The signals of many neurons in a local region were picked up by electrode, in the multi-unit extracellular recordings. Identification and classification of spike events were the first step in all multiple spike train data analyses. High levels of correlated neural noise and superpositions of waveforms were the two difficulties in spike sorting.
The manual neural network has become more and more important as a classifier. Learning from the environment adaptively and generalizing were the ...
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