Topic: action switching

In reversal learning tasks, large-scale circuits in multiple brain areas are involved in encoding multiple decision variables, such as trial outcomes, action values and action switching. It is unknown how spatiotemporal patterns of cortical encoding differentially encode these variables and whether the encoding depends on the level of engagement in the task. Here, we used a combination of large-scale imaging techniques and computational methods to investigate the representation of reward-related decision variables at the widefield and single-neuron levels. Widefield imaging and unsupervised an

A fundamental problem in neuroscience is how neuronal activity in the brain generates organized and stable behaviors at multiple timescales. Recent research in many model organisms, e.g. in monkeys, led to the observations that the neuronal encoding of individual actions is achieved by large neuronal populations but often lies on low-dimensional manifolds. However, it is unclear if such manifolds extend beyond the single-action level into coordinating entire action sequences or fine-tuned movements. In order to address these questions, we established a whole brain single-cell resolution record