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Nested theta to gamma oscillations and precise spatiotemporal firing during memory retrieval in a simulated attractor network
KTH, School of Computer Science and Communication (CSC), Computational Biology, CB. Stockholm University. (NADA)ORCID iD: 0000-0001-6553-823X
KTH, School of Computer Science and Communication (CSC), Computational Biology, CB. Stockholm University. (NADA)
KTH, School of Computer Science and Communication (CSC), Computational Biology, CB. Stockholm University. (NADA)
2013 (English)In: Brain Research, ISSN 0006-8993, E-ISSN 1872-6240, Vol. 1536, no SI, 68-87 p.Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
2013. Vol. 1536, no SI, 68-87 p.
Keyword [en]
Attractor model, Cortex, Memory, Neuron firing pattern, Oscillation, Synchrony
National Category
Bioinformatics (Computational Biology) Other Computer and Information Science
URN: urn:nbn:se:kth:diva-132369DOI: 10.1016/j.brainres.2013.08.002ISI: 000327830100007PubMedID: 23939226ScopusID: 2-s2.0-84887186957OAI: diva2:659640
10th International Workshop on Neural Coding (NC), Prague, Czech Republic, Sep 02-07, 2012

QC 20131115

Available from: 2013-10-26 Created: 2013-10-26 Last updated: 2014-01-13Bibliographically approved

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Herman, Pawel AndrzejLundqvist, MikaelLansner, Anders
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