@article {70093, title = {iGABASnFR2: Improved genetically encoded protein sensors of GABA}, journal = {eLife}, year = {2026}, month = {2026 Feb 25}, abstract = {

Monitoring GABAergic inhibition in the nervous system has been enabled by development of an intensiometric molecular sensor that directly detects GABA. However, the first generation iGABASnFR exhibits low signal-to-noise and suboptimal kinetics, making in vivo experiments challenging. To improve sensor performance, we targeted several sites in the protein for near-saturation mutagenesis and evaluated the resulting sensor variants in a high throughput screening system using evoked synaptic release in primary cultured neurons. This identified a sensor variant, iGABASnFR2, with 4.2-fold improved sensitivity and 20\% faster kinetics, and binding affinity that remained in a range sensitive to changes in GABA concentration at synapses. We also identified sensors with an inverted response, decreasing fluorescence intensity upon GABA binding. We termed the best such negative-going sensor iGABASnFR2n, which can be used to corroborate observations with the positive-going sensor. These improvements yielded a qualitative enhancement of in vivo performance when compared directly to the original sensor. iGABASnFR2 enabled the first measurements of direction-selective GABA release in the retina. In vivo imaging in somatosensory cortex revealed that iGABASnFR2 can report volume-transmitted GABA release following whisker stimulation. Overall, the improved sensitivity and kinetics of iGABASnFR2 make it a more effective tool for imaging GABAergic transmission in intact neural circuits.

}, doi = {10.7554/eLife.108319.2}, url = {https://doi.org/10.7554/eLife.108319.2}, author = {Kolb, Ilya and Hasseman, Jeremy P and Matsumoto, Akihiro and Jensen, Thomas P and Kopach, Olga and Arthur, Benjamin J and Zhang, Yan and Tsang, Arthur and Reep, Daniel and Tsegaye, Getahun and Zheng, Jihong and Patel, Ronak H and Looger, Loren L and Marvin, Jonathan S and Korff, Wyatt L and Rusakov, Dmitri A and Yonehara, Keisuke and Turner, Glenn C} } @article {69622, title = {A modular chemigenetic calcium indicator for multiplexed in vivo functional imaging.}, journal = {Nat Methods}, year = {2024}, month = {2024 Sep 20}, abstract = {

Genetically encoded fluorescent calcium indicators allow cellular-resolution recording of physiology. However, bright, genetically targetable indicators that can be multiplexed with existing tools in vivo are needed for simultaneous imaging of multiple signals. Here we describe WHaloCaMP, a modular chemigenetic calcium indicator built from bright dye-ligands and protein sensor domains. Fluorescence change in WHaloCaMP results from reversible quenching of the bound dye via a strategically placed tryptophan. WHaloCaMP is compatible with rhodamine dye-ligands that fluoresce from green to near-infrared, including several that efficiently label the brain in animals. When bound to a near-infrared dye-ligand, WHaloCaMP shows a 7{\texttimes} increase in fluorescence intensity and a 2.1-ns increase in fluorescence lifetime upon calcium binding. We use WHaloCaMP1a to image Ca responses in vivo in flies and mice, to perform three-color multiplexed functional imaging of hundreds of neurons and astrocytes in zebrafish larvae and to quantify Ca concentration using fluorescence lifetime imaging microscopy (FLIM).

}, issn = {1548-7105}, doi = {10.1038/s41592-024-02411-6}, url = {https://doi.org/10.1038/s41592-024-02411-6}, author = {Farrants, Helen and Shuai, Yichun and Lemon, William C and Monroy Hernandez, Christian and Zhang, Deng and Yang, Shang and Patel, Ronak and Qiao, Guanda and Frei, Michelle S and Plutkis, Sarah E and Grimm, Jonathan B and Hanson, Timothy L and Tomaska, Filip and Turner, Glenn C and Stringer, Carsen and Keller, Philipp J and Beyene, Abraham G and Chen, Yao and Liang, Yajie and Lavis, Luke D and Schreiter, Eric R} } @article {69054, title = {Effects of stochastic coding on olfactory discrimination in flies and mice.}, journal = {PLoS Biology}, volume = {21}, year = {2023}, month = {2023 Oct 31}, pages = {e3002206}, abstract = {

Sparse coding can improve discrimination of sensory stimuli by reducing overlap between their representations. Two factors, however, can offset sparse coding{\textquoteright}s benefits: similar sensory stimuli have significant overlap and responses vary across trials. To elucidate the effects of these 2 factors, we analyzed odor responses in the fly and mouse olfactory regions implicated in learning and discrimination-the mushroom body (MB) and the piriform cortex (PCx). We found that neuronal responses fall along a continuum from extremely reliable across trials to extremely variable or stochastic. Computationally, we show that the observed variability arises from noise within central circuits rather than sensory noise. We propose this coding scheme to be advantageous for coarse- and fine-odor discrimination. More reliable cells enable quick discrimination between dissimilar odors. For similar odors, however, these cells overlap and do not provide distinguishing information. By contrast, more unreliable cells are decorrelated for similar odors, providing distinguishing information, though these benefits only accrue with extended training with more trials. Overall, we have uncovered a conserved, stochastic coding scheme in vertebrates and invertebrates, and we identify a candidate mechanism, based on variability in a winner-take-all (WTA) inhibitory circuit, that improves discrimination with training.

