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Modelling of a retinal ganglion cell with simple spiking models

Vance, Philip, Coleman, SA, Kerr, D, Das, Gautham and McGinnity, TM (2015) Modelling of a retinal ganglion cell with simple spiking models. In: 2015 International Joint Conference on Neural Networks (IJCNN),, Killarney. IEEE. 8 pp. [Conference contribution]

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DOI: 10.1109/IJCNN.2015.7280759


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.

Item Type:Conference contribution (Paper)
Keywords:Retinal Ganglion Cells; Virtual Retina; Spike generation
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:32524
Deposited By: Dr Sonya Coleman
Deposited On:04 Nov 2015 11:41
Last Modified:04 Nov 2015 11:41

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