Adaptation of convolutional neural networks for multi-channel artifact detection in chronically recorded local field potentials

Fabietti, M. ORCID: 0000-0003-3093-5985, Mahmud, M. ORCID: 0000-0002-2037-8348, Lotfi, A. ORCID: 0000-0002-5139-6565, Averna, A., Guggenmos, D., Nudo, R. and Chiappalone, M., 2020. Adaptation of convolutional neural networks for multi-channel artifact detection in chronically recorded local field potentials. In: 2020 IEEE Symposium Series on Computational Intelligence (SSCI) proceedings. Institute of Electrical and Electronics Engineers (IEEE), pp. 1607-1613. ISBN 9781728125473

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Item Type:	Chapter in book
Description:	Paper presented at the 2020 IEEE Symposium Series on Computational Intelligence (SSCI), (virtually) Canberra, Australia, 1-4 December 2020.
Creators:	Fabietti, M., Mahmud, M., Lotfi, A., Averna, A., Guggenmos, D., Nudo, R. and Chiappalone, M.
Publisher:	Institute of Electrical and Electronics Engineers (IEEE)
Date:	1 December 2020
ISBN:	9781728125473
Identifiers:	Number Type 10.1109/ssci47803.2020.9308165 DOI 1398442 Other
Divisions:	Schools > School of Science and Technology
Record created by:	Linda Sullivan
Date Added:	12 Jan 2021 11:33
Last Modified:	16 Aug 2021 14:09
URI:	https://irep.ntu.ac.uk/id/eprint/42011

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