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- Rehn, MartinKTH,Numerisk analys och datalogi, NADA (author)
Sequence memory with dynamical synapses
- Article/chapterEnglish2004
Publisher, publication year, extent ...
- Elsevier BV,2004
- printrdacarrier
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- LIBRIS-ID:oai:DiVA.org:kth-6307
- https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-6307URI
- https://doi.org/10.1016/j.neucom.2004.01.055DOI
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- Language:English
- Summary in:English
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Notes
- QC 20100916. 12th Annual Computational Neuroscience Meeting (CSN 03). Alicante, SPAIN. JUL 05-09, 2003
- 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.
Subject headings and genre
- NATURVETENSKAP Data- och informationsvetenskap Datavetenskap hsv//swe
- NATURAL SCIENCES Computer and Information Sciences Computer Sciences hsv//eng
- sequence learning
- free recall
- dynamical synapses
- synaptic depression
- attractor memory
- Computer science
- Datalogi
Added entries (persons, corporate bodies, meetings, titles ...)
- Lansner, AndersKTH,Numerisk analys och datalogi, NADA(Swepub:kth)u12s8cr8 (author)
- KTHNumerisk analys och datalogi, NADA (creator_code:org_t)
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- In:Neurocomputing: Elsevier BV58-60, s. 271-2780925-23121872-8286
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