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Biomimetic model of the outer plexiform layer by incorporating memristive devices

Biomimetic model of the outer plexiform layer by incorporating memristive devices
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 of processing by incorporating memristive nanodevices. The architecture of the proposed network is based on the organization 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 nonlinear and adaptive response could be exploited for establishing ultradense networks with dynamics similar to that of their biological counterparts. We particularly show that hexagonal memristive grids can be employed for faithfully emulating the smoothing effect occurring in the OPL to enhance 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 its distinct device yields.
1539-3755
041918- [10 pages]
Gelencser, A.
e289a1f1-e8b5-4de7-a871-e0095f501de2
Prodromakis, T.
021673dd-a8df-487a-a8d7-4ce1a107f339
Toumazou, C.
52728165-8fe5-4c54-9fad-e9ccc4423dd6
Roska, T.
89b5b4cf-f386-4c8d-8250-5d32cd274ee9
Gelencser, A.
e289a1f1-e8b5-4de7-a871-e0095f501de2
Prodromakis, T.
021673dd-a8df-487a-a8d7-4ce1a107f339
Toumazou, C.
52728165-8fe5-4c54-9fad-e9ccc4423dd6
Roska, T.
89b5b4cf-f386-4c8d-8250-5d32cd274ee9

Gelencser, A., Prodromakis, T., Toumazou, C. and Roska, T. (2012) Biomimetic model of the outer plexiform layer by incorporating memristive devices. Physical Review E, 85 (4), 041918- [10 pages]. (doi:10.1103/PhysRevE.85.041918).

Record type: Article

Abstract

In this paper we present a biorealistic model for the first part of the early vision of processing by incorporating memristive nanodevices. The architecture of the proposed network is based on the organization 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 nonlinear and adaptive response could be exploited for establishing ultradense networks with dynamics similar to that of their biological counterparts. We particularly show that hexagonal memristive grids can be employed for faithfully emulating the smoothing effect occurring in the OPL to enhance 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 its distinct device yields.

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More information

Published date: April 2012
Organisations: Nanoelectronics and Nanotechnology

Identifiers

Local EPrints ID: 351546
URI: https://eprints.soton.ac.uk/id/eprint/351546
ISSN: 1539-3755
PURE UUID: 5cd9517d-8cdf-4c4d-b902-24d08c8c28cc

Catalogue record

Date deposited: 23 Apr 2013 10:52
Last modified: 16 Jul 2019 21:36

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