Cognitive frontiers: neurotechnology and global internet governance. [PDF]
Front Digit HealthRadu R.
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Ethics and Governance of Neurotechnology in Africa: Lessons From AI. [PDF]
JMIR NeurotechnolEke D.
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Reproducible supervised learning-assisted classification of spontaneous synaptic waveforms with Eventer. [PDF]
Front NeuroinformWinchester G +5 more
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Automated versus human scoring of the Rey-Osterrieth Complex Figure Test: a rapid review. [PDF]
Front PsychiatryAndersen SL, Lundervold AJ, Ronold EH.
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Gastrocsoleus lengthening in combination with tibialis anterior tendon shortening for equinus deformity in children with cerebral palsy: a systematic review. [PDF]
Syst RevModi D, Gould D, Ye K, Graham K, Rutz E.
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TriNet-MTL: A Multi-Branch Deep Learning Framework for Biometric Identification and Cognitive State Inference from Auditory-Evoked EEG. [PDF]
eNeuroFatima N, Nabi G.
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Advocating for neurodata privacy and neurotechnology regulation
Nature Protocols, 2023The ability to record and alter brain activity by using implantable and nonimplantable neural devices, while poised to have significant scientific and clinical benefits, also raises complex ethical concerns. In this Perspective, we raise awareness of the ability of artificial intelligence algorithms and data-aggregation tools to decode and analyze data
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Core principles for the implementation of the neurodata without borders data standard
Journal of Neuroscience Methods, 2021The Neurodata Without Borders data standard (NWB) unifies diverse modalities of neurophysiology data in a single format. Integrating NWB with a database unleashes its full potential to promote collaboration, standardize analyses, capitalize on historical data, and ensures data integrity by maintaining process transparency.
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