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#artificial intelligence Open access Sep 2026

Oscillatory Phase Coding Emerges in Adaptive RNNs for Flexible Working Memory

This study reveals how OPC arises from network structures and task demands, offers insights into the implementation and computational mechanisms of OPC in biological systems, and inspires us to develop computational models for human-like cognitive functions.

Ke-Han Lu, Tian-Hao Chu, Aiersi Tuerhong et al. · 0 citations
Open access Sep 2026

Theta sweeps accelerate cognitive map learning by broadcasting information to unvisited regions

To support flexible behavior, animals need to learn map-like representations of environments from limited experiences, but the underlying neural mechanisms remain unclear. Here, we propose that theta sweeps, a prominent feature in the activities of grid and place cells during active movement, can broadcast acquired sen...

Tian-Hao Chu, Jin-Fan He, Zi-Long Ji et al. · 0 citations
Open access Oct 2026

Evidence Accumulation in Synaptic Efficacy: Activity-Silent Decision-Making with Short-Term Plasticity

A minimal neural circuit model is constructed, in which evidence accumulates in facilitated synaptic efficacy that progressively reshapes the circuit’s phase portrait, eventually driving the network state across the stability boundary and triggering a rapid transition to a choice state.

Tian-Hao Chu, Yu-Ling Wu, Chen-Hao Zhang et al. · 0 citations

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