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.
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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