@article {65226, title = {Spatiotemporal constraints on optogenetic inactivation in cortical circuits.}, journal = {eLife}, volume = {8}, year = {2019}, month = {2019 Nov 18}, abstract = {

Optogenetics allows manipulations of genetically and spatially defined neuronal populations with excellent temporal control. However, neurons are coupled with other neurons over multiple length scales, and the effects of localized manipulations thus spread beyond the targeted neurons. We benchmarked several optogenetic methods to inactivate small regions of neocortex. Optogenetic excitation of GABAergic neurons produced more effective inactivation than light-gated ion pumps. Transgenic mice expressing the light-dependent chloride channel GtACR1 produced the most potent inactivation. Generally, inactivation spread substantially beyond the photostimulation light, caused by strong coupling between cortical neurons. Over some range of light intensity, optogenetic excitation of inhibitory neurons reduced activity in these neurons, together with pyramidal neurons, a signature of inhibition-stabilized neural networks ({\textquoteright}paradoxical effect{\textquoteright}). The offset of optogenetic inactivation was followed by rebound excitation in a light dose-dependent manner, limiting temporal resolution. Our data offer guidance for the design of optogenetics experiments.

}, issn = {2050-084X}, doi = {10.7554/eLife.48622}, author = {Li, Nuo and Chen, Susu and Guo, Zengcai V and Chen, Han and Huo, Yan and Inagaki, Hidehiko K and Chen, Guang and Davis, Courtney and Hansel, David and Guo, Caiying and Svoboda, Karel} } @article {48459, title = {Maintenance of persistent activity in a frontal thalamocortical loop.}, journal = {Nature}, volume = {545}, year = {2017}, month = {2017 May 03}, pages = {181-6}, abstract = {

Persistent neural activity maintains information that connects past and future events. Models of persistent activity often invoke reverberations within local cortical circuits, but long-range circuits could also contribute. Neurons in the mouse anterior lateral motor cortex (ALM) have been shown to have selective persistent activity that instructs future actions. The ALM is connected bidirectionally with parts of the thalamus, including the ventral medial and ventral anterior-lateral nuclei. We recorded spikes from the ALM and thalamus during tactile discrimination with a delayed directional response. Here we show that, similar to ALM neurons, thalamic neurons exhibited selective persistent delay activity that predicted movement direction. Unilateral photoinhibition of delay activity in the ALM or thalamus produced contralesional neglect. Photoinhibition of the thalamus caused a short-latency and near-complete collapse of ALM activity. Similarly, photoinhibition of the ALM diminished thalamic activity. Our results show that the thalamus is a circuit hub in motor preparation and suggest that persistent activity requires reciprocal excitation across multiple brain areas.

}, issn = {1476-4687}, doi = {10.1038/nature22324}, author = {Guo, Zengcai V and Inagaki, Hidehiko K and Daie, Kayvon and Druckmann, Shaul and Gerfen, Charles R and Svoboda, Karel} } @inbook {48598, title = {Flow of information underlying a tactile decision in mice.}, booktitle = {Micro-, Meso- and Macro-Dynamics of the Brain}, year = {2016}, abstract = {

Motor planning allows us to conceive, plan, and initiate skilled motor behaviors. Motor planning involves activity distributed widely across the cortex. How this activity dynamically comes together to guide movement remains an unsolved problem. We study motor planning in mice performing a tactile decision behavior. Head-fixed mice discriminate object locations with their whiskers and report their choice by directional licking ({\textquotedblleft}lick left{\textquotedblright}/{\textquotedblleft}lick right{\textquotedblright}). A short-term memory component separates tactile {\textquotedblleft}sensation{\textquotedblright} and {\textquotedblleft}action{\textquotedblright} into distinct epochs. Using loss-of-function experiments, cell-type specific electrophysiology, and cellular imaging, we delineate when and how activity in specific brain areas and cell types drives motor planning in mice. Our results suggest that information flows serially from sensory to motor areas during motor planning. The motor cortex circuit maintains the motor plan during short-term memory and translates the motor plan into motor commands that drive the upcoming directional licking.

}, doi = {10.1007/978-3-319-28802-4_3}, author = {Li, Nuo and Guo, Zengcai V and Chen, Tsai-Wen and Svoboda, Karel} } @article {6879, title = {Flow of cortical activity underlying a tactile decision in mice.}, journal = {Neuron}, volume = {81}, year = {2014}, month = {2014 Jan 8}, pages = {179-94}, abstract = {

Perceptual decisions involve distributed cortical activity. Does information flow sequentially from one cortical area to another, or do networks of interconnected areas contribute at the same time? Here we delineate when and how activity in specific areas drives a whisker-based decision in mice. A short-term memory component temporally separated tactile "sensation" and "action" (licking). Using optogenetic inhibition (spatial resolution, 2 mm; temporal resolution, 100 ms), we surveyed the neocortex for regions driving behavior during specific behavioral epochs. Barrel cortex was critical for sensation. During the short-term memory, unilateral inhibition of anterior lateral motor cortex biased responses to the ipsilateral side. Consistently, barrel cortex showed stimulus-specific activity during sensation, whereas motor cortex showed choice-specific preparatory activity and movement-related activity, consistent with roles in motor planning and movement. These results suggest serial information flow from sensory to motor areas during perceptual decision making.

