Learning hetero-synaptic delays for motion detection in a single layer of spiking neurons

HIGHLIGHTS

• who: Antoine Grimaldi and Laurent U Perrinet from the Institut Neurosciences la Timone (UMR, ) have published the research work: Learning hetero-synaptic delays for motion detection in a single layer of spiking neurons, in the Journal: (JOURNAL)
• what: Most artificial neuronal models do not take advantage of this minute temporal dimension and here the authors develop model for the efficient detection of temporal spiking motifs based layer of neurons with hetero-synaptic delays. The authors show this can be formalized as time-invariant logistic regression which can be trained using labelled data. The authors develop . . .
  

   

  

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