Combining synaptic and cellular resonance in a feed-forward neuronal network

Jonathan D. Drover, Vahid Tohidi, Amitabha Bose, Farzan Nadim

Research output: Contribution to journalArticlepeer-review

9 Scopus citations


We derive a mathematical theory to explain the subthreshold resonance response of a neuron to synaptic input. The theory shows how a neuron combines information from its intrinsic resonant properties with those of the synapse to determine the neuron's generalized resonance response. Our results show that the maximal response of a postsynaptic neuron can lie between the preferred intrinsic frequency of the neuron and the synaptic resonance frequency. We compare our theoretical results to parallel findings on experiments of the crab pyloric central pattern generator.

Original languageEnglish (US)
Pages (from-to)2041-2045
Number of pages5
Issue number10-12
StatePublished - Jun 2007

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Cognitive Neuroscience
  • Artificial Intelligence


  • Cellular resonance
  • Subthreshold oscillations
  • Synaptic resonance


Dive into the research topics of 'Combining synaptic and cellular resonance in a feed-forward neuronal network'. Together they form a unique fingerprint.

Cite this