Trained recurrent neural networks develop phase-locked limit cycles in a working memory task.

ABSTRACT: Neural oscillations are ubiquitously observed in many brain areas. One proposed functional role of these oscillations is that they serve as an internal clock, or 'frame of reference'. Information can be encoded by the timing of neural activity relative to the phase of such oscillations. In line with this hypothesis, there have been multiple empirical observations of such phase codes in the brain. Here we ask: What kind of neural dynamics support phase coding of information with neural oscillations? We tackled this question by analyzing recurrent neural networks (RNNs) that were trained on a working memory task. The networks were given access to an external reference oscillation and tasked to produce an oscillation, such that the phase difference between the reference and output oscillation

SUBMITTER: Pals M 

PROVIDER: S-EPMC10868787 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature