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

doi:10.1109/CNE.2007.369745

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

Division of Medical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	Proceedings of the 3rd International IEEE EMBS Conference on Neural Engineering
Pages	608-610
Number of pages	3
DOIs	https://doi.org/10.1109/CNE.2007.369745
Publication status	Published - 2007
Event	3rd International IEEE EMBS Conference on Neural Engineering - Kohala Coast, HI, United States Duration: 2007 May 2 → 2007 May 5

Publication series

Name	Proceedings of the 3rd International IEEE EMBS Conference on Neural Engineering

Other

Other	3rd International IEEE EMBS Conference on Neural Engineering
Country/Territory	United States
City	Kohala Coast, HI
Period	07/5/2 → 07/5/5

All Science Journal Classification (ASJC) codes

Biotechnology
Bioengineering
Neuroscience (miscellaneous)

Access to Document

10.1109/CNE.2007.369745

Cite this

Ryu, S. B., Ye, J. H., Goo, Y. S., Kim, B. M., & Kim, K. H. (2007). Optimal linear filter based light intensity decoding from rabbit retinal ganglion cell spike trains. In Proceedings of the 3rd International IEEE EMBS Conference on Neural Engineering (pp. 608-610). [4227350] (Proceedings of the 3rd International IEEE EMBS Conference on Neural Engineering). https://doi.org/10.1109/CNE.2007.369745

@inproceedings{e3190f00c6c445709eb5b5477ce4cfe0,

title = "Optimal linear filter based light intensity decoding from rabbit retinal ganglion cell spike trains",

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.",

author = "Ryu, {Sang Baek} and Ye, {Jang Hee} and Goo, {Yong Sook} and Kim, {Beop Min} and Kim, {Kyung Hwan}",

year = "2007",

doi = "10.1109/CNE.2007.369745",

language = "English",

isbn = "1424407923",

series = "Proceedings of the 3rd International IEEE EMBS Conference on Neural Engineering",

pages = "608--610",

booktitle = "Proceedings of the 3rd International IEEE EMBS Conference on Neural Engineering",

note = "3rd International IEEE EMBS Conference on Neural Engineering ; Conference date: 02-05-2007 Through 05-05-2007",

}

Ryu, SB, Ye, JH, Goo, YS, Kim, BM & Kim, KH 2007, Optimal linear filter based light intensity decoding from rabbit retinal ganglion cell spike trains. in Proceedings of the 3rd International IEEE EMBS Conference on Neural Engineering., 4227350, Proceedings of the 3rd International IEEE EMBS Conference on Neural Engineering, pp. 608-610, 3rd International IEEE EMBS Conference on Neural Engineering, Kohala Coast, HI, United States, 07/5/2. https://doi.org/10.1109/CNE.2007.369745

Optimal linear filter based light intensity decoding from rabbit retinal ganglion cell spike trains. / Ryu, Sang Baek; Ye, Jang Hee; Goo, Yong Sook et al.
Proceedings of the 3rd International IEEE EMBS Conference on Neural Engineering. 2007. p. 608-610 4227350 (Proceedings of the 3rd International IEEE EMBS Conference on Neural Engineering).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Optimal linear filter based light intensity decoding from rabbit retinal ganglion cell spike trains

AU - Ryu, Sang Baek

AU - Ye, Jang Hee

AU - Goo, Yong Sook

AU - Kim, Beop Min

AU - Kim, Kyung Hwan

PY - 2007

Y1 - 2007

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=34548733611&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=34548733611&partnerID=8YFLogxK

U2 - 10.1109/CNE.2007.369745

DO - 10.1109/CNE.2007.369745

M3 - Conference contribution

AN - SCOPUS:34548733611

SN - 1424407923

SN - 9781424407927

T3 - Proceedings of the 3rd International IEEE EMBS Conference on Neural Engineering

SP - 608

EP - 610

BT - Proceedings of the 3rd International IEEE EMBS Conference on Neural Engineering

T2 - 3rd International IEEE EMBS Conference on Neural Engineering

Y2 - 2 May 2007 through 5 May 2007

ER -

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

Abstract

Publication series

Other

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this