}, keywords = {Animals, Diptera, Learning, Mice, Odorants, Olfactory Pathways, Olfactory Perception, Smell}, issn = {1545-7885}, doi = {10.1371/journal.pbio.3002206}, author = {Srinivasan, Shyam and Daste, Simon and Modi, Mehrab N and Turner, Glenn C and Fleischmann, Alexander and Navlakha, Saket} } @article {68665, title = {Fast and sensitive GCaMP calcium indicators for imaging neural populations.}, journal = {Nature}, year = {2023}, month = {2023 Mar 15}, abstract = {

Calcium imaging with protein-based indicators is widely used to follow neural activity in intact nervous systems, but current protein sensors report neural activity at timescales much slower than electrical signalling and are limited by trade-offs between sensitivity and kinetics. Here we used large-scale screening and structure-guided mutagenesis to develop and optimize several fast and sensitive GCaMP-type indicators. The resulting {\textquoteright}jGCaMP8{\textquoteright} sensors, based on the calcium-binding protein calmodulin and a fragment of endothelial nitric oxide synthase, have ultra-fast kinetics (half-rise times of 2 ms) and the highest sensitivity for neural activity reported for a protein-based calcium sensor. jGCaMP8 sensors will allow tracking of large populations of neurons on timescales relevant to neural computation.

}, issn = {1476-4687}, doi = {10.1038/s41586-023-05828-9}, author = {Zhang, Yan and Rozsa, Marton and Liang, Yajie and Bushey, Daniel and Wei, Ziqiang and Zheng, Jihong and Reep, Daniel and Broussard, Gerard Joey and Tsang, Arthur and Tsegaye, Getahun and Narayan, Sujatha and Obara, Christopher J and Lim, Jing-Xuan and Patel, Ronak and Zhang, Rongwei and Ahrens, Misha B and Turner, Glenn C and Wang, Samuel S-H and Korff, Wyatt L and Schreiter, Eric R and Svoboda, Karel and Hasseman, Jeremy P and Kolb, Ilya and Looger, Loren L} } @article {68837, title = {Input density tunes Kenyon cell sensory responses in the Drosophila mushroom body.}, journal = {Current Biology}, year = {2023}, month = {2023 Jun 20}, abstract = {

The ability to discriminate sensory stimuli with overlapping features is thought to arise in brain structures called expansion layers, where neurons carrying information about sensory features make combinatorial connections onto a much larger set of cells. For 50 years, expansion coding has been a prime topic of theoretical neuroscience, which seeks to explain how quantitative parameters of the expansion circuit influence sensory sensitivity, discrimination, and generalization. Here, we investigate the developmental events that produce the quantitative parameters of the arthropod expansion layer, called the mushroom body. Using Drosophila melanogaster as a model, we employ genetic and chemical tools to engineer changes to circuit development. These allow us to produce living animals with hypothesis-driven variations on natural expansion layer wiring parameters. We then test the functional and behavioral consequences. By altering the number of expansion layer neurons (Kenyon cells) and their dendritic complexity, we find that input density, but not cell number, tunes neuronal odor selectivity. Simple odor discrimination behavior is maintained when the Kenyon cell number is reduced and augmented by Kenyon cell number expansion. Animals with increased input density to each Kenyon cell show increased overlap in Kenyon cell odor responses and become worse at odor discrimination tasks.

}, issn = {1879-0445}, doi = {10.1016/j.cub.2023.05.064}, author = {Ahmed, Maria and Rajagopalan, Adithya E and Pan, Yijie and Li, Ye and Williams, Donnell L and Pedersen, Erik A and Thakral, Manav and Previero, Angelica and Close, Kari C and Christoforou, Christina P and Cai, Dawen and Turner, Glenn C and Clowney, E Josephine} } @article {68886, title = {Input density tunes Kenyon cell sensory responses in the Drosophila mushroom body.}, journal = {Current Biology}, volume = {33}, year = {2023}, month = {2023 Jul 10}, pages = {2742-2760.e12}, abstract = {

The ability to discriminate sensory stimuli with overlapping features is thought to arise in brain structures called expansion layers, where neurons carrying information about sensory features make combinatorial connections onto a much larger set of cells. For 50 years, expansion coding has been a prime topic of theoretical neuroscience, which seeks to explain how quantitative parameters of the expansion circuit influence sensory sensitivity, discrimination, and generalization. Here, we investigate the developmental events that produce the quantitative parameters of the arthropod expansion layer, called the mushroom body. Using Drosophila melanogaster as a model, we employ genetic and chemical tools to engineer changes to circuit development. These allow us to produce living animals with hypothesis-driven variations on natural expansion layer wiring parameters. We then test the functional and behavioral consequences. By altering the number of expansion layer neurons (Kenyon cells) and their dendritic complexity, we find that input density, but not cell number, tunes neuronal odor selectivity. Simple odor discrimination behavior is maintained when the Kenyon cell number is reduced and augmented by Kenyon cell number expansion. Animals with increased input density to each Kenyon cell show increased overlap in Kenyon cell odor responses and become worse at odor discrimination tasks.

