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Titlebook: Brain-Computer Interface Research; A State-of-the-Art S Christoph Guger,Brendan Allison,Mikhail Lebedev Book 2017 The Author(s) 2017 BCI Pr

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發(fā)表于 2025-3-28 16:44:54 | 只看該作者
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發(fā)表于 2025-3-28 19:28:46 | 只看該作者
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發(fā)表于 2025-3-29 02:57:49 | 只看該作者
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發(fā)表于 2025-3-29 06:38:51 | 只看該作者
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發(fā)表于 2025-3-29 09:29:11 | 只看該作者
Visual Cue-Guided Rat Cyborg,pecific motion automatically in response to a detected object, such as turning left. A single stimulus does not allow the rat to perform a motion successfully. Inspired by the fact that humans usually give a series of stimuli to a rat robot, we develop a closed-loop model that issues a stimulus sequ
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發(fā)表于 2025-3-29 11:59:34 | 只看該作者
Predicting Motor Intentions with Closed-Loop Brain-Computer Interfaces,d by the BCI, who had been trained to predict from the LRP in the ongoing EEG which hand the subject would move at the end of the countdown. Hence, in both experiments a key feature of the BCI was its closed-loop nature, that is the ability to predict the motor intention in real-time and provide an
47#
發(fā)表于 2025-3-29 16:19:33 | 只看該作者
Towards Online Functional Brain Mapping and Monitoring During Awake Craniotomy Surgery Using ECoG-Bapping: movement related cortical potential, steady-state somatosensory evoked potential, event-related (de)synchronization. The proposed BSI system may provide a considerable advantage for clinical brain surgery applications.
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