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Mitigating noise effects in volatile nano-metal oxide neural detector

Mitigating noise effects in volatile nano-metal oxide neural detector
Mitigating noise effects in volatile nano-metal oxide neural detector
The sensitivity of a recently proposed spike detector exploiting the volatile properties of memristive device is optimised. A 200 nm × 200 nm TiOx memristive device in volatile region is biased with sub-threshold, unipolar and bipolar neural events. The input neural signal is pre-processed using different amplification settings. The resistive state response of the test device in response to the input events is analysed and it is found that inclusion of events in positive polarity leads to subsequent increase in the number of false events when benchmarked against state-of-the-art spike detector (template matching system). The performance of the system is thereafter optimised by determining optimum amplification settings and employing an offset such that positive polarity events in the input signal are minimised.
IEEE
Gupta, Isha
370a16ea-0d0f-4089-8703-2722267e4aac
Serb, Alexantrou
30f5ec26-f51d-42b3-85fd-0325a27a792c
Khiat, Ali
bf549ddd-5356-4a7d-9c12-eb6c0d904050
Prodromakis, Themistoklis
d58c9c10-9d25-4d22-b155-06c8437acfbf
Gupta, Isha
370a16ea-0d0f-4089-8703-2722267e4aac
Serb, Alexantrou
30f5ec26-f51d-42b3-85fd-0325a27a792c
Khiat, Ali
bf549ddd-5356-4a7d-9c12-eb6c0d904050
Prodromakis, Themistoklis
d58c9c10-9d25-4d22-b155-06c8437acfbf

Gupta, Isha, Serb, Alexantrou, Khiat, Ali and Prodromakis, Themistoklis (2017) Mitigating noise effects in volatile nano-metal oxide neural detector. In 2017 IEEE International Symposium on Circuits and Systems (ISCAS). IEEE.. (doi:10.1109/ISCAS.2017.8050987).

Record type: Conference or Workshop Item (Paper)

Abstract

The sensitivity of a recently proposed spike detector exploiting the volatile properties of memristive device is optimised. A 200 nm × 200 nm TiOx memristive device in volatile region is biased with sub-threshold, unipolar and bipolar neural events. The input neural signal is pre-processed using different amplification settings. The resistive state response of the test device in response to the input events is analysed and it is found that inclusion of events in positive polarity leads to subsequent increase in the number of false events when benchmarked against state-of-the-art spike detector (template matching system). The performance of the system is thereafter optimised by determining optimum amplification settings and employing an offset such that positive polarity events in the input signal are minimised.

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Mitigating noise effects in volatile nano-metal oxide neural detector - Accepted Manuscript
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Accepted/In Press date: 1 August 2017
e-pub ahead of print date: 28 September 2017
Published date: 28 September 2017

Identifiers

Local EPrints ID: 418653
URI: https://eprints.soton.ac.uk/id/eprint/418653
PURE UUID: 8dc4cf8e-27f6-4870-8ab6-440de518374a
ORCID for Themistoklis Prodromakis: ORCID iD orcid.org/0000-0002-6267-6909

Catalogue record

Date deposited: 14 Mar 2018 17:30
Last modified: 20 Jul 2019 00:38

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Contributors

Author: Isha Gupta
Author: Alexantrou Serb
Author: Ali Khiat

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