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Multi-Timescale Memory Dynamics Extend Task Repertoire in a Reinforcement Learning Network With Attention-Gated Memory

The interplay of reinforcement learning and memory is at the core of several recent neural network models, such as the Attention-Gated MEmory Tagging (AuGMEnT) model. While successful at various animal learning tasks, we find that the AuGMEnT network is unable to cope with some hierarchical tasks, w...

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Detalles Bibliográficos
Autores principales: Martinolli, Marco, Gerstner, Wulfram, Gilra, Aditya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6055065/
https://www.ncbi.nlm.nih.gov/pubmed/30061819
http://dx.doi.org/10.3389/fncom.2018.00050