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A biomimetic model of the outer plexiform layer by incorporating memristive devices

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
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), 1-24.

Record type: Article

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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More information

Published date: December 2011
Organisations: Nanoelectronics and Nanotechnology

Identifiers

Local EPrints ID: 351547
URI: https://eprints.soton.ac.uk/id/eprint/351547
PURE UUID: 9c143547-fc05-4e42-9a63-43ed366a3403
ORCID for Themistoklis Prodromakis: ORCID iD orcid.org/0000-0002-6267-6909

Catalogue record

Date deposited: 23 Apr 2013 13:22
Last modified: 06 Jun 2018 12:24

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Contributors

Author: Andras Gelencser
Author: Christofer Toumazou
Author: Tamas Roska

University divisions

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