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Emulating short-term synaptic dynamics with memristive devices

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.
University of Southampton
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
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 (2015) Emulating short-term synaptic dynamics with memristive devices. University of Southampton doi:10.5258/SOTON/384816 [Dataset]

Record type: Dataset

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.

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More information

Published date: 2015
Organisations: Nanoelectronics and Nanotechnology

Identifiers

Local EPrints ID: 384816
URI: https://eprints.soton.ac.uk/id/eprint/384816
PURE UUID: 313d85e8-dfd8-4b5c-99ce-dd6b762e01ec
ORCID for Themistoklis Prodromakis: ORCID iD orcid.org/0000-0002-6267-6909

Catalogue record

Date deposited: 14 Dec 2015 14:54
Last modified: 08 Aug 2018 00:30

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Contributors

Creator: Radu Berdan
Creator: Eleni Vasilaki
Creator: Ali Khiat
Creator: Giacomo Indiveri
Creator: Alexantrou Serb

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