7/29/2019 digest_Feature detection in motor cortical spikes by
principal component analysis
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Feature Detection in Motor Cortical Spikes by Principal
Component Analysis
(paper)
Terms: Neural activity vector (NAV), PCA
Jie Fu
https://sites.google.com/site/bigaidream/
Experiment Procedure
1. (i.e. before closeloop BMI experiment), the rat was put in a
calibration session.2. One of the cue LEDs on either sides was
illuminated upon the start of a trail3. Two seconds later, the
retractable paddles extended. (The rat was expected to move the
light
toward the center by properly pressing the paddles). With each
press of the paddle, an
audible sound was produced in addition to the light being
shifted to the left or right,
corresponding to a right or left paddle press, respectively.
Neural activity vector (NAV)
[Adaptation in neural activity for directional control, IJCNN,
2007]
[KEY] NAVs consist of firing rates (frequencies) estimated by
counting spikes (action potentials)
observed in a window of time called a bin offset by a fixed time
from some task event. Multiple
time windows from multiple neurons are then concatenated into a
single vector (Fig. 3).
https://sites.google.com/site/bigaidream/https://sites.google.com/site/bigaidream/https://sites.google.com/site/bigaidream/
