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EEG-based seizure detection models face challenges in terms of inference speed and memory efficiency, limiting their real-time implementation in clinical devices. This paper introduces a novel graph-based residual state update mechanism (REST) for re
Externí odkaz:
http://arxiv.org/abs/2406.16906
Neuroscience and neurotechnology are currently being revolutionized by artificial intelligence (AI) and machine learning. AI is widely used to study and interpret neural signals (analytical applications), assist people with disabilities (prosthetic a
Externí odkaz:
http://arxiv.org/abs/2204.02362
Autor:
Fatemi, Seyyedeh Nahaleh, Aghajan, Hamid, Vahabi, Zahra, Afzal, Arshia, Sedghizadeh, Mohammad Javad
Publikováno v:
In International Journal of Psychophysiology May 2022 175:43-53
Akademický článek
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Publikováno v:
Alzheimer's & Dementia: The Journal of the Alzheimer's Association; Dec2021 Supplement S5, Vol. 17, p1-3, 3p
Neuroscience and neurotechnology are currently being revolutionized by artificial intelligence (AI) and machine learning. AI is widely used to study and interpret neural signals (analytical applications), assist people with disabilities (prosthetic a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cbd29e05f495235788e77f175c3aace3
https://infoscience.epfl.ch/record/297770
https://infoscience.epfl.ch/record/297770