Abstract:
:Waves have long been thought to be a fundamental mechanism for communicating information within a medium and are widely observed in biological systems. However, a quantitative analysis of biological waves is confounded by the variability and complexity of the response. This paper proposes a robust technique for extracting wave structure from experimental data by calculating "wave subspaces" from the KL decomposition of the data set. If a wave subspace contains a substantial portion of the data set energy during a particular time interval, one can deduce the structure of the wave and potentially isolate its information content. This paper uses the wave subspace technique to extract and compare wave structure in data from three different preparations of the turtle visual cortex. The paper demonstrates that wave subspace caricatures from the three cortical preparations have qualitative similarities. In the numerical model, where information about the underlying dynamics is available, wave subspace landmarks are related to activation and changes in behavior of other dynamic variables besides membrane potential.
journal_name
J Comput Neuroscijournal_title
Journal of computational neuroscienceauthors
Robbins KA,Senseman DMdoi
10.1023/B:JCNS.0000025689.01581.26subject
Has Abstractpub_date
2004-05-01 00:00:00pages
267-98issue
3eissn
0929-5313issn
1573-6873pii
5273095journal_volume
16pub_type
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journal_title:Journal of computational neuroscience
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journal_title:Journal of computational neuroscience
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journal_title:Journal of computational neuroscience
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journal_title:Journal of computational neuroscience
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journal_title:Journal of computational neuroscience
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journal_title:Journal of computational neuroscience
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journal_title:Journal of computational neuroscience
pub_type: 杂志文章
doi:10.1007/s10827-019-00710-y
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journal_title:Journal of computational neuroscience
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doi:10.1007/s10827-012-0428-2
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journal_title:Journal of computational neuroscience
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journal_title:Journal of computational neuroscience
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journal_title:Journal of computational neuroscience
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journal_title:Journal of computational neuroscience
pub_type: 杂志文章
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