A neural network model of differentiation and integration of competing memories

What determines when neural representations of memories move together (integrate) or apart (differentiate)? Classic supervised learning models posit that, when two stimuli predict similar outcomes, their representations should integrate. However, these models have recently been challenged by studies...

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Bibliografski detalji

Glavni autori:	Victoria JH Ritvo, Alex Nguyen, Nicholas B Turk-Browne, Kenneth A Norman
Format:	Artigo
Jezik:	Inglês
Izdano:	eLife Sciences Publications Ltd 2024-09-01
Serija:	eLife
Teme:	neural networks unsupervised learning memory computational modeling representational change fMRI
Online pristup:	https://elifesciences.org/articles/88608
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