@article {67281, title = {Specialized coding of sensory, motor and cognitive variables in VTA dopamine neurons}, journal = {Nature}, volume = {570}, year = {2019}, month = {05/2019}, pages = {509 - 513}, abstract = {

There is increased appreciation that dopamine neurons in the midbrain respond not only to reward1\ and reward-predicting cues1,2, but also to other variables such as the distance to reward3, movements4,5,6,7,8,9\ and behavioural choices10,11. An important question is how the responses to these diverse variables are organized across the population of dopamine neurons. Whether individual dopamine neurons multiplex several variables, or whether there are subsets of neurons that are specialized in encoding specific behavioural variables remains unclear. This fundamental question has been difficult to resolve because recordings from large populations of individual dopamine neurons have not been performed in a behavioural task with sufficient complexity to examine these diverse variables simultaneously. Here, to address this gap, we used two-photon calcium imaging through an implanted lens to record the activity of more than 300 dopamine neurons from the ventral tegmental area of the mouse midbrain during a complex decision-making task. As mice navigated in a virtual-reality environment, dopamine neurons encoded an array of sensory, motor and cognitive variables. These responses were functionally clustered, such that subpopulations of neurons transmitted information about a subset of behavioural variables, in addition to encoding reward. These functional clusters were spatially organized, with neighbouring neurons more likely to be part of the same cluster. Together with the topography between dopamine neurons and their projections, this specialization and anatomical organization may aid downstream circuits in correctly interpreting the wide range of signals transmitted by dopamine neurons.

}, issn = {0028-0836}, doi = {10.1038/s41586-019-1261-9}, url = {http://www.nature.com/articles/s41586-019-1261-9}, author = {Engelhard, Ben and Finkelstein, Joel and Cox, Julia and Fleming, Weston and Jang, Hee Jae and Ornelas, Sharon and Koay, Sue Ann and Thiberge, Stephan Y. and Daw, Nathaniel D. and Tank, David W. and Witten, Ilana B.} } @article {67283, title = {An Accumulation-of-Evidence Task Using Visual Pulses for Mice Navigating in Virtual Reality}, journal = {Frontiers in Behavioral Neuroscience}, volume = {12}, year = {2018}, month = {Jun-03-2018}, abstract = {

The gradual accumulation of sensory evidence is a crucial component of perceptual decision making, but its neural mechanisms are still poorly understood. Given the wide availability of genetic and optical tools for mice, they can be useful model organisms for the study of these phenomena; however, behavioral tools are largely lacking. Here, we describe a new evidence-accumulation task for head-fixed mice navigating in a virtual reality (VR) environment. As they navigate down the stem of a virtual T-maze, they see brief pulses of visual evidence on either side, and retrieve a reward on the arm with the highest number of pulses. The pulses occur randomly with Poisson statistics, yielding a diverse yet well-controlled stimulus set, making the data conducive to a variety of computational approaches. A large number of mice of different genotypes were able to learn and consistently perform the task, at levels similar to rats in analogous tasks. They are sensitive to side differences of a single pulse, and their memory of the cues is stable over time. Moreover, using non-parametric as well as modeling approaches, we show that the mice indeed accumulate evidence: they use multiple pulses of evidence from throughout the cue region of the maze to make their decision, albeit with a small overweighting of earlier cues, and their performance is affected by the magnitude but not the duration of evidence. Additionally, analysis of the mice{\textquoteright}s running patterns revealed that trajectories are fairly stereotyped yet modulated by the amount of sensory evidence, suggesting that the navigational component of this task may provide a continuous readout correlated to the underlying cognitive variables. Our task, which can be readily integrated with state-of-the-art techniques, is thus a valuable tool to study the circuit mechanisms and dynamics underlying perceptual decision making, particularly under more complex behavioral contexts.

}, doi = {10.3389/fnbeh.2018.00036}, url = {http://journal.frontiersin.org/article/10.3389/fnbeh.2018.00036/full}, author = {Pinto, Lucas and Koay, Sue A. and Engelhard, Ben and Yoon, Alice M. and Deverett, Ben and Thiberge, Stephan Y. and Witten, Ilana B. and Tank, David W. and Brody, Carlos D.} } @article {67288, title = {Specialized and spatially organized coding of sensory, motor, and cognitive variables in midbrain dopamine neurons}, journal = {bioRxiv}, year = {2018}, month = {10/2018}, abstract = {

There is increased appreciation that dopamine (DA) neurons in the midbrain respond not only to reward 1,2 and reward-predicting cues 1,3,4, but also to other variables such as distance to reward 5, movements 6{\textendash}11 and behavioral choices 12{\textendash}15. Based on these findings, a major open question is how the responses to these diverse variables are organized across the population of DA neurons. In other words, do individual DA neurons multiplex multiple variables, or are subsets of neurons specialized in encoding specific behavioral variables? The reason that this fundamental question has been difficult to resolve is that recordings from large populations of individual DA neurons have not been performed in a behavioral task with sufficient complexity to examine these diverse variables simultaneously. To address this gap, we used 2-photon calcium imaging through an implanted lens to record activity of \>300 midbrain DA neurons in the VTA during a complex decision-making task. As mice navigated in a virtual reality (VR) environment, DA neurons encoded an array of sensory, motor, and cognitive variables. These responses were functionally clustered, such that subpopulations of neurons transmitted information about a subset of behavioral variables, in addition to encoding reward. These functional clusters were spatially organized, such that neighboring neurons were more likely to be part of the same cluster. Taken together with the topography between DA neurons and their projections, this specialization and anatomical organization may aid downstream circuits in correctly interpreting the wide range of signals transmitted by DA neurons.

}, doi = {10.1101/456194}, url = {https://www.biorxiv.org/content/early/2018/10/29/456194}, author = {Engelhard, Ben and Finkelstein, Joel and Cox, Julia and Fleming, Weston and Jang, Hee Jae and Ornelas, Sharon and Koay, Sue Ann and Thiberge, Stephan and Daw, Nathaniel and Tank, David W. and Witten, Ilana B.} }