. Taken together, these results indicate that ring neurons represent behaviourally relevant visual features in the fly{\textquoteright}s environment, enabling downstream central complex circuits to produce appropriate motor commands. More broadly, this study opens the door to mechanistic investigations of circuit computations underlying visually guided action selection in the Drosophila central complex.

}, issn = {1476-4687}, doi = {10.1038/nature12601}, author = {Seelig, Johannes D and Jayaraman, Vivek} } @article {6579, title = {A neuron-based screening platform for optimizing genetically-encoded calcium indicators.}, journal = {PLoS One}, volume = {8}, year = {2013}, month = {2013}, pages = {e77728}, abstract = {

Fluorescent protein-based sensors for detecting neuronal activity have been developed largely based on non-neuronal screening systems. However, the dynamics of neuronal state variables (e.g., voltage, calcium, etc.) are typically very rapid compared to those of non-excitable cells. We developed an electrical stimulation and fluorescence imaging platform based on dissociated rat primary neuronal cultures. We describe its use in testing genetically-encoded calcium indicators (GECIs). Efficient neuronal GECI expression was achieved using lentiviruses containing a neuronal-selective gene promoter. Action potentials (APs) and thus neuronal calcium levels were quantitatively controlled by electrical field stimulation, and fluorescence images were recorded. Images were segmented to extract fluorescence signals corresponding to individual GECI-expressing neurons, which improved sensitivity over full-field measurements. We demonstrate the superiority of screening GECIs in neurons compared with solution measurements. Neuronal screening was useful for efficient identification of variants with both improved response kinetics and high signal amplitudes. This platform can be used to screen many types of sensors with cellular resolution under realistic conditions where neuronal state variables are in relevant ranges with respect to timing and amplitude.

}, issn = {1932-6203}, doi = {10.1371/journal.pone.0077728}, author = {Wardill, Trevor J. and Chen, Tsai-Wen and Schreiter, Eric R and Hasseman, Jeremy P and Tsegaye, Getahun and Fosque, Benjamin F and Behnam, Reza and Shields, Brenda C and Ramirez, Melissa and Kimmel, Bruce E and Kerr, Rex A and Jayaraman, Vivek and Looger, Loren L and Svoboda, Karel and Kim, Douglas S.} } @article {6124, title = {Ultrasensitive fluorescent proteins for imaging neuronal activity.}, journal = {Nature}, volume = {499}, year = {2013}, month = {2013 Jul 18}, pages = {295-300}, abstract = {

Fluorescent calcium sensors are widely used to image neural activity. Using structure-based mutagenesis and neuron-based screening, we developed a family of ultrasensitive protein calcium sensors (GCaMP6) that outperformed other sensors in cultured neurons and in zebrafish, flies and mice in vivo. In layer 2/3 pyramidal neurons of the mouse visual cortex, GCaMP6 reliably detected single action potentials in neuronal somata and orientation-tuned synaptic calcium transients in individual dendritic spines. The orientation tuning of structurally persistent spines was largely stable over timescales of weeks. Orientation tuning averaged across spine populations predicted the tuning of their parent cell. Although the somata of GABAergic neurons showed little orientation tuning, their dendrites included highly tuned dendritic segments (5{\textendash}40-{\textmu}m long). GCaMP6 sensors thus provide new windows into the organization and dynamics of neural circuits over multiple spatial and temporal scales.

}, doi = {10.1038/nature12354}, author = {Chen, Tsai-Wen and Wardill, Trevor J. and Sun, Yi and Pulvar, Stefan R. and Renninger, Sabine L. and Baohan, Amy and Schreiter, Eric R and Kerr, Rex A and Orger, Michael B. and Jayaraman, Vivek and Looger, Loren L and Svoboda, Karel and Kim, Douglas S.} } @article {5164, title = {Optimization of a GCaMP calcium indicator for neural activity imaging.}, journal = {The Journal of Neuroscience}, volume = {32}, year = {2012}, month = {2012 Oct 3}, pages = {13819-40}, chapter = {13819}, abstract = {

Genetically encoded calcium indicators (GECIs) are powerful tools for systems neuroscience. Recent efforts in protein engineering have significantly increased the performance of GECIs. The state-of-the art single-wavelength GECI, GCaMP3, has been deployed in a number of model organisms and can reliably detect three or more action potentials in short bursts in several systems in vivo . Through protein structure determination, targeted mutagenesis, high-throughput screening, and a battery of in vitro assays, we have increased the dynamic range of GCaMP3 by severalfold, creating a family of {\textquotedblleft}GCaMP5{\textquotedblright} sensors. We tested GCaMP5s in several systems: cultured neurons and astrocytes, mouse retina, and in vivo in Caenorhabditis chemosensory neurons, Drosophila larval neuromuscular junction and adult antennal lobe, zebrafish retina and tectum, and mouse visual cortex. Signal-to-noise ratio was improved by at least 2- to 3-fold. In the visual cortex, two GCaMP5 variants detected twice as many visual stimulus-responsive cells as GCaMP3. By combining in vivo imaging with electrophysiology we show that GCaMP5 fluorescence provides a more reliable measure of neuronal activity than its predecessor GCaMP3.GCaMP5allows more sensitive detection of neural activity in vivo andmayfind widespread applications for cellular imaging in general.

