The University of Southampton
University of Southampton Institutional Repository

Dataset for Practical Operation Considerations for Memristive Integrating sensors

Dataset for Practical Operation Considerations for Memristive Integrating sensors
Dataset for Practical Operation Considerations for Memristive Integrating sensors
The effects of key operating parameter on the practical operation of a recently proposed memristor-based neuronal activity sensor are investigated. A test memristor device is repeatedly subjected to a reference neural recording input signal that has been pre-processed using different settings. The resulting changes in the ability of the device to capture and store neuronal activity as resistive state transitions are assessed. It is found that resistive switching saturation is an important performance limiting factor, combatable by resetting the memristor. Higher desired sensitivity (ability to detect less prominent features in the neural waveform) necessitates more frequent resets.
University of Southampton
Gupta, Isha
11f9ea1a-e38a-45d4-930d-96ac78b3d734
Serb, Alexantrou
30f5ec26-f51d-42b3-85fd-0325a27a792c
Khiat, Ali
bf549ddd-5356-4a7d-9c12-eb6c0d904050
Prodromakis, Themistoklis
d58c9c10-9d25-4d22-b155-06c8437acfbf
Gupta, Isha
11f9ea1a-e38a-45d4-930d-96ac78b3d734
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 (2016) Dataset for Practical Operation Considerations for Memristive Integrating sensors. University of Southampton doi:10.5258/SOTON/386838 [Dataset]

Record type: Dataset

Abstract

The effects of key operating parameter on the practical operation of a recently proposed memristor-based neuronal activity sensor are investigated. A test memristor device is repeatedly subjected to a reference neural recording input signal that has been pre-processed using different settings. The resulting changes in the ability of the device to capture and store neuronal activity as resistive state transitions are assessed. It is found that resistive switching saturation is an important performance limiting factor, combatable by resetting the memristor. Higher desired sensitivity (ability to detect less prominent features in the neural waveform) necessitates more frequent resets.

Spreadsheet
Dataset.xlsx - Dataset
Download (7MB)

More information

Published date: 2016
Organisations: Electronics & Computer Science, Nanoelectronics and Nanotechnology

Identifiers

Local EPrints ID: 386838
URI: http://eprints.soton.ac.uk/id/eprint/386838
PURE UUID: 3820ae4e-86cd-417b-a747-568c3c2779b6
ORCID for Themistoklis Prodromakis: ORCID iD orcid.org/0000-0002-6267-6909

Catalogue record

Date deposited: 20 Apr 2016 15:29
Last modified: 04 Nov 2023 10:22

Export record

Altmetrics

Contributors

Creator: Isha Gupta
Creator: Alexantrou Serb
Creator: Ali Khiat
Creator: Themistoklis Prodromakis ORCID iD

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×