Model-based spatial navigation in the hippocampus-ventral striatum circuit: A computational analysis.

ABSTRACT: While the neurobiology of simple and habitual choices is relatively well known, our current understanding of goal-directed choices and planning in the brain is still limited. Theoretical work suggests that goal-directed computations can be productively associated to model-based (reinforcement learning) computations, yet a detailed mapping between computational processes and neuronal circuits remains to be fully established. Here we report a computational analysis that aligns Bayesian nonparametrics and model-based reinforcement learning (MB-RL) to the functioning of the hippocampus (HC) and the ventral striatum (vStr)-a neuronal circuit that increasingly recognized to be an appropriate model system to understand goal-directed (spatial) decisions and planning mechanisms in the brain. We tes

SUBMITTER: Stoianov IP 

PROVIDER: S-EPMC6160242 | biostudies-literature | 2018 Sep

REPOSITORIES: biostudies-literature