}, doi = {10.1523/​JNEUROSCI.2601-12.2012}, author = {Akerboom, Jasper and Chen, Tsai-Wen and Wardill, Trevor J. and Marvin, Jonathan S and Mutlu, Sevinc and Carreras Caldero, Nicole and Esposti, Federico and Borghuis, Bart G and Sun, Xiaonan Richard and Gordus, Andrew and Orger, Michael B. and Portugues, Ruben and Engert, Florian and Macklin, John J and Filosa, Alessandro and Aggarwal, Aman and Kerr, Rex and Takagi, Ryousuke and Kracun, Sebastian and Shigetomi, Eiji and Khakh, Baljit S. and Baier, Herwig and Lagnado, Leon and Wang, Samuel S-H and Bargmann, Cornelia and Kimmel, Bruce and Jayaraman, Vivek and Svoboda, Karel and Kim, Douglas S. and Schreiter, Eric R and Looger, Loren L} } @article {5831, title = {Visual neuroscience: a moving story of neuromodulation.}, journal = {Current Biology}, volume = {22}, year = {2012}, month = {2012 Dec 18}, pages = {R1057-9}, abstract = {

The visual neurons of many animals process sensory input differently depending on the animal{\textquoteright}s state of locomotion. Now, new work in Drosophila melanogaster shows that neuromodulatory neurons active during flight boost responses of neurons in the visual system.

}, issn = {1879-0445}, doi = {10.1016/j.cub.2012.11.041}, author = {Jayaraman, Vivek} } @article {3328, title = {Studying sensorimotor integration in insects.}, journal = {Current Opinion in Neurobiology}, volume = {21}, year = {2011}, month = {2011 Jun 24}, pages = {527-34}, abstract = {

Sensorimotor integration is a field rich in theory backed by a large body of psychophysical evidence. Relating the underlying neural circuitry to these theories has, however, been more challenging. With a wide array of complex behaviors coordinated by their small brains, insects provide powerful model systems to study key features of sensorimotor integration at a mechanistic level. Insect neural circuits perform both hard-wired and learned sensorimotor transformations. They modulate their neural processing based on both internal variables, such as the animal{\textquoteright}s behavioral state, and external ones, such as the time of day. Here we present some studies using insect model systems that have produced insights, at the level of individual neurons, about sensorimotor integration and the various ways in which it can be modified by context.

}, issn = {1873-6882}, doi = {10.1016/j.conb.2011.05.030}, author = {Huston*, Stephen J and Jayaraman, Vivek} } @article {5305, title = {Studying sensorimotor processing with physiology in behaving Drosophila.}, journal = {International Review of Neurobiology}, volume = {99}, year = {2011}, month = {2011}, pages = {169-89}, abstract = {

The neural underpinnings of sensorimotor integration are best studied in the context of well-characterized behavior. A rich trove of Drosophila behavioral genetics research offers a variety of well-studied behaviors and candidate brain regions that can form the bases of such studies. The development of tools to perform in vivo physiology from the Drosophila brain has made it possible to monitor activity in defined neurons in response to sensory stimuli. More recently still, it has become possible to perform recordings from identified neurons in the brain of head-fixed flies during walking or flight behaviors. In this chapter, we discuss how experiments that simultaneously monitor behavior and physiology in Drosophila can be combined with other techniques to produce testable models of sensorimotor circuit function.

}, keywords = {Animal, Animals, Behavior, Brain, Drosophila, Electrophysiology, Motivation, Neurons, Psychomotor Performance}, issn = {0074-7742}, doi = {10.1016/B978-0-12-387003-2.00007-0}, author = {Seelig, Johannes D and Jayaraman, Vivek} } @article {1645, title = {Two-photon calcium imaging from head-fixed Drosophila during optomotor walking behavior.}, journal = {Nature Methods}, volume = {7}, year = {2010}, month = {2010 Jul}, pages = {535-40}, abstract = {

Drosophila melanogaster is a model organism rich in genetic tools to manipulate and identify neural circuits involved in specific behaviors. Here we present a technique for two-photon calcium imaging in the central brain of head-fixed Drosophila walking on an air-supported ball. The ball{\textquoteright}s motion is tracked at high resolution and can be treated as a proxy for the fly{\textquoteright}s own movements. We used the genetically encoded calcium sensor, GCaMP3.0, to record from important elements of the motion-processing pathway, the horizontal-system lobula plate tangential cells (LPTCs) in the fly optic lobe. We presented motion stimuli to the tethered fly and found that calcium transients in horizontal-system neurons correlated with robust optomotor behavior during walking. Our technique allows both behavior and physiology in identified neurons to be monitored in a genetic model organism with an extensive repertoire of walking behaviors.

