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Matthew I. Grivich

Researcher at Santa Cruz Institute for Particle Physics

Publications -  7
Citations -  1129

Matthew I. Grivich is an academic researcher from Santa Cruz Institute for Particle Physics. The author has contributed to research in topics: Retinal ganglion & Multielectrode array. The author has an hindex of 4, co-authored 7 publications receiving 1035 citations.

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The structure of multi-neuron firing patterns in primate retina

TL;DR: Large-scale multi-electrode recordings were used to measure electrical activity in nearly complete, regularly spaced mosaics of several hundred ON and OFF parasol retinal ganglion cells in macaque monkey retina, and pairwise and adjacent interactions accurately accounted for the structure and prevalence of multi-neuron firing patterns.
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Identification and Characterization of a Y-Like Primate Retinal Ganglion Cell Type

TL;DR: Using a newly developed multielectrode array system for the large-scale recording of neural activity, the existence of a physiologically distinct population of ganglion cells in the primate retina with distinctive visual response properties is shown and it is speculated that they correspond to the smooth/large radiate cells recently identified morphologically in thePrimate retina and may therefore provide visual input to both the lateral geniculate nucleus and the superior colliculus.
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Fidelity of the ensemble code for visual motion in primate retina.

TL;DR: Simulation of downstream speed estimation using populations of speed-tuned units showed that peak (winner take all) readout provided more precise speed estimates than centroid (vector average) read out.
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Large-scale multielectrode recording and stimulation of neural activity

TL;DR: A unique neural activity readout and stimulation framework that consists of high-density electrode arrays, multi-channel custom-designed integrated circuits, a data acquisition system, and data-processing software is created that enhances the understanding of neural circuits by allowing active interactions with them and is a basis for a large variety of neural prosthetic devices.