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A Spiking Working Memory Model Based on Hebbian Short-Term Potentiation
KTH, Skolan för datavetenskap och kommunikation (CSC), Beräkningsvetenskap och beräkningsteknik (CST). Edinburgh University, UK.ORCID-id: 0000-0002-7314-8562
KTH, Skolan för datavetenskap och kommunikation (CSC), Beräkningsvetenskap och beräkningsteknik (CST). Stockholm University, Sweden.ORCID-id: 0000-0002-2358-7815
2017 (Engelska)Ingår i: Journal of Neuroscience, ISSN 0270-6474, Vol. 37, nr 1, s. 83-96Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

A dominant theory of working memory (WM), referred to as the persistent activity hypothesis, holds that recurrently connected neural networks, presumably located in the prefrontal cortex, encode and maintain WM memory items through sustained elevated activity. Reexamination of experimental data has shown that prefrontal cortex activity in single units during delay periods is much more variable than predicted by such a theory and associated computational models. Alternative models of WM maintenance based on synaptic plasticity, such as short-term nonassociative (non-Hebbian) synaptic facilitation, have been suggested but cannot account for encoding of novel associations. Here we test the hypothesis that a recently identified fast-expressing form of Hebbian synaptic plasticity (associative short-term potentiation) is a possible mechanism for WM encoding and maintenance. Our simulations using a spiking neural network model of cortex reproduce a range of cognitive memory effects in the classical multi-item WM task of encoding and immediate free recall of word lists. Memory reactivation in the model occurs in discrete oscillatory bursts rather than as sustained activity. We relate dynamic network activity as well as key synaptic characteristics to electrophysiological measurements. Our findings support the hypothesis that fast Hebbian short-term potentiation is a key WM mechanism.

Ort, förlag, år, upplaga, sidor
Society for Neuroscience , 2017. Vol. 37, nr 1, s. 83-96
Nyckelord [en]
Hebbian plasticity, primacy, recency, short-term potentiation, word list learning, working memory
Nationell ämneskategori
Neurovetenskaper
Identifikatorer
URN: urn:nbn:se:kth:diva-200399DOI: 10.1523/JNEUROSCI.1989-16.2017ISI: 000391143500008Scopus ID: 2-s2.0-85008951995OAI: oai:DiVA.org:kth-200399DiVA, id: diva2:1069109
Forskningsfinansiär
Vetenskapsrådet, VR-621-2009-3807VINNOVASwedish e‐Science Research Center
Anmärkning

QC 20170127

Tillgänglig från: 2017-01-27 Skapad: 2017-01-27 Senast uppdaterad: 2018-11-15Bibliografiskt granskad
Ingår i avhandling
1. Active Memory Processing on Multiple Time-scales in Simulated Cortical Networks with Hebbian Plasticity
Öppna denna publikation i ny flik eller fönster >>Active Memory Processing on Multiple Time-scales in Simulated Cortical Networks with Hebbian Plasticity
2018 (Engelska)Doktorsavhandling, sammanläggning (Övrigt vetenskapligt)
Abstract [en]

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.

Ort, förlag, år, upplaga, sidor
Stockholm, Sweden: KTH Royal Institute of Technology, 2018. s. 125
Serie
TRITA-EECS-AVL ; 2018:91
Nyckelord
Working memory, Long-term memory, consolidation, spiking, neural network, BCPNN, cortical microcircuit
Nationell ämneskategori
Bioinformatik (beräkningsbiologi)
Forskningsämne
Tillämpad matematik och beräkningsmatematik; Biologisk fysik
Identifikatorer
urn:nbn:se:kth:diva-239041 (URN)978-91-7873-030-8 (ISBN)
Disputation
2018-12-11, Kollegiesalen, Brinellvägen 9, Stockholm, 13:00 (Engelska)
Opponent
Handledare
Anmärkning

Joint Doctoral Program in Neuroinformatics between KTH Royal Institute of Technology, Sweden and University of Edinburgh (UoE), UK, see https://www.kth.se/eurospin

QC 20181115

Tillgänglig från: 2018-11-15 Skapad: 2018-11-15 Senast uppdaterad: 2018-11-16Bibliografiskt granskad

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Fiebig, FlorianLansner, Anders
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Totalt: 169 träffar
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