Reward changes the use and structure of predictive spatial maps
Reward-related changes in hippocampal place-cell activity may reflect either different use of an existing spatial map or plasticity that reshapes the map. We separated these contributions in a two-pathway model: a recurrent network learned to predict sensory input and developed a spatial representation, while a reinforcement-learning controller combined this representation with an explicit goal…
We haven't written up this one. bioRxiv has the full story — the link below goes straight to it.
