Background noise and spike overlap pose problems in contemporary spike-sorting strategies. In this paper, both issues are addressed by a hybrid scheme that combines the robust representation of spike waveforms to facilitate the reliable identification of contributing neurons with efficient data learning to enable the precise decomposition of coactivations.

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Starting from March 2010 the BCCN PhD program will be conducted in the framework of the Research Training Group “Sensory Computation in Neural Systems” (GRK 1598/1). Read the rest of this entry…

May 31 – July 29, 2011.  Applications are invited for an intensive summer program of hands-on training to introduce undergraduate students to the principles and techniques of computational neuroscience. Read the rest of this entry…

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