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Cited by 9Neural dynamics and brain functionMemory and Neural MechanismsNeuroscience and Neuropharmacology Research

Evidence of multistability in a realistic computer simulation of hippocampus subfield CA1

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Siekmeier, Peter J.·2009·Behavioural Brain Research
DOI 10.1016/j.bbr.2009.01.021PMC PMC2768379
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Abstract

The manner in which hippocampus processes neural signals is thought to be central to the memory encoding process. A theoretically oriented literature has suggested that this is carried out via "attractors" or distinctive spatio-temporal patterns of activity. However, these ideas have not been thoroughly investigated using computational models featuring both realistic single-cell physiology and detailed cell-to-cell connectivity. Here we present a 452 cell simulation based on Traub et al.'s pyramidal cell [Traub RD, Jefferys JG, Miles R, Whittington MA, Toth K. A branching dendritic model of a rodent CA3 pyramidal neurone. J Physiol (Lond) 1994;481:79-95] and interneuron [Traub RD, Miles R, Pyramidal cell-to-inhibitory cell spike transduction explicable by active dendritic conductances in inhibitory cell. J Comput Neurosci 1995;2:291-8] models, incorporating patterns of synaptic connectivity based on an extensive review of the neuroanatomic literature. When stimulated with a one second physiologically realistic input, our simulated tissue shows the ability to hold activity on-line for several seconds; furthermore, its spiking activity, as measured by frequency and interspike interval (ISI) distributions, resembles that of in vivo hippocampus. An interesting emergent property of the system is its tendency to transition from stable state to stable state, a behavior consistent with recent experimental findings [Sasaki T, Matsuki N, Ikegaya Y. Metastability of active CA3 networks. J Neurosci 2007;27:517-28]. Inspection of spike trains and simulated blockade of K(AHP) channels suggest that this is mediated by spike frequency adaptation. This finding, in conjunction with studies showing that apamin, a K(AHP) channel blocker, enhances the memory consolidation process in laboratory animals, suggests the formation of stable attractor states is central to the process by which memories are encoded. Ways that this methodology could shed light on the etiology of mental illness, such as schizophrenia, are discussed.

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  • Results from the strictly data-driven, full-scale CA1 model are consistent with earlier models that demonstrated the basic ingredients capable of producing emergent network oscillations at a range of frequencies in microcircuits and small networks.

    “Our results from the strictly data-driven, full-scale CA1 model are consistent with those of earlier models that elegantly demonstrated the basic ingredients capable of producing emergent network oscillations at a range of frequencies in microcircuits and small networks”

    From Interneuronal mechanisms of hippocampal theta oscillations in a full-scale model of the rodent CA1 circuit (2016) · cites this paper as Siekmeier, 2009

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Authors
Siekmeier, P. J.
Affiliations
Harvard University (US)
Corresponding author
Siekmeier, Peter J.
ORCID
Siekmeier, Peter J.
Venue
Behavioural Brain Research
Publisher
Elsevier BV
Published
2009-06
Volume
200
Issue
1
Pages
220-231
ISSN
0166-4328 (ISSN-L)
DOI
10.1016/j.bbr.2009.01.021
PMC
PMC2768379
OpenAlex
W2159809973
Cited by
9
References
98
Citations by year
2022: 1 · 2021: 1 · 2017: 2 · 2016: 1 · 2013: 1 · 2012: 2
FWCI
0.49
Type
journal article
Language
en
Open access
Licence
www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations
  • Behavioural Brain Research (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • National Alliance for Research on Schizophrenia and Depression
  • National Institute of Mental Health (P50MH060450, K08MH072771)
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
hippocampal CA1, multistability, metastability, attractor states, memory encoding, spike frequency adaptation, apamin, pyramidal neurons, interneurons, synaptic connectivity, interspike interval distribution, schizophrenia
MeSH terms
Action Potentials, Animals, Axons, Calcium-Binding Proteins, Computer Simulation, Hippocampus, Models, Neurological, Nerve Net, Neural Pathways, Neurons, Synapses, Neural Networks, Computer

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