Classifying Intracortical Brain-Machine Interface Signal Disruptions Based on System Performance and Applicable Compensatory Strategies: A Review
نویسندگان
چکیده
منابع مشابه
A Brain-Machine Interface Instructed by Direct Intracortical Microstimulation
Brain-machine interfaces (BMIs) establish direct communication between the brain and artificial actuators. As such, they hold considerable promise for restoring mobility and communication in patients suffering from severe body paralysis. To achieve this end, future BMIs must also provide a means for delivering sensory signals from the actuators back to the brain. Prosthetic sensation is needed ...
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OBJECTIVE For intracortical brain-machine interfaces (BMIs), action potential voltage waveforms are often sorted to separate out individual neurons. If these neurons contain independent tuning information, this process could increase BMI performance. However, the sorting of action potentials ('spikes') requires high sampling rates and is computationally expensive. To explicitly define the diffe...
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ژورنال
عنوان ژورنال: Frontiers in Neurorobotics
سال: 2020
ISSN: 1662-5218
DOI: 10.3389/fnbot.2020.558987