Sequence memory with dynamical synapses
2004 (English)In: Neurocomputing, ISSN 0925-2312, Vol. 58-60, 271-278 p.Article in journal (Refereed) Published
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.
Place, publisher, year, edition, pages
2004. Vol. 58-60, 271-278 p.
sequence learning, free recall, dynamical synapses, synaptic depression, attractor memory
IdentifiersURN: urn:nbn:se:kth:diva-6307DOI: 10.1016/j.neucom.2004.01.055ISI: 000222245900043ScopusID: 2-s2.0-2542437082OAI: oai:DiVA.org:kth-6307DiVA: diva2:10986
QC 20100916. 12th Annual Computational Neuroscience Meeting (CSN 03). Alicante, SPAIN. JUL 05-09, 2003 2006-11-012006-11-012011-12-21Bibliographically approved