On the boundary conditions of avoidance memory reconsolidation: an attractor network perspective

DOI10.1016/j.neunet.2020.04.013zbMath1469.92024OpenAlexW3017334080WikidataQ93230537 ScholiaQ93230537MaRDI QIDQ1982405

Adriano B. L. Tort, Rodrigo M. M. Santiago

Publication date: 8 September 2021

Published in: Neural Networks (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.neunet.2020.04.013

zbMATH Keywords

extinctionboundary conditionsynaptic plasticityattractor networkreconsolidationinhibitory avoidance

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Memory and learning in psychology (91E40)

Uses Software

• SciPy

Cites Work

• Neural networks and physical systems with emergent collective computational abilities.
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