NEUROSCI 101 Lecture Notes - Lecture 21: Cochlear Implant, Neuroprosthetics, Feature Extraction

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17 May 2016
Brain Computer Interface (BCI) Discussion
General BCI framework
Brain activity measurement (fMRI, EEG) → feature extraction (biomarkers, coherance)
→ feature classification → BCI-based application (controlling a software, robot) OR
neurofeedback (visual, audible, haptic)
Measure brain waves first
Feature extraction - insert blood biomarkers
Feature classification - mathematical equation that analyzes results from feature
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
Cochlear implant
Visual implants: biosynthetic retina
Hippocampal prosthetics involve damage in the CA3 and CA1 regions of the
Animal’s hippocampal CA1 and CA3 regions are measured when it is doing the
delayed nonmatch response test (rat presses a lever, the levers disappear for a
delayed amount of time, then the rat has to go to the lever it didn’t press for the
This is a closed loop experiment: the system receives feedback to fine
tune results, accuracy first
The longer the delay, the worse the performance
Animals choose levers by chance
temporal/spatial layers of hippocampal results dictate whether the trial is
a strong or weak coded one; weak coded studies had worse performance
with longer delayed times than stronger coded ones
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