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Multi-unit spike discrimination using wavelet transforms
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DOI：10.1016/S0010-4825(96)00038-8.png)
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Abstract
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A new spike discrimination procedure addressing the specific problem of spike superposition is described. The method, based on a shift-invariant wavelet transform and its amplitude-and-phase representation, has the advantage of both reducing the effect of noise present in the data and correcting the latency of specific components in a waveform. When spikes overlap and produce unknown patterns, the procedure extracts the constituent spikes and also estimates their exact time of occurrence. Fast implementation algorithms, having complexity of at most O(N log N), allow the use of the method in real-time applications. (C) 1997 Elsevier Science Ltd.
Keywords:
multi-unit spike train
spike discrimination
wavelet transform
shift-invariant transform
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