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PubMed · 1800852

Multiple spike-train analysis using mutual interval matrix.

P Kaluzny·R Tarnecki·W Zmyslowski
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Abstract

The principal-component approach is applied to the analysis of sequences of neuronal action potentials (spike trains). Multiple spike trains are represented as a sequence of vectors of mutual interspike intervals and are considered to be part of the trajectory of a dynamic system. The trajectory matrix is decomposed into a number of 'basic spike patterns' and their relative magnitudes by singular-value decomposition. The representation provides a convenient framework for analysis of dynamic relations and cooperation between neurons in an observed network. Examples of applications to simulated and cerebellar data are presented.

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Action PotentialsAnimalsCerebellumElectrophysiologyMathematicsModels, NeurologicalNerve NetNeuronsJournal Article

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P Kaluzny, R Tarnecki, W Zmyslowski. 1991. Multiple spike-train analysis using mutual interval matrix.. https://doi.org/10.1016/0165-0270(91)90064-7

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