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Cited by 47Neural dynamics and brain functionMemory and Neural MechanismsNeuroscience and Neuropharmacology Research

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

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Herman, Pawel Andrzej, Lundqvist, Mikael, Lansner, Anders·2013·Brain Research
DOI 10.1016/j.brainres.2013.08.002
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Abstract

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.

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  • Theta is a slow rhythm in which faster rhythms such as gamma can nest and aid long-range communication.

    “However, theta is well known to be a slow rhythm in which faster rhythms such as gamma, can nest (60–62) and aid long-range communication (63).”

    From Layer and rhythm specificity for predictive routing (2020) · cites this paper as [61]

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Authors
Herman, P. A., Lundqvist, M., & Lansner, A.
Affiliations
Stockholm University (SE)
Corresponding author
Herman, Pawel Andrzej
ORCID
Venue
Brain Research
Publisher
Elsevier BV
Published
2013-11
Volume
1536
Pages
68-87
ISSN
0006-8993 (ISSN-L)
DOI
10.1016/j.brainres.2013.08.002
OpenAlex
W1971600202
Cited by
47
References
109
Citations by year
2026: 4 · 2025: 1 · 2024: 7 · 2023: 6 · 2022: 6 · 2021: 6 · 2020: 3 · 2019: 1 · 2018: 3 · 2017: 3 · 2016: 1 · 2015: 2 · 2014: 3 · 2013: 1
FWCI
1.27
Type
journal article
Language
en
Open access
Licence
Locations
  • Brain Research (publishedVersion, cc-by-nc-sa)
  • PubMed (publishedVersion)
Funders
  • Swedish Science Council (Vetenskapsrådet (VR-621-2009-3807)
  • VINNOVA (Swedish Governmental Agency for Innovation Systems)
  • VR through the Stockholm Brain Institute
  • European Union (BrainScales (EU-FP7-FET-269921)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
  • Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
Keywords
cross-frequency coupling, theta oscillations, gamma oscillations, attractor networks, memory retrieval, memory reactivation, cell assemblies, field potentials, alpha oscillations, neural oscillations
MeSH terms
Action Potentials, Models, Neurological, Nerve Net, Neurons, Mental Recall, Theta Rhythm, Neural Networks, Computer, Brain Waves

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