|
Brain-wide activity in a decision based on vision and value| old_uid | 17513 |
|---|
| title | Brain-wide activity in a decision based on vision and value |
|---|
| start_date | 2019/04/15 |
|---|
| schedule | 11h-12h |
|---|
| online | no |
|---|
| location_info | salle 235B |
|---|
| summary | Behavior arises from neuronal activity patterns that are potentially distributed across multiple brain regions, representing computations that may be hidden, i.e. not directly related to motor outputs. Revealing its basis, therefore, requires neuron-level recordings across the brain, causal manipulations, and models that capture the resulting data. We are following this approach to understand the behavior of mice that report decisions based on vision and value. While mice performed this task, we inactivated individual areas of cortex, we modulated the activity of dopaminergic neurons, and we recorded from over 30,000 individual neurons. By using simple models we were able to describe the neural activity in terms of hidden computations, and predict the effects of inactivations. The results point to distributed representations of vision, decision, and action, and to simple neural computations that estimate value and mediate learning. |
|---|
| responsibles | Mamassian |
|---|
| |
|