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

1 March 1978

journal article
Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Biomedical Engineering

Vol. BME-25 (2) , 192-195
https://doi.org/10.1109/TBME.1978.326246

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.

Keywords

This publication has 4 references indexed in Scilit:

Semi-on-line implementation of an alias-free sampling system for neuronal signals
Computer Programs in Biomedicine, 1971
Alias-free sampling of neuronal spike trains
Biological Cybernetics, 1971
Frequency domain analysis of neurophysiological data
Computer Programs in Biomedicine, 1971
The digital computation of discrete spectra using the fast Fourier transform
IEEE Transactions on Audio and Electroacoustics, 1970