Matthijs Pals

Attractor dynamics underlie sequence working memory in data-constrained recurrent neural networks

Sequences of stimuli can be maintained in working memory by encoding each item, together with its position, as a distinct pattern of neural population activity. Competing hypotheses about the underlying dynamics have been proposed: patterns of activity might be supported either by stable attractor states that persist o...