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]
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.
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Dataset.xlsx
- Dataset
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
Catalogue record
Date deposited: 20 Apr 2016 15:29
Last modified: 04 Nov 2023 10:22
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Contributors
Creator:
Isha Gupta
Creator:
Alexantrou Serb
Creator:
Ali Khiat
Creator:
Themistoklis Prodromakis
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