| Synaptic information transfer in computer models of neocortical columns. | |
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MedLine Citation:
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PMID: 20556639 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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Understanding the direction and quantity of information flowing in neuronal networks is a fundamental problem in neuroscience. Brains and neuronal networks must at the same time store information about the world and react to information in the world. We sought to measure how the activity of the network alters information flow from inputs to output patterns. Using neocortical column neuronal network simulations, we demonstrated that networks with greater internal connectivity reduced input/output correlations from excitatory synapses and decreased negative correlations from inhibitory synapses, measured by Kendall's τ correlation. Both of these changes were associated with reduction in information flow, measured by normalized transfer entropy (nTE). Information handling by the network reflected the degree of internal connectivity. With no internal connectivity, the feedforward network transformed inputs through nonlinear summation and thresholding. With greater connectivity strength, the recurrent network translated activity and information due to contribution of activity from intrinsic network dynamics. This dynamic contribution amounts to added information drawn from that stored in the network. At still higher internal synaptic strength, the network corrupted the external information, producing a state where little external information came through. The association of increased information retrieved from the network with increased gamma power supports the notion of gamma oscillations playing a role in information processing. |
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Authors:
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Samuel A Neymotin; Kimberle M Jacobs; André A Fenton; William W Lytton |
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Publication Detail:
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Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, U.S. Gov't, Non-P.H.S. Date: 2010-06-17 |
Journal Detail:
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Title: Journal of computational neuroscience Volume: 30 ISSN: 1573-6873 ISO Abbreviation: J Comput Neurosci Publication Date: 2011 Feb |
Date Detail:
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Created Date: 2011-02-17 Completed Date: 2011-06-03 Revised Date: 2012-02-02 |
Medline Journal Info:
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Nlm Unique ID: 9439510 Medline TA: J Comput Neurosci Country: United States |
Other Details:
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Languages: eng Pagination: 69-84 Citation Subset: IM |
Affiliation:
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Biomedical Engineering, SUNY Downstate Medical Center, 450 Clarkson Avenue, P.O. Box 31, Brooklyn, NY 11203-2098, USA. samn@neurosim.downstate.edu |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Action Potentials
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physiology Animals Brain / anatomy & histology, physiology Computer Simulation* Entropy Humans Information Theory* Models, Neurological* Neocortex / physiology* Nerve Net / cytology, physiology Neurons / classification, physiology* Spectrum Analysis Synapses / physiology* Time Factors alpha-Amino-3-hydroxy-5-methyl-4-isoxazolepropionic Acid / metabolism gamma-Aminobutyric Acid / metabolism |
| Grant Support | |
ID/Acronym/Agency:
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MH057068/MH/NIMH NIH HHS; MH082417/MH/NIMH NIH HHS; R01 MH057068-10/MH/NIMH NIH HHS; R01 MH084038-03/MH/NIMH NIH HHS; R21 MH082417-01A1/MH/NIMH NIH HHS |
| Chemical | |
Reg. No./Substance:
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56-12-2/gamma-Aminobutyric Acid; 77521-29-0/alpha-Amino-3-hydroxy-5-methyl-4-isoxazolepropionic Acid |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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