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

Fabietti, M., Mahmud, M. ORCID: 0000-0002-2037-8348, Averna, A., Lotfi, A. ORCID: 0000-0002-5139-6565, 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

Full text not available from this repository.
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., Averna, A., Lotfi, A., Guggenmos, D., Nudo, R. and Chiappalone, M.
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 1 December 2020
ISBN: 9781728125473
Identifiers:
NumberType
10.1109/ssci47803.2020.9308165DOI
1398442Other
Divisions: Schools > School of Science and Technology
Record created by: Linda Sullivan
Date Added: 12 Jan 2021 11:33
Last Modified: 12 Jan 2021 11:33
URI: http://irep.ntu.ac.uk/id/eprint/42011

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