}, keywords = {Animals, Brain, Calcium, Computer-Assisted, Drosophila melanogaster, Fluorescence, Green Fluorescent Proteins, Image Processing, Motion, Motor Activity, Neurons, Signal Transduction, Walking}, issn = {1548-7105}, doi = {10.1038/nmeth.1468}, author = {Seelig, Johannes D and Chiappe, M Eugenia and Lott, Gus K and Dutta, Anirban and Osborne, Jason E and Reiser, Michael B and Jayaraman, Vivek} } @article {3759, title = {Walking modulates speed sensitivity in Drosophila motion vision.}, journal = {Current Biology}, volume = {20}, year = {2010}, month = {2010 Aug 24}, pages = {1470-5}, abstract = {

Changes in behavioral state modify neural activity in many systems. In some vertebrates such modulation has been observed and interpreted in the context of attention and sensorimotor coordinate transformations. Here we report state-dependent activity modulations during walking in a visual-motor pathway of Drosophila. We used two-photon imaging to monitor intracellular calcium activity in motion-sensitive lobula plate tangential cells (LPTCs) in head-fixed Drosophila walking on an air-supported ball. Cells of the horizontal system (HS){\textendash}a subgroup of LPTCs{\textendash}showed stronger calcium transients in response to visual motion when flies were walking rather than resting. The amplified responses were also correlated with walking speed. Moreover, HS neurons showed a relatively higher gain in response strength at higher temporal frequencies, and their optimum temporal frequency was shifted toward higher motion speeds. Walking-dependent modulation of HS neurons in the Drosophila visual system may constitute a mechanism to facilitate processing of higher image speeds in behavioral contexts where these speeds of visual motion are relevant for course stabilization.

}, keywords = {Animals, Calcium, Calcium Signaling, Drosophila, Motion Perception, Photic Stimulation, Walking}, issn = {1879-0445}, doi = {10.1016/j.cub.2010.06.072}, author = {Chiappe, M Eugenia and Seelig, Johannes D and Reiser, Michael B and Jayaraman, Vivek} } @inbook {3326, title = {Circuit dynamics and neural coding in the locust olfactory system.}, booktitle = {The New Encyclopedia of Neuroscience}, year = {2009}, publisher = {Elsevier Science}, organization = {Elsevier Science}, address = {Oxford}, author = {Jayaraman, Vivek and Laurent, Gilles} } @article {1646, title = {Imaging neural activity in worms, flies and mice with improved GCaMP calcium indicators.}, journal = {Nature Methods}, volume = {6}, year = {2009}, month = {2009 Dec}, pages = {875-81}, abstract = {

Genetically encoded calcium indicators (GECIs) can be used to image activity in defined neuronal populations. However, current GECIs produce inferior signals compared to synthetic indicators and recording electrodes, precluding detection of low firing rates. We developed a single-wavelength GCaMP2-based GECI (GCaMP3), with increased baseline fluorescence (3-fold), increased dynamic range (3-fold) and higher affinity for calcium (1.3-fold). We detected GCaMP3 fluorescence changes triggered by single action potentials in pyramidal cell dendrites, with signal-to-noise ratio and photostability substantially better than those of GCaMP2, D3cpVenus and TN-XXL. In Caenorhabditis elegans chemosensory neurons and the Drosophila melanogaster antennal lobe, sensory stimulation-evoked fluorescence responses were significantly enhanced with GCaMP3 (4-6-fold). In somatosensory and motor cortical neurons in the intact mouse, GCaMP3 detected calcium transients with amplitudes linearly dependent on action potential number. Long-term imaging in the motor cortex of behaving mice revealed large fluorescence changes in imaged neurons over months.

