A biomimetic model of the outer plexiform layer by incorporating memristive devices
A biomimetic model of the outer plexiform layer by incorporating memristive devices
In this paper we present a biorealistic model for the first part of the early vision processing by incorporating memristive nanodevices. The architecture of the proposed network is based on the organisation and functioning of the outer plexiform layer (OPL) in the vertebrate retina. We demonstrate that memristive devices are indeed a valuable building block for neuromorphic architectures, as their highly non-linear and adaptive response could be exploited for establishing ultra-dense networks with similar dynamics to their biological counterparts. We particularly show that hexagonal memristive grids can be employed for faithfully emulating the smoothing-effect occurring at the OPL for enhancing the dynamic range of the system. In addition, we employ a memristor-based thresholding scheme for detecting the edges of grayscale images, while the proposed system is also evaluated for its adaptation and fault tolerance capacity against different light or noise conditions as well as distinct device yields.
1-24
Gelencser, Andras
fb09130c-8ba4-4e0f-8767-1c1fb786b072
Prodromakis, Themistoklis
d58c9c10-9d25-4d22-b155-06c8437acfbf
Toumazou, Christofer
7a856162-f970-4ef4-8a57-5822d8a69281
Roska, Tamas
4585a61d-5bd5-49eb-b8e0-457609ca0643
December 2011
Gelencser, Andras
fb09130c-8ba4-4e0f-8767-1c1fb786b072
Prodromakis, Themistoklis
d58c9c10-9d25-4d22-b155-06c8437acfbf
Toumazou, Christofer
7a856162-f970-4ef4-8a57-5822d8a69281
Roska, Tamas
4585a61d-5bd5-49eb-b8e0-457609ca0643
Gelencser, Andras, Prodromakis, Themistoklis, Toumazou, Christofer and Roska, Tamas
(2011)
A biomimetic model of the outer plexiform layer by incorporating memristive devices.
Pre-print, (arXiv:1112.0655), .
Abstract
In this paper we present a biorealistic model for the first part of the early vision processing by incorporating memristive nanodevices. The architecture of the proposed network is based on the organisation and functioning of the outer plexiform layer (OPL) in the vertebrate retina. We demonstrate that memristive devices are indeed a valuable building block for neuromorphic architectures, as their highly non-linear and adaptive response could be exploited for establishing ultra-dense networks with similar dynamics to their biological counterparts. We particularly show that hexagonal memristive grids can be employed for faithfully emulating the smoothing-effect occurring at the OPL for enhancing the dynamic range of the system. In addition, we employ a memristor-based thresholding scheme for detecting the edges of grayscale images, while the proposed system is also evaluated for its adaptation and fault tolerance capacity against different light or noise conditions as well as distinct device yields.
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Published date: December 2011
Organisations:
Nanoelectronics and Nanotechnology
Identifiers
Local EPrints ID: 351547
URI: http://eprints.soton.ac.uk/id/eprint/351547
PURE UUID: 9c143547-fc05-4e42-9a63-43ed366a3403
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Date deposited: 23 Apr 2013 13:22
Last modified: 11 Dec 2021 04:43
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Contributors
Author:
Andras Gelencser
Author:
Themistoklis Prodromakis
Author:
Christofer Toumazou
Author:
Tamas Roska
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