Accurate representation of light-intensity information by the neural activities of independently firing retinal ganglion cells

Baek Ryu Sang, Hee Ye Jang, Hyun Kim Chi, Sook Goo Yong, Hwan Kim Kyung

Research output: Contribution to journalArticle

Abstract

For successful restoration of visual function by a visual neural prosthesis such as retinal implant, electrical stimulation should evoke neural responses so that the information on visual input is properly represented. A stimulation strategy, which means a method for generating stimulation waveforms based on visual input, should be developed for this purpose. We proposed to use the decoding of visual input from retinal ganglion cell (RGC) responses for the evaluation of stimulus encoding strategy. This is based on the assumption that reliable encoding of visual information in RGC responses is required to enable successful visual perception. The main purpose of this study was to determine the influence of inter-dependence among stimulated RGCs activities on decoding accuracy. Light intensity variations were decoded from multiunit RGC spike trains using an optimal linear filter. More accurate decoding was possible when different types of RGCs were used together as input. Decoding accuracy was enhanced with independently firing RGCs compared to synchronously firing RGCs. This implies that stimulation of independently-firing RGCs and RGCs of different types may be beneficial for visual function restoration by retinal prosthesis.

Original languageEnglish
Pages (from-to)221-227
Number of pages7
JournalKorean Journal of Physiology and Pharmacology
Volume13
Issue number3
DOIs
Publication statusPublished - 2009 Jun 1

    Fingerprint

All Science Journal Classification (ASJC) codes

  • Physiology
  • Pharmacology

Cite this