Communications Practical Considerations in the Implementation of the French-Holden Algorithm for Sampling of Neuronal Spike Trains

R. J. Peterka; A. C. Sanderson; D. P. O'leary

doi:10.1109/TBME.1978.326246

Communications Practical Considerations in the Implementation of the French-Holden Algorithm for Sampling of Neuronal Spike Trains

R. J. Peterka, A. C. Sanderson, D. P. O'leary

Research output: Contribution to journal › Article › peer-review

14 Scopus citations

Abstract

The French-Holden algorithm (1), (2), (3) provides a sampled data time series representation of a neuronal spike train in order to facilitate subsequent analyses by conventional signal processing techniques. Two characteristics of this filtering algorithm make the choice of data record length particularly important: (a) an ideal, sharp cutoff filter is used on the spike train, and (b) the Nyquist sampling frequency is chosen exactly equal to the filter cutoff frequency. In this note, sources of distortion and aliasing errors due to finite data records are discussed and guidelines for the selection of minimum record length are given.

Original language	English (US)
Pages (from-to)	192-195
Number of pages	4
Journal	IEEE Transactions on Biomedical Engineering
Volume	BME-25
Issue number	2
DOIs	https://doi.org/10.1109/TBME.1978.326246
State	Published - Mar 1978
Externally published	Yes

ASJC Scopus subject areas

Biomedical Engineering

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Communications Practical Considerations in the Implementation of the French-Holden Algorithm for Sampling of Neuronal Spike Trains

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