}, keywords = {Animals, Drosophila, Drosophila melanogaster, Drosophila Proteins, Mushroom Bodies, Neurons, Odorants}, issn = {1879-0445}, doi = {10.1016/j.cub.2023.05.064}, author = {Ahmed, Maria and Rajagopalan, Adithya E and Pan, Yijie and Li, Ye and Williams, Donnell L and Pedersen, Erik A and Thakral, Manav and Previero, Angelica and Close, Kari C and Christoforou, Christina P and Cai, Dawen and Turner, Glenn C and Clowney, E Josephine} } @article {65655, title = {The Drosophila mushroom body: From architecture to algorithm in a learning circuit.}, journal = {Annual Review of Neuroscience}, volume = {43}, year = {2020}, month = {2020 Jul 08}, pages = {465-484}, abstract = {

The brain contains a relatively simple circuit for forming Pavlovian associations, yet it achieves many operations common across memory systems. Recent advances have established a clear framework for learning and revealed the following key operations: ) pattern separation, whereby dense combinatorial representations of odors are preprocessed to generate highly specific, nonoverlapping odor patterns used for learning; ) convergence, in which sensory information is funneled to a small set of output neurons that guide behavioral actions; ) plasticity, where changing the mapping of sensory input to behavioral output requires a strong reinforcement signal, which is also modulated by internal state and environmental context; and ) modularization, in which a memory consists of multiple parallel traces, which are distinct in stability and flexibility and exist in anatomically well-defined modules within the network. Cross-module interactions allow for higher-order effects where past experience influences future learning. Many of these operations have parallels with processes of memory formation and action selection in more complex brains.

}, issn = {1545-4126}, doi = {10.1146/annurev-neuro-080317-0621333}, author = {Modi, Mehrab N and Shuai, Yichun and Turner, Glenn C} } @article {65130, title = {Idiosyncratic neural coding and neuromodulation of olfactory individuality in Drosophila.}, journal = {Proceedings of the National Academy of Sciences of the United States of America}, volume = {117}, year = {2020}, month = {2020 Sep 22}, pages = {23292-23297}, abstract = {

Innate behavioral biases and preferences can vary significantly among individuals of the same genotype. Though individuality is a fundamental property of behavior, it is not currently understood how individual differences in brain structure and physiology produce idiosyncratic behaviors. Here we present evidence for idiosyncrasy in olfactory behavior and neural responses in We show that individual female from a highly inbred laboratory strain exhibit idiosyncratic odor preferences that persist for days. We used in vivo calcium imaging of neural responses to compare projection neuron (second-order neurons that convey odor information from the sensory periphery to the central brain) responses to the same odors across animals. We found that, while odor responses appear grossly stereotyped, upon closer inspection, many individual differences are apparent across antennal lobe (AL) glomeruli (compact microcircuits corresponding to different odor channels). Moreover, we show that neuromodulation, environmental stress in the form of altered nutrition, and activity of certain AL local interneurons affect the magnitude of interfly behavioral variability. Taken together, this work demonstrates that individual exhibit idiosyncratic olfactory preferences and idiosyncratic neural responses to odors, and that behavioral idiosyncrasies are subject to neuromodulation and regulation by neurons in the AL.

}, issn = {1091-6490}, doi = {10.1073/pnas.1901623116}, author = {Honegger, Kyle S and Smith, Matthew A-Y and Churgin, Matthew A and Turner, Glenn C and de Bivort, Benjamin L} } @article {65386, title = {The Mushroom Body: From Architecture to Algorithm in a Learning Circuit.}, journal = {Annual Review of Neuroscience}, year = {2020}, month = {2020 Apr 13}, abstract = {

