Temporal information transformed into a spatial code by a neural network with realistic properties

  title={Temporal information transformed into a spatial code by a neural network with realistic properties},
  author={DV Buonomano and M. M. Merzenich},
  pages={1028 - 1030}
Neurons exhibit a wide range of properties in addition to postsynaptic potential (PSP) summation and spike generation. Although other neuronal properties such as paired-pulse facilitation (PPF) and slow PSPs are well characterized, their role in information processing remains unclear. It is possible that these properties contribute to temporal processing in the range of hundreds of milliseconds, a range relevant to most complex sensory processing. A continuous-time neural network model based on… 

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