Dataset for PhD Thesis "Experimental Demonstration of RRAM-based Computational Cells for Reconfigurable Mixed-Signal Neuro-Inspired Circuits and Systems"
Dataset for PhD Thesis "Experimental Demonstration of RRAM-based Computational Cells for Reconfigurable Mixed-Signal Neuro-Inspired Circuits and Systems"
Dataset for University of Southampton Doctoral Thesis. Title of Thesis: "Experimental Demonstration of RRAM-based Computational Cells for Reconfigurable Mixed-Signal Neuro-Inspired Circuits and Systems"
memristor, wake-up circuit, memory and logic co-location, threshold logic gates, analogue reconfigurable arrays
University of Southampton
Papandroulidakis, Georgios
518ddb08-ebeb-4026-829d-7a3db4fd3275
Prodromakis, Themis
d58c9c10-9d25-4d22-b155-06c8437acfbf
Serb, Alexantrou
30f5ec26-f51d-42b3-85fd-0325a27a792c
Merrett, Geoffrey
89b3a696-41de-44c3-89aa-b0aa29f54020
Papandroulidakis, Georgios
518ddb08-ebeb-4026-829d-7a3db4fd3275
Prodromakis, Themis
d58c9c10-9d25-4d22-b155-06c8437acfbf
Serb, Alexantrou
30f5ec26-f51d-42b3-85fd-0325a27a792c
Merrett, Geoffrey
89b3a696-41de-44c3-89aa-b0aa29f54020
Papandroulidakis, Georgios
(2021)
Dataset for PhD Thesis "Experimental Demonstration of RRAM-based Computational Cells for Reconfigurable Mixed-Signal Neuro-Inspired Circuits and Systems".
University of Southampton
doi:10.5258/SOTON/D2031
[Dataset]
Abstract
Dataset for University of Southampton Doctoral Thesis. Title of Thesis: "Experimental Demonstration of RRAM-based Computational Cells for Reconfigurable Mixed-Signal Neuro-Inspired Circuits and Systems"
Archive
Dataset_for_PhD_Thesis.zip
- Dataset
Text
Dataset_README_file.txt
- Dataset
More information
Published date: 2021
Keywords:
memristor, wake-up circuit, memory and logic co-location, threshold logic gates, analogue reconfigurable arrays
Identifiers
Local EPrints ID: 452161
URI: http://eprints.soton.ac.uk/id/eprint/452161
PURE UUID: 97286885-a002-4623-9662-eae421069a3d
Catalogue record
Date deposited: 26 Nov 2021 17:30
Last modified: 06 May 2023 01:41
Export record
Altmetrics
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