The brain contains a relatively simple circuit for forming Pavlovian associations, yet it achieves many operations common across memory systems. Recent advances have established a clear framework for learning and revealed the following key operations: ) pattern separation, whereby dense combinatorial representations of odors are preprocessed to generate highly specific, nonoverlapping odor patterns used for learning; ) convergence, in which sensory information is funneled to a small set of output neurons that guide behavioral actions; ) plasticity, where changing the mapping of sensory input to behavioral output requires a strong reinforcement signal, which is also modulated by internal state and environmental context; and ) modularization, in which a memory consists of multiple parallel traces, which are distinct in stability and flexibility and exist in anatomically well-defined modules within the network. Cross-module interactions allow for higher-order effects where past experience influences future learning. Many of these operations have parallels with processes of memory formation and action selection in more complex brains. 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-080317-0621333}, author = {Modi, Mehrab N and Shuai, Yichun and Turner, Glenn C} } @article {65081, title = {Bright and photostable chemigenetic indicators for extended in vivo voltage imaging.}, journal = {Science}, volume = {365}, year = {2019}, month = {2019 Aug 13}, pages = {699-704}, abstract = {

Imaging changes in membrane potential using genetically encoded fluorescent voltage indicators (GEVIs) has great potential for monitoring neuronal activity with high spatial and temporal resolution. Brightness and photostability of fluorescent proteins and rhodopsins have limited the utility of existing GEVIs. We engineered a novel GEVI, "Voltron", that utilizes bright and photostable synthetic dyes instead of protein-based fluorophores, extending the combined duration of imaging and number of neurons imaged simultaneously by more than tenfold relative to existing GEVIs. We used Voltron for in vivo voltage imaging in mice, zebrafish, and fruit flies. In mouse cortex, Voltron allowed single-trial recording of spikes and subthreshold voltage signals from dozens of neurons simultaneously, over 15 min of continuous imaging. In larval zebrafish, Voltron enabled the precise correlation of spike timing with behavior.

}, issn = {1095-9203}, doi = {10.1126/science.aav6416}, author = {Abdelfattah, Ahmed S and Kawashima, Takashi and Singh, Amrita and Novak, Ondrej and Liu, Hui and Shuai, Yichun and Huang, Yi-Chieh and Campagnola, Luke and Seeman, Stephanie C and Yu, Jianing and Zheng, Jihong and Grimm, Jonathan B and Patel, Ronak and Friedrich, Johannes and Mensh, Brett D and Paninski, Liam and Macklin, John J and Murphy, Gabe J and Podgorski, Kaspar and Lin, Bei-Jung and Chen, Tsai-Wen and Turner, Glenn C and Liu, Zhe and Koyama, Minoru and Svoboda, Karel and Ahrens, Misha B and Lavis, Luke D and Schreiter, Eric R} } @article {65254, title = {Two-photon imaging with silicon photomultipliers.}, journal = {Optics Express}, volume = {27}, year = {2019}, month = {2019 Nov 25}, pages = {35830-35841}, abstract = {

We compared performance of recently developed silicon photomultipliers (SiPMs) to GaAsP photomultiplier tubes (PMTs) for two-photon imaging of neural activity. Despite higher dark counts, SiPMs match or exceed the signal-to-noise ratio of PMTs at photon rates encountered in typical calcium imaging experiments due to their low pulse height variability. At higher photon rates encountered during high-speed voltage imaging, SiPMs substantially outperform PMTs.

}, issn = {1094-4087}, doi = {10.1364/OE.27.035830}, author = {Modi, Mehrab N and Daie, Kayvon and Turner, Glenn C and Podgorski, Kaspar} } @article {47434, title = {Direct neural pathways convey distinct visual information to Drosophila mushroom bodies.}, journal = {eLife}, volume = {5}, year = {2016}, month = {2016 Apr 15}, pages = {e14009}, abstract = {

Previously, we identified that visual and olfactory associative memories of Drosophila share the mushroom body (MB) circuits (Vogt et al. 2014). Despite well-characterized odor representations in the Drosophila MB, the MB circuit for visual information is totally unknown. Here we show that a small subset of MB Kenyon cells (KCs) selectively responds to visual but not olfactory stimulation. The dendrites of these atypical KCs form a ventral accessory calyx (vAC), distinct from the main calyx that receives olfactory input. We identified two types of visual projection neurons (VPNs) directly connecting the optic lobes and the vAC. Strikingly, these VPNs are differentially required for visual memories of color and brightness. The segregation of visual and olfactory domains in the MB allows independent processing of distinct sensory memories and may be a conserved form of sensory representations among insects.

}, issn = {2050-084X}, doi = {10.7554/eLife.14009}, author = {Vogt, Katrin and Aso, Yoshinori and Hige, Toshihide and Knapek, Stephan and Ichinose, Toshiharu and Friedrich, Anja B and Turner, Glenn C and Rubin, Gerald M and Tanimoto, Hiromu} } @article {47180, title = {Heterosynaptic plasticity underlies aversive olfactory learning in Drosophila}, journal = {Neuron}, volume = {88}, year = {2015}, month = {2015 Dec 2}, pages = {985-98}, abstract = {

Although associative learning has been localized to specific brain areas in many animals, identifying the underlying synaptic processes in vivo has been difficult. Here, we provide the first demonstration of long-term synaptic plasticity at the output site of the Drosophila mushroom body. Pairing an odor with activation of specific dopamine neurons induces both learning and odor-specific synaptic depression. The plasticity induction strictly depends on the temporal order of the two stimuli, replicating the logical requirement for associative learning. Furthermore, we reveal that dopamine action is confined to and distinct across different anatomical compartments of the mushroom body lobes. Finally, we find that overlap between sparse representations of different odors defines both stimulus specificity of the plasticity and generalizability of associative memories across odors. Thus, the plasticity we find here not only manifests important features of associative learning but also provides general insights into how a sparse sensory code is read out.

