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The program offers the option to classify registered
spikes according to their signal form. To manage the large data sets
of neuronal recordings and to represent this data, NEV2lkit uses the
following sequential approach:
- Reducing the dimensionality of the spike signals using
Principal Component Analysis (PCA).
- Cluster analysis (based on KlustaKwik) which reduces
the number of the objects resulting from the first step by placing
them into units.
Part of the NEV2lkit Documentation - 2004©M.Bongard, D.Micol 25.09.2004