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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής

Κύριοι συγγραφείς:	Victoria JH Ritvo, Alex Nguyen, Nicholas B Turk-Browne, Kenneth A Norman
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	eLife Sciences Publications Ltd 2024-09-01
Σειρά:	eLife
Θέματα:	neural networks unsupervised learning memory computational modeling representational change fMRI
Διαθέσιμο Online:	https://elifesciences.org/articles/88608
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