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Temporal Coding Model of Spiking Output for Retinal Ganglion Cells

Authors:
Philip Vance
Gautham P. Das
Dermot Kerr
Sonya A. Coleman
Thomas M. McGinnity

Keywords: Temporal coding; Spiking; Retinal Ganglion Cell; ANN; NARMAX.

Abstract:
Traditionally, it has been assumed that the important information from a visual scene is encoded within the average firing rate of a retinal ganglion cell. Many modelling techniques thus focus solely on estimating a firing rate rather than a cells temporal response. It has been argued however that the latter is more important, as intricate details of the visual scene are stored within the temporal nature of the code. In this paper, we present a model that accurately describes the input/output response of a retinal ganglion cell in terms of its temporal coding. The approach borrows a concept of layout from popular implementations, such as the linear-nonlinear Poisson method that produces an estimated spike rate prior to generating a spiking output. Using the well-known Izhikevich neuron as the spike generator and various approaches for spike rate estimation, we show that the resulting overall system predicts a retinal ganglion cells response to novel stimuli in terms of bursting and periods of silence with reasonable accuracy.

Pages: 83 to 89

Copyright: Copyright (c) IARIA, 2016

Publication date: March 20, 2016

Published in: conference

ISSN: 2308-4197

ISBN: 978-1-61208-462-6

Location: Rome, Italy

Dates: from March 20, 2016 to March 24, 2016