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Sökning: id:"swepub:oai:DiVA.org:kth-132369" > Nested theta to gam...

Nested theta to gamma oscillations and precise spatiotemporal firing during memory retrieval in a simulated attractor network

Herman, Pawel Andrzej (författare)
Stockholms universitet,KTH,Beräkningsbiologi, CB,Stockholm University,NADA,Numerisk analys och datalogi (NADA),Royal Institute of Technology, Sweden
Lundqvist, Mikael (författare)
Stockholms universitet,KTH,Beräkningsbiologi, CB,Stockholm University,NADA,Numerisk analys och datalogi (NADA),Royal Institute of Technology, Sweden
Lansner, Anders (författare)
Stockholms universitet,KTH,Beräkningsbiologi, CB,Stockholm University,NADA,Numerisk analys och datalogi (NADA),Royal Institute of Technology, Sweden
 (creator_code:org_t)
Elsevier BV, 2013
2013
Engelska.
Ingår i: Brain Research. - : Elsevier BV. - 0006-8993 .- 1872-6240. ; 1536:SI, s. 68-87
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
Stäng  
  • Nested oscillations, where the phase of the underlying slow rhythm modulates the power of faster oscillations, have recently attracted considerable research attention as the increased phase-coupling of cross-frequency oscillations has been shown to relate to memory processes. Here we investigate the hypothesis that reactivations of memory patterns, induced by either external stimuli or internal dynamics, are manifested as distributed cell assemblies oscillating at gamma-like frequencies with life-times on a theta scale. For this purpose, we study the spatiotemporal oscillatory dynamics of a previously developed meso-scale attractor network model as a correlate of its memory function. The focus is on a hierarchical nested organization of neural oscillations in delta/theta (2-5Hz) and gamma frequency bands (25-35Hz), and in some conditions even in lower alpha band (8-12Hz), which emerge in the synthesized field potentials during attractor memory retrieval. We also examine spiking behavior of the network in close relation to oscillations. Despite highly irregular firing during memory retrieval and random connectivity within each cell assembly, we observe precise spatiotemporal firing patterns that repeat across memory activations at a rate higher than expected from random firing. In contrast to earlier studies aimed at modeling neural oscillations, our attractor memory network allows us to elaborate on the functional context of emerging rhythms and discuss their relevance. We provide support for the hypothesis that the dynamics of coherent delta/theta oscillations constitute an important aspect of the formation and replay of neuronal assemblies. This article is part of a Special Issue entitled Neural Coding 2012.

Ämnesord

NATURVETENSKAP  -- Data- och informationsvetenskap -- Bioinformatik (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Bioinformatics (hsv//eng)
NATURVETENSKAP  -- Data- och informationsvetenskap -- Annan data- och informationsvetenskap (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Other Computer and Information Science (hsv//eng)
NATURVETENSKAP  -- Biologi -- Bioinformatik och systembiologi (hsv//swe)
NATURAL SCIENCES  -- Biological Sciences -- Bioinformatics and Systems Biology (hsv//eng)

Nyckelord

Attractor model
Cortex
Memory
Neuron firing pattern
Oscillation
Synchrony

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