NEUROSCI 101 Lecture Notes - Lecture 21: Cochlear Implant, Neuroprosthetics, Feature Extraction
17 May 2016
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Document Summary
Brain activity measurement (fmri, eeg) feature extraction (biomarkers, coherance) Feature classification bci-based application (controlling a software, robot) or neurofeedback (visual, audible, haptic) Feature classification - mathematical equation that analyzes results from feature extraction. Applications: neuroprosthetics, gaming w/ biofeedback, controlling a mechatronic device, interacting w/i vr environment, communication through thoughts. Neuroprosthetics: brain implanted device that is used to perform mathematical calculations that make sense of input vs output. Hippocampal prosthetics involve damage in the ca3 and ca1 regions of the hippocampus. This is a closed loop experiment: the system receives feedback to fine tune results, accuracy first. The longer the delay, the worse the performance.
