Emulating short-term synaptic dynamics with memristive devices
Emulating short-term synaptic dynamics with memristive devices
Neuromorphic architectures offer great promise for achieving computation capacities beyond conventional Von Neumann machines. The essential elements for achieving this vision are highly scalable synaptic mimics that do not undermine biological fidelity. Here we demonstrate that single solid-state TiO2 memristors can exhibit non-associative plasticity phenomena observed in biological synapses, supported by their metastable memory state transition properties. We show that, contrary to conventional uses of solid-state memory, the existence of rate-limiting volatility is a key feature for capturing short-term synaptic dynamics. We also show how the temporal dynamics of our prototypes can be exploited to implement spatio-temporal computation, demonstrating the memristors full potential for building biophysically realistic neural processing systems.
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Berdan, Radu
e259cd5a-6e30-4439-94c0-9c44903e1e75
Vasilaki, Eleni
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Khiat, Ali
bf549ddd-5356-4a7d-9c12-eb6c0d904050
Indiveri, Giacomo
2dcdb034-d331-48ad-80c3-23a7d69e1f4f
Serb, Alexantrou
30f5ec26-f51d-42b3-85fd-0325a27a792c
Prodromakis, Themistoklis
d58c9c10-9d25-4d22-b155-06c8437acfbf
4 January 2016
Berdan, Radu
e259cd5a-6e30-4439-94c0-9c44903e1e75
Vasilaki, Eleni
e92684ca-5073-4151-bcfb-c5fa7506fb04
Khiat, Ali
bf549ddd-5356-4a7d-9c12-eb6c0d904050
Indiveri, Giacomo
2dcdb034-d331-48ad-80c3-23a7d69e1f4f
Serb, Alexantrou
30f5ec26-f51d-42b3-85fd-0325a27a792c
Prodromakis, Themistoklis
d58c9c10-9d25-4d22-b155-06c8437acfbf
Berdan, Radu, Vasilaki, Eleni, Khiat, Ali, Indiveri, Giacomo, Serb, Alexantrou and Prodromakis, Themistoklis
(2016)
Emulating short-term synaptic dynamics with memristive devices.
Scientific Reports, 6, , [18639].
(doi:10.1038/srep18639).
Abstract
Neuromorphic architectures offer great promise for achieving computation capacities beyond conventional Von Neumann machines. The essential elements for achieving this vision are highly scalable synaptic mimics that do not undermine biological fidelity. Here we demonstrate that single solid-state TiO2 memristors can exhibit non-associative plasticity phenomena observed in biological synapses, supported by their metastable memory state transition properties. We show that, contrary to conventional uses of solid-state memory, the existence of rate-limiting volatility is a key feature for capturing short-term synaptic dynamics. We also show how the temporal dynamics of our prototypes can be exploited to implement spatio-temporal computation, demonstrating the memristors full potential for building biophysically realistic neural processing systems.
Text
srep18639.pdf
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Accepted/In Press date: 19 November 2015
e-pub ahead of print date: 4 January 2016
Published date: 4 January 2016
Organisations:
Nanoelectronics and Nanotechnology
Identifiers
Local EPrints ID: 384267
URI: http://eprints.soton.ac.uk/id/eprint/384267
PURE UUID: 6dceea9d-2d4f-4193-b4c9-4724a87de2c4
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Date deposited: 17 Dec 2015 16:24
Last modified: 14 Mar 2024 21:56
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Contributors
Author:
Radu Berdan
Author:
Eleni Vasilaki
Author:
Ali Khiat
Author:
Giacomo Indiveri
Author:
Alexantrou Serb
Author:
Themistoklis Prodromakis
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