2-D spatial frequency dependence of VEP's. A neural network analysis

Raymond Iezzi, Evangelia Micheli-Tzanakou

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

1 Scopus citations

Abstract

Visual Evoked Potentials were recorded from normal subjects using stimulus patterns that evolved from a totally random distribution of intensities to an ordered distribution representing a bar. The contribution of all spatial frequencies to the amplitudes of the evoked potentials were studied by performing a 2D-FFT on the stimulus images. The FFT spectra were used as inputs to a Neural Network as a black box approach in order to study the frequency tuning curves of the subjects.

Original languageEnglish (US)
Title of host publicationBioengineering, Proceedings of the Northeast Conference
Place of PublicationPiscataway, NJ, United States
PublisherPubl by IEEE
Pages111-112
Number of pages2
ISBN (Print)0780309251
StatePublished - 1993
Externally publishedYes
EventProceedings of the 1993 IEEE 19th Annual Northeast Bioengineering Conference - Newark, NJ, USA
Duration: Mar 18 1993Mar 19 1993

Other

OtherProceedings of the 1993 IEEE 19th Annual Northeast Bioengineering Conference
CityNewark, NJ, USA
Period3/18/933/19/93

ASJC Scopus subject areas

  • Chemical Engineering(all)

Fingerprint Dive into the research topics of '2-D spatial frequency dependence of VEP's. A neural network analysis'. Together they form a unique fingerprint.

  • Cite this

    Iezzi, R., & Micheli-Tzanakou, E. (1993). 2-D spatial frequency dependence of VEP's. A neural network analysis. In Bioengineering, Proceedings of the Northeast Conference (pp. 111-112). Publ by IEEE.