}, doi = {10.1016/j.neuron.2015.11.003}, author = {Hige, Toshihide and Aso, Yoshinori and Modi, Mehrab and Rubin, Gerald M and Turner, Glenn C} } @article {47409, title = {Plasticity-driven individualization of olfactory coding in mushroom body output neurons.}, journal = {Nature}, volume = {526}, year = {2015}, month = {2015 Oct 8}, pages = {258-62}, abstract = {

Although all sensory circuits ascend to higher brain areas where stimuli are represented in sparse, stimulus-specific activity patterns, relatively little is known about sensory coding on the descending side of neural circuits, as a network converges. In insects, mushroom bodies have been an important model system for studying sparse coding in the olfactory system, where this format is important for accurate memory formation. In Drosophila, it has recently been shown that the 2,000 Kenyon cells of the mushroom body converge onto a population of only 34 mushroom body output neurons (MBONs), which fall into 21 anatomically distinct cell types. Here we provide the first, to our knowledge, comprehensive view of olfactory representations at the fourth layer of the circuit, where we find a clear transition in the principles of sensory coding. We show that MBON tuning curves are highly correlated with one another. This is in sharp contrast to the process of progressive decorrelation of tuning in the earlier layers of the circuit. Instead, at the population level, odour representations are reformatted so that positive and negative correlations arise between representations of different odours. At the single-cell level, we show that uniquely identifiable MBONs display profoundly different tuning across different animals, but that tuning of the same neuron across the two hemispheres of an individual fly was nearly identical. Thus, individualized coordination of tuning arises at this level of the olfactory circuit. Furthermore, we find that this individualization is an active process that requires a learning-related gene, rutabaga. Ultimately, neural circuits have to flexibly map highly stimulus-specific information in sparse layers onto a limited number of different motor outputs. The reformatting of sensory representations we observe here may mark the beginning of this sensory-motor transition in the olfactory system.

}, keywords = {Adenylyl Cyclases, Animals, Drosophila melanogaster, Drosophila Proteins, Female, Learning, Male, Mushroom Bodies, Mutation, Neuronal Plasticity, Neurons, Olfactory Pathways, Olfactory Perception, Psychomotor Performance}, issn = {1476-4687}, doi = {10.1038/nature15396}, author = {Hige, Toshihide and Aso, Yoshinori and Rubin, Gerald M and Turner, Glenn C} } @article {47218, title = {OpenStage: a low-cost motorized microscope stage with sub-micron positioning accuracy.}, journal = {PloS One}, volume = {9}, year = {2014}, month = {2014 Feb 26}, pages = {e88977}, abstract = {

Recent progress in intracellular calcium sensors and other fluorophores has promoted the widespread adoption of functional optical imaging in the life sciences. Home-built multiphoton microscopes are easy to build, highly customizable, and cost effective. For many imaging applications a 3-axis motorized stage is critical, but commercially available motorization hardware (motorized translators, controller boxes, etc) are often very expensive. Furthermore, the firmware on commercial motor controllers cannot easily be altered and is not usually designed with a microscope stage in mind. Here we describe an open-source motorization solution that is simple to construct, yet far cheaper and more customizable than commercial offerings. The cost of the controller and motorization hardware are under $1000. Hardware costs are kept low by replacing linear actuators with high quality stepper motors. Electronics are assembled from commonly available hobby components, which are easy to work with. Here we describe assembly of the system and quantify the positioning accuracy of all three axes. We obtain positioning repeatability of the order of 1 μm in X/Y and 0.1 μm in Z. A hand-held control-pad allows the user to direct stage motion precisely over a wide range of speeds (10(-1) to 10(2) μm{\textperiodcentered}s(-1)), rapidly store and return to different locations, and execute "jumps" of a fixed size. In addition, the system can be controlled from a PC serial port. Our "OpenStage" controller is sufficiently flexible that it could be used to drive other devices, such as micro-manipulators, with minimal modifications.

