Sequence memory with dynamical synapses

• 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.

Ämnesord

NATURVETENSKAP  -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)

NATURAL SCIENCES  -- Computer and Information Sciences -- Computer Sciences (hsv//eng)

Nyckelord

sequence learning

free recall

dynamical synapses

synaptic depression

attractor memory

Computer science

Datalogi

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