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Temporal Coding Model of Spiking Output for Retinal Ganglion Cells

Vance, Philip, Das, Gautham, Kerr, Dermot, Coleman, SA and McGinnity, Martin (2016) Temporal Coding Model of Spiking Output for Retinal Ganglion Cells. In: COGNITIVE 2016 : The Eighth International Conference on Advanced Cognitive Technologies and Applications, Rome, Italy. IARIA. 7 pp. [Conference contribution]

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URL: http://www.thinkmind.org/index.php?view=article&articleid=cognitive_2016_5_20_40078

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.

Item Type:Conference contribution (Paper)
Keywords:Spiking; Retinal Ganglion Cell; ANN; NARMAX
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Intelligent Systems
Research Institutes and Groups:Computer Science Research Institute > Intelligent Systems Research Centre
Computer Science Research Institute
ID Code:36102
Deposited By: Dr Dermot Kerr
Deposited On:17 Feb 2017 10:57
Last Modified:17 Oct 2017 16:26

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