Browse > Article

Accurate Representation of Light-intensity Information by the Neural Activities of Independently Firing Retinal Ganglion Cells  

Ryu, Sang-Baek (Department of Biomedical Engineering, College of Health Science, Yonsei University)
Ye, Jang-Hee (Department of Physiology, Chungbuk National University School of Medicine)
Kim, Chi-Hyun (Department of Biomedical Engineering, College of Health Science, Yonsei University)
Goo, Yong-Sook (Department of Physiology, Chungbuk National University School of Medicine)
Kim, Kyung-Hwan (Department of Biomedical Engineering, College of Health Science, Yonsei University)
Publication Information
The Korean Journal of Physiology and Pharmacology / v.13, no.3, 2009 , pp. 221-227 More about this Journal
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 informat.ion 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.
Keywords
Retinal prosthesis; Retinal ganglion cell; Multielectrode arrray (MEA); Optimal linear filter; Spike train decoding; Functional connectivity;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
Times Cited By Web Of Science : 0  (Related Records In Web of Science)
Times Cited By SCOPUS : 0
연도 인용수 순위
1 Field GD, Chichilnisky EJ. Information processing in the primate retina: circuitry and coding. Annu Rev Neurosci 30: 1−30, 2007   DOI   ScienceOn
2 Humayun MS, Weiland JD, Fujii GY, Greenberg R, Williamson R, Little J, Mech B, Cimmarusti V, Boemel GV, Dagnelie G, de Juan E. Visual perception in a blind subject with a chronic microelectronic retinal prosthesis. Vision Res 43: 2573−2581, 2003   DOI   ScienceOn
3 Meister M, Lagnado L, Baylor DA. Concerted signaling by retinal ganglion cells. Science 270: 1207−1210, 1995   DOI   PUBMED   ScienceOn
4 Nicolelis MAL. Methods for Neural Ensemble recording. CRC Press, Florida, 1998
5 Santos A, Humayun MS, de Juan E, Greenburg RJ, Marsh MJ, Klock IB, Milam AM. Preservation of the inner retina in retinitis pigmentosa: a morphometric analysis. Arch Ophthal 115: 511−515, 1997   DOI   PUBMED   ScienceOn
6 Stett A, Barth W, Weiss S, Haemmerle H, Zrenner E. Electrical multisite stimulation of the isolated chicken retina. Vision Res 40: 1785−1795, 2000   DOI   ScienceOn
7 Wessberg J, Stambaugh CR, Kralik JD, Beck PD, Laubach M, Chapin JK, Kim J, Biggs SJ, Srinivasan MA, Nicolelis MA. Real-time prediction of hand trajectory by ensembles of cortical neurons in primates. Nature 408: 361−365, 2000   DOI   ScienceOn
8 Warland DK, Reinagel P, Meister M. Decoding visual information from a population of retinal ganglion cells. J Neurophysiol 78: 2336−2350, 1997   PUBMED   ScienceOn
9 Ye JH, Ryu SB, Kim KH, Goo YS. Functional connectivity map of retinal ganglion cells for retinal prosthesis. Korean J Physiol Pharmacol 12: 307−314, 2008   과학기술학회마을   DOI   ScienceOn
10 Ryu SB, Kim DH, Ye JH, Kim KH, Goo YS. Estimation of visual stimulus intensity from retinal ganglion cell spike trains using optimal linear filter. J Biomed Eng Res 28: 212−217, 2007   과학기술학회마을   ScienceOn
11 Zrenner E. Will retinal implants restore vision? Science 295: 1022−1025, 2002   DOI   PUBMED   ScienceOn
12 Sekirnjak C, Hottowy P, Sher A, Dabrowski W, Litke AM, Chichilnisky EJ. Electrical stimulation of mammalian retinal ganglion cells with multielectrode array. J Neurophysiol 95: 3311−3327, 2006   DOI   ScienceOn
13 Fried SI, Hsueh HA, Werblin FS. A method for generating precise temporal patterns of retinal spiking using prosthetic stimulation. J Neurophysiol 95: 970−978, 2006   DOI   ScienceOn
14 Brown EN, Kass RE, Mitra PP. Multiple neural spike train data analysis: state-of-the-art and future challenges. Nat Neurosci 7: 456−461, 2004   DOI   ScienceOn
15 Rizzo JF, Wyatt J, Loewenstein J, Kelly S, Shire D. Methods and perceptual thresholds for short-term electrical stimulation of human retina with microelectrode arrays. Invest Ophthalmol Vis Sci 44: 5355−5361, 2003   DOI   ScienceOn
16 Cho HS, Jin GH, Goo YS. Characterization of rabbit retinal ganglion cells with multichannel recording. Korean J Med Phys 15: 228−236, 2004   과학기술학회마을   ScienceOn
17 Kim KH, Kim SS, Kim SJ. Superiority of nonlinear mapping in decoding multiple single-unit neuronal spike trains: a simulation study. J Neurosci Methods 150: 202−211, 2006   DOI   ScienceOn
18 Brown SP, He S, Masland RH. Receptive field microstructure and dendritic geometry of retinal ganglion cells. Neuron 27: 371−383, 2000   DOI   ScienceOn
19 Majji AB, Humayun MS, Weiland JD, Suzuki S, D'Anna SA, de Juan E. Long-term histological and electrophysiological results of an inactive epiretinal electrode array implantation in dogs. Invest Ophthalmol Vis Sci 40: 2073−2081, 1999   PUBMED
20 Merabet LB, Rizzo JF, Amedi A, Somers DC, Pascual-Leone A. What blindness can tell us about seeing again: merging neuroplasticity and neuroprosthesis. Nat Rev Neurosci 6: 71−77, 2005   DOI   PUBMED   ScienceOn