Computational Investigations of Learning and Synchronization in Cognitive Control.

ABSTRACT: Complex cognition requires binding together of stimulus, action, and other features, across different time scales. Several implementations of such binding have been proposed in the literature, most prominently synaptic binding (learning) and synchronization. Biologically plausible accounts of how these different types of binding interact in the human brain are still lacking. To this end, we adopt a computational approach to investigate the impact of learning and synchronization on both behavioral (reaction time, error rate) and neural (θ power) measures. We train four models varying in their ability to learn and synchronize for an extended period of time on three seminal action control paradigms varying in difficulty. Learning, but not synchronization, proved essential for behavioral impro

SUBMITTER: Huycke P 

PROVIDER: S-EPMC9524294 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature