Non-stationary recurrent neural networks for reconstructing computational dynamics of rule learning
Max Ingo Thurm, Georgia Koppe, Eleonora Russo, Florian Bähner, Daniel Durstewitz · COSYNE 2023
Fri, Mar 10, 2023
Updating behavioral policies in novel environments or upon shifting action-outcome contingencies is essential for survival. A number of studies have identified the medial prefrontal cortex (mPFC) as a key player in cognitive flexibility, rule learning and uncertainty detection. Animals learning a new behavioral paradigm, or switching between rules, show abrupt changes in their performance, accompanied by sharp transitions in neuronal population dynamics. However, the precise mechanisms regulating behavioral flexibility remain unclear. Here we aim to extract the computational mechanisms behind