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

Robert (Bob) Peterka, A. C. Sanderson, D. P. O'leary

Research output: Contribution to journalArticle

13 Citations (Scopus)

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 languageEnglish (US)
Pages (from-to)192-195
Number of pages4
JournalIEEE Transactions on Biomedical Engineering
VolumeBME-25
Issue number2
DOIs
StatePublished - 1978
Externally publishedYes

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Sampling
Communication
Cutoff frequency
Time series
Signal processing

ASJC Scopus subject areas

  • Biomedical Engineering

Cite this

Communications Practical Considerations in the Implementation of the French-Holden Algorithm for Sampling of Neuronal Spike Trains. / Peterka, Robert (Bob); Sanderson, A. C.; O'leary, D. P.

In: IEEE Transactions on Biomedical Engineering, Vol. BME-25, No. 2, 1978, p. 192-195.

Research output: Contribution to journalArticle

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