Title :
Quantifying the contribution of cross-correlation in stimulus feature discrimination in an ensemble of retinal ganglion cells
Author :
Niu, W.Q. ; Chen, A.H. ; Liang, P.J. ; Yuan, J.Q.
Author_Institution :
Dept. of Autom., Shanghai Jiao Tong Univ.
Abstract :
Based on Poisson variability, the strength of cross-correlation of two spike trains was quantified by a cross-correlation index (CCI). Discriminant analysis with CCI was used to quantify the contribution of cross-correlation in stimulus feature discrimination in an ensemble of retinal ganglion cells. Compared with simulated Poisson cell pair, it was found that cross-correlation carried useful information for stimulus feature discrimination and with the cross-correlation included in the analysis, the color and the intensity discrimination ability of a cell pair increase 4.2% and 2.7%, respectively
Keywords :
bioelectric phenomena; cellular biophysics; eye; neurophysiology; statistical analysis; stochastic processes; Poisson cell pair; Poisson variability; color discrimination; cross-correlation index; discriminant analysis; intensity discrimination; retinal ganglion cells; spike trains; stimulus feature discrimination; Automation; Biomedical engineering; Cells (biology); Color; Electrodes; Information analysis; Neurons; Physiology; Radiofrequency interference; Retina; Poisson train; correlogram; cross-correlation; discriminant analysis; retinal ganglion cells;
Conference_Titel :
Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
Conference_Location :
Shanghai
Print_ISBN :
0-7803-8741-4
DOI :
10.1109/IEMBS.2005.1616435