}, keywords = {Costs and Cost Analysis, Equipment Design, Microscopy, Reproducibility of Results}, issn = {1932-6203}, doi = {10.1371/journal.pone.0088977}, author = {Campbell, Robert A A and Eifert, Robert W and Turner, Glenn C} } @article {47220, title = {Imaging a population code for odor identity in the Drosophila mushroom body.}, journal = {The Journal of Neuroscience : the official journal of the Society for Neuroscience}, volume = {33}, year = {2013}, month = {2013 Jun 19}, pages = {10568-81}, abstract = {

The brain represents sensory information in the coordinated activity of neuronal ensembles. Although the microcircuits underlying olfactory processing are well characterized in Drosophila, no studies to date have examined the encoding of odor identity by populations of neurons and related it to the odor specificity of olfactory behavior. Here we used two-photon Ca(2+) imaging to record odor-evoked responses from \>100 neurons simultaneously in the Drosophila mushroom body (MB). For the first time, we demonstrate quantitatively that MB population responses contain substantial information on odor identity. Using a series of increasingly similar odor blends, we identified conditions in which odor discrimination is difficult behaviorally. We found that MB ensemble responses accounted well for olfactory acuity in this task. Kenyon cell ensembles with as few as 25 cells were sufficient to match behavioral discrimination accuracy. Using a generalization task, we demonstrated that the MB population code could predict the flies{\textquoteright} responses to novel odors. The degree to which flies generalized a learned aversive association to unfamiliar test odors depended upon the relative similarity between the odors{\textquoteright} evoked MB activity patterns. Discrimination and generalization place different demands on the animal, yet the flies{\textquoteright} choices in these tasks were reliably predicted based on the amount of overlap between MB activity patterns. Therefore, these different behaviors can be understood in the context of a single physiological framework.

}, keywords = {Animals, Calcium, Discrimination (Psychology), Drosophila, Generalization (Psychology), Image Processing, Computer-Assisted, Learning, Linear Models, Mushroom Bodies, Neuroimaging, Odors, Olfactory Pathways, Olfactory Perception, Psychomotor Performance, Synaptic Transmission}, issn = {1529-2401}, doi = {10.1523/JNEUROSCI.0682-12.2013}, author = {Campbell, Robert A A and Honegger, Kyle S and Qin, Hongtao and Li, Wanhe and Demir, Ebru and Turner, Glenn C} } @article {47746, title = {Integration of the olfactory code across dendritic claws of single mushroom body neurons.}, journal = {Nature Neuroscience}, volume = {16}, year = {2013}, month = {2013 Oct 20}, pages = {1821-9}, abstract = {

In the olfactory system, sensory inputs are arranged in different glomerular channels, which respond in combinatorial ensembles to the various chemical features of an odor. Here we investigate where and how this combinatorial code is read out deeper in the brain. We exploit the unique morphology of neurons in the mushroom body (MB), which receive input on large dendritic claws. Imaging odor responses of these dendritic claws shows that input channels with distinct odor tuning converge on individual MB neurons. We determined how these inputs interact to drive the cell to spike threshold using intracellular recordings to examine MB responses to optogenetically controlled input. Our results provide an elegant explanation for the characteristic selectivity of MB neurons: these cells receive different types of input, and require those inputs to be coactive in order to spike. These results establish the MB as an important site of integration in the fly olfactory system.

}, doi = {10.1038/nn.3547}, author = {Gruntman, Eyal and Turner, Glenn C} } @article {47219, title = {Integration of the olfactory code across dendritic claws of single mushroom body neurons.}, journal = {Nature Neuroscience}, volume = {16}, year = {2013}, month = {2013 Dec}, pages = {1821-9}, abstract = {

In the olfactory system, sensory inputs are arranged in different glomerular channels, which respond in combinatorial ensembles to the various chemical features of an odor. We investigated where and how this combinatorial code is read out deeper in the brain. We exploited the unique morphology of neurons in the Drosophila mushroom body, which receive input on large dendritic claws. Imaging odor responses of these dendritic claws revealed that input channels with distinct odor tuning converge on individual mushroom body neurons. We determined how these inputs interact to drive the cell to spike threshold using intracellular recordings to examine mushroom body responses to optogenetically controlled input. Our results provide an elegant explanation for the characteristic selectivity of mushroom body neurons: these cells receive different types of input and require those inputs to be coactive to spike. These results establish the mushroom body as an important site of integration in the fly olfactory system.

}, keywords = {Animals, Animals, Genetically Modified, Calcium, Dendrites, Drosophila, Drosophila Proteins, Electric Stimulation, Female, Luminescent Proteins, Membrane Potentials, Models, Neurological, Mushroom Bodies, Neurons, Odors, Olfactory Pathways, Patch-Clamp Techniques, Photic Stimulation, Rhodopsin, Synapses}, issn = {1546-1726}, doi = {10.1038/nn.3547}, author = {Gruntman, Eyal and Turner, Glenn C} } @article {47221, title = {Cellular-resolution population imaging reveals robust sparse coding in the Drosophila mushroom body.}, journal = {The Journal of Neuroscience : the official journal of the Society for Neuroscience}, volume = {31}, year = {2011}, month = {2011 Aug 17}, pages = {11772-85}, abstract = {

