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The ground state of cortical feed-forward networks

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Title: The ground state of cortical feed-forward networks
Authors: Tetzlaff, Tom tom@chaos.gwdg.de, Geisel, Theo1 geisel@chaos.gwdg.de, Diesmann, Markus1 diesmann@chaos.gwdg.de
Source: Neurocomputing. Jun2002, Vol. 44-46, p673. 6p.
Subjects: Biological neural networks, Neurons
Abstract: The occurrence of spatio-temporal spike patterns in the cortex is explained by models of divergent/convergent feed-forward subnetworks—synfire chains. Their excited mode is characterized by spike volleys propagating from one neuron group to the next. We demonstrate the existence of an upper bound for group size: above a critical value synchronous activity develops spontaneously from random fluctuations. Stability of the ground state, in which neurons independently fire at low rates, is lost. Comparison of an analytic rate model with network simulations shows that the transition from the asynchronous into the synchronous regime is driven by an instability in rate dynamics. [Copyright &y& Elsevier]
Copyright of Neurocomputing is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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Header DbId: egs
DbLabel: Engineering Source
An: 7826531
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: The occurrence of spatio-temporal spike patterns in the cortex is explained by models of divergent/convergent feed-forward subnetworks—synfire chains. Their excited mode is characterized by spike volleys propagating from one neuron group to the next. We demonstrate the existence of an upper bound for group size: above a critical value synchronous activity develops spontaneously from random fluctuations. Stability of the ground state, in which neurons independently fire at low rates, is lost. Comparison of an analytic rate model with network simulations shows that the transition from the asynchronous into the synchronous regime is driven by an instability in rate dynamics. [Copyright &y& Elsevier]
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  Data: <i>Copyright of Neurocomputing is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – Type: doi
        Value: 10.1016/S0925-2312(02)00456-3
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      – Code: eng
        Text: English
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      – TitleFull: The ground state of cortical feed-forward networks
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          Name:
            NameFull: Tetzlaff, Tom
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            NameFull: Geisel, Theo
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            NameFull: Diesmann, Markus
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            – D: 01
              M: 06
              Text: Jun2002
              Type: published
              Y: 2002
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              Value: 44-46
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