Shanglin Zhou

This study shows that neuromodulation of short-term synaptic plasticity scales neural dynamics and motor outputs in time and space using RNNs trained to produce handwritten digits.

The paper identifies stable sequential dynamics in the medial prefrontal cortex of rats during time estimation tasks and links these dynamics to trial interval adjustments and timing errors.

This study investigates whether working memory and timing share neural mechanisms by using psychophysical tasks and RNN simulations, finding that cue-specific neural sequences multiplex both functions.

This paper trains RNNs on timing tasks to investigate how neural dynamics encode time with different computational tradeoffs and generalization capabilities.