Dynamic programming algorithms for comparing multineuronal spike trains via cost-based metrics and alignments.

Dynamic programming algorithms for comparing multineuronal spike trains via cost-based metrics and alignments. Research Abstract Details 

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Dynamic programming algorithms for comparing multineuronal spike trains via cost-based metrics and alignments. Abstract Text:

Jonathan D Victor,David H Goldberg,Daniel Gardner,

Cost-based metrics formalize notions of distance, or dissimilarity, between two spike trains, and are applicable to single- and multineuronal responses. As such, these metrics have been used to characterize neural variability and neural coding. By examining the structure of an efficient algorithm [Aronov D, 2003. Fast algorithm for the metric-space analysis of simultaneous responses of multiple single neurons. J Neurosci Methods 124(2), 175-79] implementing a metric for multineuronal responses, we determine criteria for its generalization, and identify additional efficiencies that are applicable when related dissimilarity measures are computed in parallel. The generalized algorithm provides the means to test a wide range of coding hypotheses.

Dynamic programming algorithms for comparing multineuronal spike trains via cost-based metrics and alignments. Publishing Authors By Initials

JD Victor,DH Goldberg,D Gardner,

For similar information science: computing methodologies: signal processing, computer-assisted research abstracts see: information science: computing methodologies: signal processing, computer-assisted research

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Dynamic programming algorithms for comparing multineuronal spike trains via cost-based metrics and alignments. Journal Published:

PUBLICATION TYPE: Research Support, N.I.H., Extr

Journal: Journal of neuroscience methods

VOLUME: 161

Page Numbers: 351-60

Journal Abbreviation: J. Neurosci. Methods

ISSN: 0165-0270

DAY: 15

MONTH: 12

YEAR: 2006

Dynamic programming algorithms for comparing multineuronal spike trains via cost-based metrics and alignments. Information

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LANGUAGE: eng

NlmUniqueID: 7905558

Dynamic programming algorithms for comparing multineuronal spike trains via cost-based metrics and alignments. Keywords Mesh Terms:

KEYWORDS: Signal Processing, Computer-Assisted

MESH TERMS: methods

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Grant and Affiliation Information for Dynamic programming algorithms for comparing multineuronal spike trains via cost-based metrics and alignments.

AFFILIATION: Department of Neurology and Neuroscience, Weill Medical College of Cornell University, 1300 York Avenue, New York City, NY 10021, USA. jdvicto@med.cornell.edu

Country: Netherlands

AGENCY: United States NIMH

GRANT: R01 MH068012-03

ACRONYM: MH

MEDLINETA: J Neurosci Methods

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