Optimal linear filter based light intensity decoding from rabbit retinal ganglion cell spike trains

Sang Baek Ryu, Jang Hee Ye, Yong Sook Goo, Beop Min Kim, Kyung Hwan Kim

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

Abstract

As a preliminary study for the development of electrical stimulation strategy of artificial retina, we set up a method for the reconstruction of input intensity variation from retinal ganglion cell (RGC) responses. In order to estimate light intensity variation, we used an optimal linear filter trained from given stimulus intensity variation and multiple single unit spike trains from RGCs. By applying ON/OFF stimulation repetitively, the type of a specific RGC was determined. In the case of ON/OFF stimulus in which temporal variation is slow, very successful reconstruction was achieved and the correlation coefficient was as high as 0.8. The reconstruction of Gaussian and binary random stimulus was also presented.

Original languageEnglish
Title of host publicationProceedings of the 3rd International IEEE EMBS Conference on Neural Engineering
Pages608-610
Number of pages3
DOIs
Publication statusPublished - 2007
Event3rd International IEEE EMBS Conference on Neural Engineering - Kohala Coast, HI, United States
Duration: 2007 May 22007 May 5

Publication series

NameProceedings of the 3rd International IEEE EMBS Conference on Neural Engineering

Other

Other3rd International IEEE EMBS Conference on Neural Engineering
CountryUnited States
CityKohala Coast, HI
Period07/5/207/5/5

All Science Journal Classification (ASJC) codes

  • Biotechnology
  • Bioengineering
  • Neuroscience (miscellaneous)

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