Neural network models of the tactile system develop first-order units with spatially complex receptive fields

HIGHLIGHTS

• who: Charlie W. Zhao and colleagues from the Deptof Computer Science, Western Universityand Engineering Research Council of Canada have published the research work: Neural network models of the tactile system develop first-order units with spatially complex receptive fields, in the Journal: PLOS ONE | https://doi.org/10.1371/journal.pone [0199196]. June 14, 2018 of April/10,/2018
• what: The authors demonstrate that this complexity benefits network performance especially on more difficult tasks and in the presence of noise. The authors show that complex receptive fields arise under a wide range of training sets . . .
  

   

  

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