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Coupling an aVLSI neuromorphic vision chip to a neurotrophic model of synaptic plasticity: The development of topography

Coupling an aVLSI neuromorphic vision chip to a neurotrophic model of synaptic plasticity: The development of topography
Coupling an aVLSI neuromorphic vision chip to a neurotrophic model of synaptic plasticity: The development of topography
We couple a previously-studied, biologically-inspired neurotrophic model of activity-dependent competitive synaptic plasticity and neuronal development to a neuromorphic retina chip. Using this system, we examine the development and refinement of a topographic mapping between an array of afferent neurons (the "retinal ganglion cells") and an array of target neurons. We find that the plasticity model can indeed drive topographic refinement in the presence of afferent activity patterns generated by a real-world device. We examine the resilience of the developing system to the presence of high levels of noise by adjusting the spontaneous firing rate of the silicon neurons.
2353-2370
Elliott, Terry
b4262f0d-c295-4ea4-b5d8-3931470952f9
Kramer, Jörg
e0d40518-b8ed-4a8b-bd41-72fc941b2165
Elliott, Terry
b4262f0d-c295-4ea4-b5d8-3931470952f9
Kramer, Jörg
e0d40518-b8ed-4a8b-bd41-72fc941b2165

Elliott, Terry and Kramer, Jörg (2002) Coupling an aVLSI neuromorphic vision chip to a neurotrophic model of synaptic plasticity: The development of topography. Neural Computation, 14 (10), 2353-2370.

Record type: Article

Abstract

We couple a previously-studied, biologically-inspired neurotrophic model of activity-dependent competitive synaptic plasticity and neuronal development to a neuromorphic retina chip. Using this system, we examine the development and refinement of a topographic mapping between an array of afferent neurons (the "retinal ganglion cells") and an array of target neurons. We find that the plasticity model can indeed drive topographic refinement in the presence of afferent activity patterns generated by a real-world device. We examine the resilience of the developing system to the presence of high levels of noise by adjusting the spontaneous firing rate of the silicon neurons.

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Published date: 2002
Organisations: Web & Internet Science

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Local EPrints ID: 258901
URI: https://eprints.soton.ac.uk/id/eprint/258901
PURE UUID: 1f72c946-8ea0-4116-aced-e660fc1c3f14

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Date deposited: 26 Feb 2004
Last modified: 18 Jul 2017 09:29

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Contributors

Author: Terry Elliott
Author: Jörg Kramer

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