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Sequence memory wit...
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Rehn, MartinKTH,Numerisk analys och datalogi, NADA
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Sequence memory with dynamical synapses
- Article/chapterEnglish2004
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Elsevier BV,2004
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LIBRIS-ID:oai:DiVA.org:kth-6307
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https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-6307URI
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https://doi.org/10.1016/j.neucom.2004.01.055DOI
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Language:English
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Summary in:English
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Subject category:art swepub-publicationtype
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QC 20100916. 12th Annual Computational Neuroscience Meeting (CSN 03). Alicante, SPAIN. JUL 05-09, 2003
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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.
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Lansner, AndersKTH,Numerisk analys och datalogi, NADA(Swepub:kth)u12s8cr8
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KTHNumerisk analys och datalogi, NADA
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In:Neurocomputing: Elsevier BV58-60, s. 271-2780925-23121872-8286
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