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Revision 1.00 / LB-1070 – NeuroPort Biopotential Signal Processing System IFU
© 2021 Blackrock Microsystems, LLC
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Auto Thresholding
This window allows the user to specify the auto thresholding properties for spike
detection.
Threshold Multiplier
: To register as a spike event, signal energy between 1 and
5 kHz must exceed the energy of the noise by a factor of the threshold multiplier
level.
Channel
: Applies noise boundary properties to this channel.
Dimensions of the Ellipsoid
: Radius of the noise ellipsoid in the along each
axis.
Center of Ellipsoid
: Center of the noise ellipsoid in cartesian coordinates.
Rotation of Ellipsoid
: Rotation angle of the noise ellipsoid around each axis.
Spike Sorting
The Spike Sorting Properties Window allows the user to specify the rules and
settings for the spike sorting algorithms. The default settings are recommended
but altered settings may produce better results in unique use cases. Four spike
sorting methods are available: Manual PCA, k-means PCA, DBSCAN PCA, and
Histogram Peak Count. Each method is described below.
Manual PCA
Manual PCA uses principle component analysis to generate a feature
point for each spike event. The user manually defines unit classifications
by drawing an ellipsoid around each cluster of feature points within the
feature space.
Wave Basis Size
: The number of waveforms to use to calculate the PCA
basis vectors.
Update Basis Multiplier
: The PCA basis vectors will be recalculated
after the number of samples exceeds the basis size times the basis
multiplier. Zero means don’t recalculate.
k-means PCA
k-means PCA algorithms automatically generate ellipsoids around k
number of clusters to sort recorded units.
Wave Basis Size
: The number of waveforms to use to calculate the PCA
basis vectors.
Update Basis Multiplier
: The PCA basis vectors will be recalculated
after the number of samples exceeds the basis size times the basis
multiplier. Zero means don’t recalculate.
Outlier Removal
: Removes outliers exceeding this number of standard
deviations from the centroid of each group.
Minimum Group Size
: Remove any groups that have fewer than this
number of spikes.