Combining synaptic and cellular resonance in a feed-forward neuronal network
Document Type
Article
Publication Date
6-1-2007
Abstract
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. © 2006 Elsevier B.V. All rights reserved.
Identifier
34247478434 (Scopus)
Publication Title
Neurocomputing
External Full Text Location
https://doi.org/10.1016/j.neucom.2006.10.135
ISSN
09252312
First Page
2041
Last Page
2045
Issue
10-12
Volume
70
Grant
DMS-0315862
Fund Ref
National Science Foundation
Recommended Citation
Drover, Jonathan D.; Tohidi, Vahid; Bose, Amitabha; and Nadim, Farzan, "Combining synaptic and cellular resonance in a feed-forward neuronal network" (2007). Faculty Publications. 13429.
https://digitalcommons.njit.edu/fac_pubs/13429
