Depression identification using EEG signals via a hybrid of LSTM and spiking neural networks

Sam, A, Boostani, R, Hashempour, S, Taghavi, M and Sanei, S ORCID: https://orcid.org/0000-0002-3437-2801, 2023. Depression identification using EEG signals via a hybrid of LSTM and spiking neural networks. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 31, 4725 - 4737. ISSN 1534-4320

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Item Type:	Journal article
Publication Title:	IEEE Transactions on Neural Systems and Rehabilitation Engineering
Creators:	Sam, A., Boostani, R., Hashempour, S., Taghavi, M. and Sanei, S.
Publisher:	Institute of Electrical and Electronics Engineers (IEEE)
Date:	December 2023
Volume:	31
ISSN:	1534-4320
Identifiers:	Number Type 10.1109/tnsre.2023.3336467 DOI 1897224 Other
Divisions:	Schools > School of Science and Technology
Record created by:	Melissa Cornwell
Date Added:	24 May 2024 09:05
Last Modified:	24 May 2024 09:05
URI:	https://irep.ntu.ac.uk/id/eprint/51473

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