Sensory stimuli are represented in the brain by the activity of populations of neurons. In most biological systems, studying population coding is challenging since only a tiny proportion of cells can be recorded simultaneously. Here we used two-photon imaging to record neural activity in the relatively simple Drosophila mushroom body (MB), an area involved in olfactory learning and memory. Using the highly sensitive calcium indicator GCaMP3, we simultaneously monitored the activity of \>100 MB neurons in vivo (\~{}5\% of the total population). The MB is thought to encode odors in sparse patterns of activity, but the code has yet to be explored either on a population level or with a wide variety of stimuli. We therefore imaged responses to odors chosen to evaluate the robustness of sparse representations. Different odors activated distinct patterns of MB neurons; however, we found no evidence for spatial organization of neurons by either response probability or odor tuning within the cell body layer. The degree of sparseness was consistent across a wide range of stimuli, from monomolecular odors to artificial blends and even complex natural smells. Sparseness was mainly invariant across concentrations, largely because of the influence of recent odor experience. Finally, in contrast to sensory processing in other systems, no response features distinguished natural stimuli from monomolecular odors. Our results indicate that the fundamental feature of odor processing in the MB is to create sparse stimulus representations in a format that facilitates arbitrary associations between odor and punishment or reward.

}, keywords = {Animals, Animals, Genetically Modified, Diagnostic Imaging, Drosophila, Microscopy, Fluorescence, Multiphoton, Mushroom Bodies, Odors, Olfactory Pathways, Olfactory Receptor Neurons, Random Allocation, Smell}, issn = {1529-2401}, doi = {10.1523/JNEUROSCI.1099-11.2011}, author = {Honegger, Kyle S and Campbell, Robert A A and Turner, Glenn C} } @article {47222, title = {Heterotypic gap junctions between two neurons in the drosophila brain are critical for memory.}, journal = {Current Biology : CB}, volume = {21}, year = {2011}, month = {2011 May 24}, pages = {848-54}, abstract = {

Gap junctions play an important role in the regulation of neuronal metabolism and homeostasis by serving as connections that enable small molecules to pass between cells and synchronize activity between cells. Although recent studies have linked gap junctions to memory formation, it remains unclear how they contribute to this process. Gap junctions are hexameric hemichannels formed from the connexin and pannexin gene families in chordates and the innexin (inx) gene family in invertebrates. Here we show that two modulatory neurons, the anterior paired lateral (APL) neuron and the dorsal paired medial (DPM) neuron, form heterotypic gap junctions within the mushroom body (MB), a learning and memory center in the Drosophila brain. Using RNA interference-mediated knockdowns of inx7 and inx6 in the APL and DPM neurons, respectively, we found that flies showed normal olfactory associative learning and intact anesthesia-resistant memory (ARM) but failed to form anesthesia-sensitive memory (ASM). Our results reveal that the heterotypic gap junctions between the APL and DPM neurons are an essential part of the MB circuitry for memory formation, potentially constituting a recurrent neural network to stabilize ASM.

}, keywords = {Anesthesia, Animals, Animals, Genetically Modified, Connexins, Drosophila, Drosophila Proteins, Gap Junctions, Memory, Mushroom Bodies, Neurons, RNA Interference, Smell}, issn = {1879-0445}, doi = {10.1016/j.cub.2011.02.041}, author = {Wu, Chia-Lin and Shih, Meng-Fu Maxwell and Lai, Jason Sih-Yu and Yang, Hsun-Ti and Turner, Glenn C and Chen, Linyi and Chiang, Ann-Shyn} } @article {47227, title = {The mushroom body (Quick guide.)}, journal = {Current Biology : CB}, volume = {20}, year = {2010}, month = {2010 Jan 12}, pages = {R11-2}, doi = {10.1016/j.cub.2009.10.031}, author = {Campbell, Robert A A and Turner, Glenn C} } @article {47226, title = {Olfactory information processing in Drosophila.}, journal = {Current Biology : CB}, volume = {19}, year = {2009}, month = {2009 Aug 25}, pages = {R700-13}, abstract = {

In both insect and vertebrate olfactory systems only two synapses separate the sensory periphery from brain areas required for memory formation and the organisation of behaviour. In the\ Drosophila\ olfactory system, which is anatomically very similar to its vertebrate counterpart, there has been substantial recent progress in understanding the flow of information from experiments using\ molecular genetic, electrophysiological and optical imaging techniques. In this review, we shall focus on how olfactory information is processed and transformed in order to extract behaviourally relevant information. We follow the progress from olfactory receptor neurons, through the first processing area, the antennal lobe, to higher olfactory centres. We address both the underlying anatomy and mechanisms that govern the transformation of neural activity. We emphasise our emerging understanding of how different elementary computations, including signal averaging, gain control, decorrelation and integration, may be mapped onto different circuit elements.

