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Sequence memory with dynamical synapses
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DOI：10.1016/j.neucom.2004.01.055.png)
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We present an attractor model of cortical memory, capable of sequence learning. The network incorporates a dynamical synapse model and is trained using a Hebbian learning rule that operates by redistribution of synaptic efficacy. It performs sequential recall or unordered recall depending on parameters. The model reproduces data from free recall experiments in humans. Memory capacity scales with network size, storing sequences at about 0.18 bits per synapse. (C) 2004 Elsevier B.V. All rights reserved.
Keyword:
sequence learning
free recall
dynamical synapses
synaptic depression
attractor memory
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