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.
041918- [10 pages]
Gelencser, A.
e289a1f1-e8b5-4de7-a871-e0095f501de2
Prodromakis, T.
d58c9c10-9d25-4d22-b155-06c8437acfbf
Toumazou, C.
52728165-8fe5-4c54-9fad-e9ccc4423dd6
Roska, T.
89b5b4cf-f386-4c8d-8250-5d32cd274ee9
April 2012
Gelencser, A.
e289a1f1-e8b5-4de7-a871-e0095f501de2
Prodromakis, T.
d58c9c10-9d25-4d22-b155-06c8437acfbf
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), .
(doi:10.1103/PhysRevE.85.041918).
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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Published date: April 2012
Organisations:
Nanoelectronics and Nanotechnology
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Local EPrints ID: 351546
URI: http://eprints.soton.ac.uk/id/eprint/351546
ISSN: 1539-3755
PURE UUID: 5cd9517d-8cdf-4c4d-b902-24d08c8c28cc
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Date deposited: 23 Apr 2013 10:52
Last modified: 14 Mar 2024 13:41
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Contributors
Author:
A. Gelencser
Author:
T. Prodromakis
Author:
C. Toumazou
Author:
T. Roska
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