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Topic: context-dependent trajectories

ePoster
1 ePoster

In Artificial Intelligence and Biology

ePoster · Computational Neuroscience

Effect of experience on context-dependent learning in recurrent networks

John Bowler, Hyunwoo Lee, James Heys · Bernstein Conference 2024

The entorhinal cortex (EC) sits at a critical junction where sensory input and higher-level processing converge and is necessary for learning interval timing and relating durations in distinct temporal contexts[1]. “Time cells” in the medial subdivision of the EC (MEC) tile task durations during a temporal variant of the Delay Non-match to Sample (tDNMS) task in which animals must detect non-matching durations. Over training, subpopulations of MEC time cells become context-dependent showing differential activity across different trial types. While attractor models of EC activity predict experi