METHODS AND DEVICES FOR ANALYSIS OF CLUSTERED DATA, IN PARTICULAR ACTION POTENTIALS (I.E. NEURON FIRING SIGNALS IN THE BRAIN)

Methods for clustering of multi-dimensional data allow unsupervised grouping of multi-dimensional data points into clusters having like characteristics. The methods may be usefully applied to extracellular action potentials (neuronal spikes) measured from the brain, whereby spike data may be grouped in accordance with dimensions such as spike period, spike shape, etc., to assist in identification and location of individual neurons and/or regions of the brain.