Ghost Stochastic Resonance for a Neuron with a Pair of Periodic Inputs

  • Maria Teresa Giraudo
  • Laura Sacerdote
  • Alessandro Sicco
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4729)


A small network like that proposed in [8] and [9] is studied when a pair of periodic signals are carried by the two different input neurons to verify the arising of ghost stochastic resonance phenomena in the third processing neuron. Suitable modifications of the stochastic leaky integrate-and-fire model are employed to describe the membrane potential of the input neurons while the processing neuron is modeled by means of a jump-diffusion process. A stochastic resonance behavior is detected for the processing neuron in correspondence with the ”ghost” frequencies both in the harmonic and in the anharmonic case. The range of parameter values under which this behavior occurs is specified and an interpretation of the coincidence detection mechanism involved is provided.


Leaky integrate-and-fire model fundamental frequency jump-diffusion process coincidence detection 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Maria Teresa Giraudo
    • 1
  • Laura Sacerdote
    • 1
  • Alessandro Sicco
    • 1
  1. 1.Dept. of Mathematics University of Torino, Via C.Alberto 10, 10123 TorinoItaly

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