}, keywords = {Action Potentials, Afferent Pathways, Animals, Cerebral Cortex, Conditioning, Decision Making, Discrimination (Psychology), Female, Green Fluorescent Proteins, Male, Mice, Motion Perception, Nerve Net, Neurons, Operant, Photic Stimulation, Rhodopsin, Touch, Transgenic, Vesicular Inhibitory Amino Acid Transport Proteins, Vibrissae}, issn = {1097-4199}, doi = {10.1016/j.neuron.2013.10.020}, author = {Guo, Zengcai V and Li, Nuo and Huber, Daniel and Ophir, Eran and Gutnisky, Diego and Ting, Jonathan T and Feng, Guoping and Svoboda, Karel} } @article {6897, title = {Procedures for behavioral experiments in head-fixed mice.}, journal = {PLoS One}, volume = {9}, year = {2014}, month = {2014}, pages = {e88678}, abstract = {

The mouse is an increasingly prominent model for the analysis of mammalian neuronal circuits. Neural circuits ultimately have to be probed during behaviors that engage the circuits. Linking circuit dynamics to behavior requires precise control of sensory stimuli and measurement of body movements. Head-fixation has been used for behavioral research, particularly in non-human primates, to facilitate precise stimulus control, behavioral monitoring and neural recording. However, choice-based, perceptual decision tasks by head-fixed mice have only recently been introduced. Training mice relies on motivating mice using water restriction. Here we describe procedures for head-fixation, water restriction and behavioral training for head-fixed mice, with a focus on active, whisker-based tactile behaviors. In these experiments mice had restricted access to water (typically 1 ml/day). After ten days of water restriction, body weight stabilized at approximately 80\% of initial weight. At that point mice were trained to discriminate sensory stimuli using operant conditioning. Head-fixed mice reported stimuli by licking in go/no-go tasks and also using a forced choice paradigm using a dual lickport. In some cases mice learned to discriminate sensory stimuli in a few trials within the first behavioral session. Delay epochs lasting a second or more were used to separate sensation (e.g. tactile exploration) and action (i.e. licking). Mice performed a variety of perceptual decision tasks with high performance for hundreds of trials per behavioral session. Up to four months of continuous water restriction showed no adverse health effects. Behavioral performance correlated with the degree of water restriction, supporting the importance of controlling access to water. These behavioral paradigms can be combined with cellular resolution imaging, random access photostimulation, and whole cell recordings.

}, issn = {1932-6203}, doi = {10.1371/journal.pone.0088678}, author = {Guo, Zengcai V and Hires, S Andrew and Li, Nuo and O{\textquoteright}Connor, Daniel H and Komiyama, Takaki and Ophir, Eran and Huber, Daniel and Bonardi, Claudia and Morandell, Karin and Gutnisky, Diego and Peron, Simon and Xu, Ning-long and Cox, James and Svoboda, Karel} } @article {6146, title = {Neural coding during active somatosensation revealed using illusory touch.}, journal = {Nature Neuroscience}, volume = {16}, year = {2013}, month = {2013 Jun 2}, pages = {958-65}, abstract = {

Active sensation requires the convergence of external stimuli with representations of body movements. We used mouse behavior, electrophysiology and optogenetics to dissect the temporal interactions among whisker movement, neural activity and sensation of touch. We photostimulated layer 4 activity in single barrels in a closed loop with whisking. Mimicking touch-related neural activity caused illusory perception of an object at a particular location, but scrambling the timing of the spikes over one whisking cycle (tens of milliseconds) did not abolish the illusion, indicating that knowledge of instantaneous whisker position is unnecessary for discriminating object locations. The illusions were induced only during bouts of directed whisking, when mice expected touch, and in the relevant barrel. Reducing activity biased behavior, consistent with a spike count code for object detection at a particular location. Our results show that mice integrate coding of touch with movement over timescales of a whisking bout to produce perception of active touch.

}, issn = {1546-1726}, doi = {10.1038/nn.3419}, author = {O{\textquoteright}Connor, Daniel H and Hires, S Andrew and Guo, Zengcai V and Li, Nuo and Yu, Jianing and Sun, Qian-Quan and Huber, Daniel and Svoboda, Karel} }