Sparse data analysis strategy for neural spike classification

HIGHLIGHTS

• who: Vincent, Vigneron and IBISC-Lab, from the Universitu00e9 d`Eu0301vry Val d`Essonne, rue du Pelvoux, Courcouronnes, France Department of Electrical Engineering, National Tsing Hua University, No101, Sec2, Kuang-Fu Road, Hsin-Chu, Taiwan have published the research work: Sparse Data Analysis Strategy for Neural Spike Classification, in the Journal: (JOURNAL) of 31/07/2013
• what: To mitigate this nondetection, the authors propose a multiscale approach combining various levels of sparsity of the data. The seriation approach can be applied to any type of matrices but the authors focus in this work on dissimilarity . . .
  

   

  

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