}, keywords = {Animals, Brain, Caenorhabditis elegans, Calcium, Cell Line, Drosophila melanogaster, Fluorescence Resonance Energy Transfer, Humans, Mice, Neurons}, issn = {1548-7105}, doi = {10.1038/nmeth.1398}, author = {Tian, Lin and Hires, S Andrew and Mao, Tianyi and Huber, Daniel and Chiappe, M Eugenia and Chalasani, Sreekanth H and Petreanu, Leopoldo and Akerboom, Jasper and McKinney, Sean A and Schreiter, Eric R and Bargmann, Cornelia I and Jayaraman, Vivek and Svoboda, Karel and Looger, Loren L} } @article {1647, title = {Evaluating a genetically encoded optical sensor of neural activity using electrophysiology in intact adult fruit flies.}, journal = {Frontiers in Neural Circuits}, volume = {1}, year = {2007}, month = {2007 Nov 2}, pages = {3}, abstract = {

Genetically encoded optical indicators hold the promise of enabling non-invasive monitoring of activity in identified neurons in behaving organisms. However, the interpretation of images of brain activity produced using such sensors is not straightforward. Several recent studies of sensory coding used G-CaMP 1.3-a calcium sensor-as an indicator of neural activity; some of these studies characterized the imaged neurons as having narrow tuning curves, a conclusion not always supported by parallel electrophysiological studies. To better understand the possible cause of these conflicting results, we performed simultaneous in vivo 2-photon imaging and electrophysiological recording of G-CaMP 1.3 expressing neurons in the antennal lobe (AL) of intact fruitflies. We find that G-CaMP has a relatively high threshold, that its signal often fails to capture spiking response kinetics, and that it can miss even high instantaneous rates of activity if those are not sustained. While G-CaMP can be misleading, it is clearly useful for the identification of promising neural targets: when electrical activity is well above the sensor{\textquoteright}s detection threshold, its signal is fairly well correlated with mean firing rate and G-CaMP does not appear to alter significantly the responses of neurons that express it. The methods we present should enable any genetically encoded sensor, activator, or silencer to be evaluated in an intact neural circuit in vivo in Drosophila.

}, issn = {1662-5110}, doi = {10.3389/neuro.04.003.2007}, author = {Jayaraman, Vivek and Laurent, Gilles} } @article {1648, title = {Encoding and decoding of overlapping odor sequences.}, journal = {Neuron}, volume = {51}, year = {2005}, month = {2006 Aug 17}, pages = {467-82}, abstract = {

Odors evoke complex responses in locust antennal lobe projection neurons (PNs)-the mitral cell analogs. These patterns evolve over hundreds of milliseconds and contain information about odor identity and concentration. In nature, animals often encounter many odorants in short temporal succession. We explored the effects of such conditions by presenting two different odors with variable intervening delays. PN ensemble representations tracked stimulus changes and, in some delay conditions, reached states that corresponded neither to the representation of either odor alone nor to the static mixture of the two. We then recorded from Kenyon cells (KCs), the PNs{\textquoteright} targets. Their responses were consistent with the PN population{\textquoteright}s behavior: in some conditions, KCs were recruited that did not fire during single-odor or mixture stimuli. Thus, PN population dynamics are history dependent, and responses of individual KCs are consistent with piecewise temporal decoding of PN output over large sections of the PN population.

}, keywords = {Action Potentials, Afferent, Afferent Pathways, Animals, Chemical, Discrimination (Psychology), Locusta migratoria, Male, Neural Inhibition, Neurons, Odors, Reaction Time, Sense Organs, Stimulation, Time Factors}, issn = {0896-6273}, doi = {10.1016/j.neuron.2006.07.018}, author = {Broome, Bede M and Jayaraman, Vivek and Laurent, Gilles} } @article {1649, title = {Intensity versus identity coding in an olfactory system.}, journal = {Neuron}, volume = {39}, year = {2003}, month = {2003 Sep 11}, pages = {991-1004}, abstract = {

We examined the encoding and decoding of odor identity and intensity by neurons in the antennal lobe and the mushroom body, first and second relays, respectively, of the locust olfactory system. Increased odor concentration led to changes in the firing patterns of individual antennal lobe projection neurons (PNs), similar to those caused by changes in odor identity, thus potentially confounding representations for identity and concentration. However, when these time-varying responses were examined across many PNs, concentration-specific patterns clustered by identity, resolving the apparent confound. This is because PN ensemble representations changed relatively continuously over a range of concentrations of each odorant. The PNs{\textquoteright} targets in the mushroom body-Kenyon cells (KCs)-had sparse identity-specific responses with diverse degrees of concentration invariance. The tuning of KCs to identity and concentration and the patterning of their responses are consistent with piecewise decoding of their PN inputs over oscillation-cycle length epochs.

}, keywords = {Action Potentials, Animals, Female, Grasshoppers, Male, Mushroom Bodies, Neurons, Odors, Reaction Time, Smell}, issn = {0896-6273}, author = {Stopfer, Mark and Jayaraman, Vivek and Laurent, Gilles} }