Dataset in support of the Southampton doctoral thesis 'Ultra-Fine Signal Classification Using Memristor-Enabled Hardware'
Dataset in support of the Southampton doctoral thesis 'Ultra-Fine Signal Classification Using Memristor-Enabled Hardware'
The data is in the form of .csv file, created from Cadence Virtuoso. They correspond to three circuits simulation results in the doctoral thesis 'Ultra-Fine Signal Classification Using Memristor-Enabled Hardware'.
neural recording front-end, memristor/CMOS
University of Southampton
Wang, Jiaqi
8b0d7a69-fc27-4344-ab3d-9f05fba98145
Prodromakis, Themis
fc63125d-21a9-4b33-a148-512dd175736f
Serb, Alexander
8895cd22-f076-4bbb-8f28-f4539242b947
Wang, Jiaqi
8b0d7a69-fc27-4344-ab3d-9f05fba98145
Prodromakis, Themis
fc63125d-21a9-4b33-a148-512dd175736f
Serb, Alexander
8895cd22-f076-4bbb-8f28-f4539242b947
Wang, Jiaqi
(2023)
Dataset in support of the Southampton doctoral thesis 'Ultra-Fine Signal Classification Using Memristor-Enabled Hardware'.
University of Southampton
doi:10.5258/SOTON/D2528
[Dataset]
Abstract
The data is in the form of .csv file, created from Cadence Virtuoso. They correspond to three circuits simulation results in the doctoral thesis 'Ultra-Fine Signal Classification Using Memristor-Enabled Hardware'.
Text
ReadMe_File.txt
- Dataset
Archive
Dataset_for_Neural_Recording_Front_End.zip
- Dataset
More information
Published date: 2023
Keywords:
neural recording front-end, memristor/CMOS
Identifiers
Local EPrints ID: 474132
URI: http://eprints.soton.ac.uk/id/eprint/474132
PURE UUID: 6f6310c9-f0ad-453a-bf36-e6eb3a6fea85
Catalogue record
Date deposited: 14 Feb 2023 17:37
Last modified: 05 May 2023 20:19
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Contributors
Creator:
Jiaqi Wang
Research team head:
Themis Prodromakis
Research team head:
Alexander Serb
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