Firing Correlations Improve Detection of Moving Bars IJCNN 2003

Garrett T. Kenyon, James Theiler, David W. Marshak, Bartlett Moore, Janelle Jeffs, Bryan J. Travis

Research output: Contribution to conferencePaperpeer-review

1 Scopus citations

Abstract

Moving stimuli elicit oscillatory responses from retinal ganglion cells at frequencies between 60-100 Hz. We used a computer model of the inner retina to investigate whether the additional firing synchrony resulting from stimulus-evoked high frequency oscillations could contribute to the detection of moving bars. The responses of the model ganglion cells were similar to those of cat alpha cells. Event trains from the model ganglion cells stimulated by moving bars were summed into a threshold detector with a short integration window (2-4 msec) whose output was classified by an ideal observer. To isolate the contribution from firing correlations, the model ganglion cells were replaced by independent Poisson generators with matched time-dependent event rates. Compared to this control, firing correlations between the model ganglion cells allowed for improved detection of moving stimuli.

Original languageEnglish (US)
Pages1274-1279
Number of pages6
StatePublished - 2003
EventInternational Joint Conference on Neural Networks 2003 - Portland, OR, United States
Duration: Jul 20 2003Jul 24 2003

Other

OtherInternational Joint Conference on Neural Networks 2003
Country/TerritoryUnited States
CityPortland, OR
Period7/20/037/24/03

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence

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