Critical Dynamics Mediate Learning of New Distributed Memory Representations in Neuronal Networks
Abstract
We explore the possible role of network dynamics near a critical point in the storage of new information in silico and in vivo, and show that learning and memory may rely on neuronal network features mediated by the vicinity of criticality. Using a mean-field, attractor-based model, we show that new information can be consolidated into attractors through state-based learning in a dynamical regime associated with maximal susceptibility at the...
Paper Details
Title
Critical Dynamics Mediate Learning of New Distributed Memory Representations in Neuronal Networks
Published Date
Oct 26, 2019
Journal
Volume
21
Issue
11
Pages
1043 - 1043
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