}, doi = {10.1016/j.cub.2009.06.026}, author = {Masse, Nicolas Y and Turner, Glenn C and Jeffers, Gregory SXE} } @article {47223, title = {Olfactory representations by Drosophila mushroom body neurons.}, journal = {Journal of Neurophysiology}, volume = {99}, year = {2008}, month = {2008 Feb}, pages = {734-46}, abstract = {

Learning and memory has been studied extensively in Drosophila using behavioral, molecular, and genetic approaches. These studies have identified the mushroom body as essential for the formation and retrieval of olfactory memories. We investigated odor responses of the principal neurons of the mushroom body, the Kenyon cells (KCs), in Drosophila using whole cell recordings in vivo. KC responses to odors were highly selective and, thus sparse, compared with those of their direct inputs, the antennal lobe projection neurons (PNs). We examined the mechanisms that might underlie this transformation and identified at least three contributing factors: excitatory synaptic potentials (from PNs) decay rapidly, curtailing temporal integration, PN convergence onto individual KCs is low ( approximately 10 PNs per KC on average), and KC firing thresholds are high. Sparse activity is thought to be useful in structures involved in memory in part because sparseness tends to reduce representation overlaps. By comparing activity patterns evoked by the same odors across olfactory receptor neurons and across KCs, we show that representations of different odors do indeed become less correlated as they progress through the olfactory system.

}, keywords = {Anesthetics, Local, Animals, Brain Mapping, Drosophila, Electric Stimulation, Excitatory Postsynaptic Potentials, Membrane Potentials, Mushroom Bodies, Nerve Net, Neurons, Afferent, Odors, Olfactory Pathways, Patch-Clamp Techniques, Spectrum Analysis, Tetrodotoxin}, issn = {0022-3077}, doi = {10.1152/jn.01283.2007}, author = {Turner, Glenn C and Bazhenov, Maxim and Laurent, Gilles} } @article {47224, title = {Transformation of olfactory representations in the Drosophila antennal lobe.}, journal = {Science (New York, N.Y.)}, volume = {303}, year = {2004}, month = {2004 Jan 16}, pages = {366-70}, abstract = {

Molecular genetics has revealed a precise stereotypy in the projection of primary olfactory sensory neurons onto secondary neurons. A major challenge is to understand how this mapping translates into odor responses in these second-order neurons. We investigated this question in Drosophila using whole-cell recordings in vivo. We observe that monomolecular odors generally elicit responses in large ensembles of antennal lobe neurons. Comparison of odor-evoked activity from afferents and postsynaptic neurons in the same glomerulus revealed that second-order neurons display broader tuning and more complex responses than their primary afferents. This indicates a major transformation of odor representations, implicating lateral interactions within the antennal lobe.

}, keywords = {Action Potentials, Animals, Drosophila, Excitatory Postsynaptic Potentials, GABA Antagonists, GABA-A Receptor Antagonists, Nervous System Physiological Phenomena, Neural Inhibition, Neurons, Afferent, Odors, Olfactory Pathways, Olfactory Receptor Neurons, Patch-Clamp Techniques, Picrotoxin, Receptors, GABA-A, Sense Organs, Smell, Synapses}, issn = {1095-9203}, doi = {10.1126/science.1090782}, author = {Wilson, Rachel I and Turner, Glenn C and Laurent, Gilles} } @article {47225, title = {Oscillations and sparsening of odor representations in the mushroom body.}, journal = {Science (New York, N.Y.)}, volume = {297}, year = {2002}, month = {2002 Jul 19}, pages = {359-65}, abstract = {

In the insect olfactory system, oscillatory synchronization is functionally relevant and reflects the coherent activation of dynamic neural assemblies. We examined the role of such oscillatory synchronization in information transfer between networks in this system. The antennal lobe is the obligatory relay for olfactory afferent signals and generates oscillatory output. The mushroom body is responsible for formation and retrieval of olfactory and other memories. The format of odor representations differs significantly across these structures. Whereas representations are dense, dynamic, and seemingly redundant in the antennal lobe, they are sparse and carried by more selective neurons in the mushroom body. This transformation relies on a combination of oscillatory dynamics and intrinsic and circuit properties that act together to selectively filter and synthesize the output from the antennal lobe. These results provide direct support for the functional relevance of correlation codes and shed some light on the role of oscillatory synchronization in sensory networks.

}, keywords = {Action Potentials, Animals, Electric Stimulation, Electrodes, Evoked Potentials, Excitatory Postsynaptic Potentials, Female, gamma-Aminobutyric Acid, Grasshoppers, Interneurons, Male, Mushroom Bodies, Nerve Net, Neural Inhibition, Neurons, Odors, Patch-Clamp Techniques, Picrotoxin, Smell, Synaptic Transmission, Time Factors}, issn = {1095-9203}, doi = {10.1126/science.1070502}, author = {Perez-Orive, Javier and Mazor, Ofer and Turner, Glenn C and Cassenaer, Stijn and Wilson, Rachel I and Laurent, Gilles} }