Spike Train Regularity Analysis

Implements an improved regularity analysis for spike trains obtained from auditory neurons.
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Aggiornato 11 mag 2011

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The variation in Inter-Spike Interval (ISI) between repetitions of a stimulus such as a tone burst for auditory neurons is one of the standard criteria used to classify their responses. The standard method uses bins and produces a noisy and biased estimate of the required quantity. This function calculates it exactly.

Cita come

Matthew Wright (2024). Spike Train Regularity Analysis (https://www.mathworks.com/matlabcentral/fileexchange/31410-spike-train-regularity-analysis), MATLAB Central File Exchange. Recuperato .

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Creato con R2010b
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Versione Pubblicato Note della release
1.0.0.0