Modelling of a retinal ganglion cell with simple spiking models

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

Modelling aspects of the human vision system, including the retina, is difficult due to insufficient knowledge about the internal components, organisation and complexity of the interactions within the system. Retinal ganglion cells are considered a core component of the human visual system as they convey the accumulated data as action potentials onto the optic nerve. Current techniques capable of mapping this input-output response involve computational combinations of linear and nonlinear models that are generally complex and lack any relevance to the underlying biophysics. This paper aims to model a retinal ganglion cell with a simple spiking neuron combined with a pre-processing method, which accounts for the preceding retinal neural structure. Performance of the models is compared with the spike responses obtained in the electrophysiological recordings from a mammalian retina subjected to visual stimulation.
LanguageEnglish
Title of host publicationUnknown Host Publication
Number of pages8
DOIs
Publication statusPublished - 12 Jul 2015
Event2015 International Joint Conference on Neural Networks (IJCNN), - Killarney
Duration: 12 Jul 2015 → …

Conference

Conference2015 International Joint Conference on Neural Networks (IJCNN),
Period12/07/15 → …

Fingerprint

Retinal Ganglion Cells
Retina
Biophysics
Photic Stimulation
Nonlinear Dynamics
Optic Nerve
Action Potentials
Linear Models
Neurons

Keywords

  • Retinal Ganglion Cells
  • Virtual Retina
  • Spike generation

Cite this

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title = "Modelling of a retinal ganglion cell with simple spiking models",
abstract = "Modelling aspects of the human vision system, including the retina, is difficult due to insufficient knowledge about the internal components, organisation and complexity of the interactions within the system. Retinal ganglion cells are considered a core component of the human visual system as they convey the accumulated data as action potentials onto the optic nerve. Current techniques capable of mapping this input-output response involve computational combinations of linear and nonlinear models that are generally complex and lack any relevance to the underlying biophysics. This paper aims to model a retinal ganglion cell with a simple spiking neuron combined with a pre-processing method, which accounts for the preceding retinal neural structure. Performance of the models is compared with the spike responses obtained in the electrophysiological recordings from a mammalian retina subjected to visual stimulation.",
keywords = "Retinal Ganglion Cells, Virtual Retina, Spike generation",
author = "Philip Vance and SA Coleman and D Kerr and Gautham Das and TM McGinnity",
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month = "7",
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Vance, P, Coleman, SA, Kerr, D, Das, G & McGinnity, TM 2015, Modelling of a retinal ganglion cell with simple spiking models. in Unknown Host Publication. 2015 International Joint Conference on Neural Networks (IJCNN), 12/07/15. https://doi.org/10.1109/IJCNN.2015.7280759

Modelling of a retinal ganglion cell with simple spiking models. / Vance, Philip; Coleman, SA; Kerr, D; Das, Gautham; McGinnity, TM.

Unknown Host Publication. 2015.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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