Abstract: A method for programming a deep brain stimulator implanted in a target region of a brain of a living subject for optimal stimulation, wherein the deep brain stimulator comprises at least one electrode having a plurality of electrode contacts spaced apart from each other, and any portion of the brain of the living subject is identifiable by a set of corresponding spatial coordinates.

Abstract: A method for classifying microelectrode recording signals. In one embodiment, the method includes the steps of performing wavelet transforms on each of the microelectrode recording signals to compute corresponding wavelet coefficients, respectively, extracting features from the computed wavelet coefficients for each of the microelectrode recording signals, respectively, and classifying the extracted features so as to classify the microelectrode recording signals.

Abstract: A method of creating an atlas that contains electrophysiological information related to at least one of a plurality of living subjects. In one embodiment, the method includes the steps of choosing a brain image volume as a common image volume of reference, acquiring electrophysiological information for a target of interest, relating the acquired electrophysiological information to spatial coordinates in the brain image volume of the target of interest, and registering the brain image volume of the target of interest to the common image volume of reference so as to create an atlas in which any spatial coordinates of the brain of the target of interest are related to atlas coordinates in the atlas such that the acquired electrophysiological information associated with the related spatial coordinates in the brain image volume of the target of interest can be related to atlas coordinates in the atlas, and vice versa.