| Literature DB >> 34026949 |
Alireza Soltani1, John D Murray2, Hyojung Seo2, Daeyeol Lee3.
Abstract
We live in a world that changes on many timescales. To learn and make decisions appropriately, the human brain has evolved to integrate various types of information, such as sensory evidence and reward feedback, on multiple timescales. This is reflected in cortical hierarchies of timescales consisting of heterogeneous neuronal activities and expression of genes related to neurotransmitters critical for learning. We review the recent findings on how timescales of sensory and reward integration are affected by the temporal properties of sensory and reward signals in the environment. Despite existing evidence linking behavioral and neuronal timescales, future studies must examine how neural computations at multiple timescales are adjusted and combined to influence behavior flexibly.Entities:
Keywords: Working memory; cortical hierarchy; decision making; learning rate; recurrent neural network; reinforcement learning; volatility
Year: 2021 PMID: 34026949 PMCID: PMC8136243 DOI: 10.1016/j.cobeha.2021.03.003
Source DB: PubMed Journal: Curr Opin Behav Sci ISSN: 2352-1546