SPIKE RECOGNITION BY STROKE DENSITY FUNCTION CALCULATION.

Evangelia Micheli-Tzanakou, Raymond Iezzi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

When an electrode is inserted in one of the sensory pathways, it records neuronal activities from multiple neurons (units). One of the tasks the investigator has to perform is to separate the ongoing activity and characterize the different units by their spike-trains. One of the most widely used techniques for the separation of spikes is window discrimination in which different thresholds are set, above which the activity of any given unit is assigned, according to amplitude. The problem of getting the maximum information about the site of recording with only one electrode and pattern recognition techniques on multiunit neuronal spike-trains is analyzed. Some preliminary data from computer simulations are also presented.

Original languageEnglish (US)
Title of host publicationBioengineering, Proceedings of the Northeast Conference
EditorsWalter S. Kuklinski, William J. Ohley
Place of PublicationNew York, NY, USA
PublisherIEEE
Pages309-312
Number of pages4
StatePublished - 1985
Externally publishedYes

ASJC Scopus subject areas

  • Chemical Engineering(all)

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  • Cite this

    Micheli-Tzanakou, E., & Iezzi, R. (1985). SPIKE RECOGNITION BY STROKE DENSITY FUNCTION CALCULATION. In W. S. Kuklinski, & W. J. Ohley (Eds.), Bioengineering, Proceedings of the Northeast Conference (pp. 309-312). IEEE.