Abstract
We present a phased array technique for discrimination of neuronal spikes from multi-channel recordings. We evaluated this new approach using simulated data. This approach enables discrimination of simulated spikes from multiple simultaneously active neurons with a high degree of reliability and robustness even in situations where there is heavy spike waveform superposition on the recording channels and the signal-to-noise ratio is less than 1.
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