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Dataset supporting the University of Southampton Doctoral Thesis "Neural spike classification acceleration with RRAM technologies"

Dataset supporting the University of Southampton Doctoral Thesis "Neural spike classification acceleration with RRAM technologies"
Dataset supporting the University of Southampton Doctoral Thesis "Neural spike classification acceleration with RRAM technologies"
Dataset supporting the University of Southampton Doctoral Thesis "Neural spike classification acceleration with RRAM technologies". This dataset contains a mix of .vcsv and .mat files containing raw and processed data from experiments presented in the supported work. The dataset contain 2 main folders. The first folder (ArC TWO data) contains data collected during the testing and validation of the instrument developed during the project. The second folder (results) contains raw data obtained in simulation and physical testing of the circuit designed during this project. The data is accessible via CC-BY-NC-ND license.
University of Southampton
Foster, Patrick
7cd3d58b-231c-4986-868f-2c2cd55327dc
Prodromakis, Themis
d58c9c10-9d25-4d22-b155-06c8437acfbf
Serb, Alexantrou
30f5ec26-f51d-42b3-85fd-0325a27a792c
Stathopoulos, Spyridon
98d12f06-ad01-4708-be19-a97282968ee6
Huang, Jinqi
de5be89e-1542-4658-9d67-6757f7075c01
Foster, Patrick
7cd3d58b-231c-4986-868f-2c2cd55327dc
Prodromakis, Themis
d58c9c10-9d25-4d22-b155-06c8437acfbf
Serb, Alexantrou
30f5ec26-f51d-42b3-85fd-0325a27a792c
Stathopoulos, Spyridon
98d12f06-ad01-4708-be19-a97282968ee6
Huang, Jinqi
de5be89e-1542-4658-9d67-6757f7075c01

Foster, Patrick (2023) Dataset supporting the University of Southampton Doctoral Thesis "Neural spike classification acceleration with RRAM technologies". University of Southampton doi:10.5258/SOTON/D2860 [Dataset]

Record type: Dataset

Abstract

Dataset supporting the University of Southampton Doctoral Thesis "Neural spike classification acceleration with RRAM technologies". This dataset contains a mix of .vcsv and .mat files containing raw and processed data from experiments presented in the supported work. The dataset contain 2 main folders. The first folder (ArC TWO data) contains data collected during the testing and validation of the instrument developed during the project. The second folder (results) contains raw data obtained in simulation and physical testing of the circuit designed during this project. The data is accessible via CC-BY-NC-ND license.

Archive
2023_11_13_pfos_thesis_data.zip - Dataset
Available under License Creative Commons Attribution Non-commercial No Derivatives.
Download (41MB)
Text
README.txt - Text
Available under License Creative Commons Attribution Non-commercial No Derivatives.
Download (1kB)

More information

Published date: 13 November 2023
Related URLs:
Learn more about Zepler Institute for Photonics and Nanoelectronics research Learn more about School of Electronics and Computer Science research

Identifiers

Local EPrints ID: 484860
URI: http://eprints.soton.ac.uk/id/eprint/484860
DOI: doi:10.5258/SOTON/D2860
PURE UUID: 8f044b70-385c-4daa-93bd-40d1fd78b5be
ORCID for Themis Prodromakis: ORCID iD orcid.org/0000-0002-6267-6909
ORCID for Spyridon Stathopoulos: ORCID iD orcid.org/0000-0002-0833-6209

Catalogue record

Date deposited: 23 Nov 2023 17:54
Last modified: 24 Nov 2023 17:56

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Contributors

Creator: Patrick Foster
Research team head: Themis Prodromakis ORCID iD
Research team head: Alexantrou Serb
Contributor: Spyridon Stathopoulos ORCID iD
Contributor: Jinqi Huang

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