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- Fiebig, FlorianKTH,Beräkningsvetenskap och beräkningsteknik (CST),Computational Brain Science (author)
Active Memory Processing on Multiple Time-scales in Simulated Cortical Networks with Hebbian Plasticity
- BookEnglish2018
Publisher, publication year, extent ...
- Stockholm, Sweden :KTH Royal Institute of Technology,2018
- 125 s.
- electronicrdacarrier
Numbers
- LIBRIS-ID:oai:DiVA.org:kth-239041
- ISBN:9789178730308
- https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-239041URI
Supplementary language notes
- Language:English
- Summary in:English
Part of subdatabase
- SwePubSwePub
Classification
Series
- TRITA-EECS-AVL ;2018:91
Notes
- Joint Doctoral Program in Neuroinformatics between KTH Royal Institute of Technology, Sweden and University of Edinburgh (UoE), UK, see https://www.kth.se/eurospinQC 20181115
- This thesis examines declarative memory function, and its underlying neural activity and mechanisms in simulated cortical networks. The included simulation models utilize and synthesize proposed universal computational principles of the brain, such as the modularity of cortical circuit organization, attractor network theory, and Hebbian synaptic plasticity, along with selected biophysical detail from the involved brain areas to implement functional models of known cortical memory systems. The models hypothesize relations between neural activity, brain area interactions, and cognitive memory functions such as sleep-dependent memory consolidation, or specific working memory tasks. In particular, this work addresses the acutely relevant research question if recently described fast forms of Hebbian synaptic plasticity are a possible mechanism behind working memory. The proposed models specifically challenge the “persistent activity hypothesis of working memory”, an established but increasingly questioned paradigm in working memory theory. The proposed alternative is a novel synaptic working memory model that is arguably more defensible than the existing paradigm as it can better explain memory function and important aspects of working memory-linked activity (such as the role of long-term memory in working memory tasks), while simultaneously matching experimental data from behavioral memory testing and important evidence from electrode recordings.
Subject headings and genre
- NATURVETENSKAP Data- och informationsvetenskap Bioinformatik hsv//swe
- NATURAL SCIENCES Computer and Information Sciences Bioinformatics hsv//eng
- Working memory
- Long-term memory
- consolidation
- spiking
- neural network
- BCPNN
- cortical microcircuit
- Tillämpad matematik och beräkningsmatematik
- Applied and Computational Mathematics
- Biological Physics
- Biologisk fysik
Added entries (persons, corporate bodies, meetings, titles ...)
- Lansner, Anders,ProfessorKTH,Beräkningsvetenskap och beräkningsteknik (CST),Stockholm University(Swepub:kth)u12s8cr8 (thesis advisor)
- Vogels, Tim,Associate professorUniversity of Oxford, UK (opponent)
- KTHBeräkningsvetenskap och beräkningsteknik (CST) (creator_code:org_t)
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