Neural network analysis of neuronal spike-trains

R. Iezzi, E. Micheli-Tzanakou

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

3 Scopus citations

Abstract

A description is given of spike-train tomographic scanning (ST-scanning), a feature extraction method useful in the separation of component action potentials from composite spike-trains. Using ST-scanning, spike-train components are differentially represented in histograms according to the scan angle used. These histogram waveforms are then analyzed using a 3-layer perceptron, employing a least mean square (LMS) learning algorithm. The neural network is first trained to relate specific ST-scan histograms to known spike-train patterns. After training, the perceptron is run on feedforward mode to allow the separation of component action potentials from composite waveforms. Results obtained with this technique are discussed.

Original languageEnglish (US)
Title of host publicationProceedings of the Annual Conference on Engineering in Medicine and Biology
Place of PublicationPiscataway, NJ, United States
PublisherPubl by IEEE
Pages1435-1436
Number of pages2
Editionpt 3
ISBN (Print)0879425598
StatePublished - 1990
Externally publishedYes
EventProceedings of the 12th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Philadelphia, PA, USA
Duration: Nov 1 1990Nov 4 1990

Other

OtherProceedings of the 12th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
CityPhiladelphia, PA, USA
Period11/1/9011/4/90

ASJC Scopus subject areas

  • Bioengineering

Fingerprint Dive into the research topics of 'Neural network analysis of neuronal spike-trains'. Together they form a unique fingerprint.

  • Cite this

    Iezzi, R., & Micheli-Tzanakou, E. (1990). Neural network analysis of neuronal spike-trains. In Proceedings of the Annual Conference on Engineering in Medicine and Biology (pt 3 ed., pp. 1435-1436). Publ by IEEE.