A non-Hebbian code for episodic memory DOI Creative Commons
Rich Pang, Stefano Recanatesi

Science Advances, Journal Year: 2025, Volume and Issue: 11(8)

Published: Feb. 21, 2025

Hebbian plasticity has long dominated neurobiological models of memory formation. Yet, rules operating on one-shot episodic timescales rarely depend both pre- and postsynaptic spiking, challenging theory in this crucial regime. Here, we present an model governed by a simpler rule depending only presynaptic activity. We show that rule, capitalizing high-dimensional neural activity with restricted transitions, naturally stores episodes as paths through complex state spaces like those underlying world model. The resulting traces, which term path vectors, are highly expressive decodable odor-tracking algorithm. vectors robust alternatives to support sequential associative recall, along policy learning, shed light specific hippocampal rules. Thus, non-Hebbian is sufficient for flexible learning well-suited encode policies

Language: Английский

A non-Hebbian code for episodic memory DOI Creative Commons
Rich Pang, Stefano Recanatesi

Science Advances, Journal Year: 2025, Volume and Issue: 11(8)

Published: Feb. 21, 2025

Hebbian plasticity has long dominated neurobiological models of memory formation. Yet, rules operating on one-shot episodic timescales rarely depend both pre- and postsynaptic spiking, challenging theory in this crucial regime. Here, we present an model governed by a simpler rule depending only presynaptic activity. We show that rule, capitalizing high-dimensional neural activity with restricted transitions, naturally stores episodes as paths through complex state spaces like those underlying world model. The resulting traces, which term path vectors, are highly expressive decodable odor-tracking algorithm. vectors robust alternatives to support sequential associative recall, along policy learning, shed light specific hippocampal rules. Thus, non-Hebbian is sufficient for flexible learning well-suited encode policies

Language: Английский

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