Neuroscience 2003 Abstract
| Presentation Number: | 698.7 |
|---|---|
| Abstract Title: | Classification of guinea pig retinal ganglion cells using large scale multielectrode recordings. |
| Authors: |
Grivich, M. I.*1
; Petrusca, D.1
; Kalmar, R. S.2
; Sher, A.1
; Chichilnisky, E. J.2
; Litke, A. M.1
1Santa Cruz Inst. for Particle Physics, Univ. of California, Santa Cruz, CA 2CA, Natural Sci. 2 1156 High St., 95064, |
| Primary Theme and Topics |
Sensory Systems - Vision -- Retina and photoreceptors |
| Secondary Theme and Topics | Techniques in Neuroscience<br />- Data analysis, physiological methods, statistics |
| Session: |
698. Retina: Receptive Fields, Function & Models Poster |
| Presentation Time: | Tuesday, November 11, 2003 3:00 PM-4:00 PM |
| Location: | Morial Convention Center - Hall F-I, Board # F3 |
| Keywords: | NEURAL CODING |
Multielectrode recordings are required to determine how the retina transmits multiple parallel visual images to the brain in the ensemble activity of multiple distinct classes of retinal ganglion cells (RGCs). However, the promise of multielectrode recording is limited by the small numbers of electrodes (dozens) available in state of the art systems, and the consequent recording of just a few examples of each cell type in a single preparation. Here we present the first simultaneous recordings from hundreds of mammalian retinal ganglion cells using a 512-electrode array system developed for this purpose (Litke et al, SFN 2003), as well as receptive field characterization and cell type classification obtained with these recordings.
Extracellular recordings were obtained from isolated guinea pig retinas stimulated with the optically reduced image of a computer display. Action potentials from different RGCs were automatically identified and sorted using custom software, and isolation was verified by the presence of a refractory period in the spike train autocorrelation. The spatiotemporal receptive field of each RGC was characterized using the spike-triggered average (STA) stimulus obtained with spatiotemporal white noise (i.e. a flickering checkerboard). Direction sensitivity was probed with moving bars and sinusoidal gratings. Many classes of RGCs were identified, including several classes of direction-selective cells, and the receptive field mosaic for each class was characterized. The large numbers of cells recorded permitted more reliable identification of distinct cell classes, and a more complete statistical characterization of each cell class, than would have been possible with previously developed techniques.
Extracellular recordings were obtained from isolated guinea pig retinas stimulated with the optically reduced image of a computer display. Action potentials from different RGCs were automatically identified and sorted using custom software, and isolation was verified by the presence of a refractory period in the spike train autocorrelation. The spatiotemporal receptive field of each RGC was characterized using the spike-triggered average (STA) stimulus obtained with spatiotemporal white noise (i.e. a flickering checkerboard). Direction sensitivity was probed with moving bars and sinusoidal gratings. Many classes of RGCs were identified, including several classes of direction-selective cells, and the receptive field mosaic for each class was characterized. The large numbers of cells recorded permitted more reliable identification of distinct cell classes, and a more complete statistical characterization of each cell class, than would have been possible with previously developed techniques.
Supported by NSF grant PHY-9988753 (AML); McKnight Foundation, Sloan Foundation & NEI grant 13150 (EJC)
Sample Citation:
[Authors]. [Abstract Title]. Program No. XXX.XX. 2003 Neuroscience Meeting Planner. New Orleans, LA: Society for Neuroscience, 2003. Online.
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