Monthly
288 pp. per issue
6 x 9, illustrated
ISSN
0899-7667
E-ISSN
1530-888X
2014 Impact factor:
2.21

Neural Computation

December 1, 2003, Vol. 15, No. 12, Pages 2843-2862
(doi: 10.1162/089976603322518768)
© 2003 Massachusetts Institute of Technology
Hybrid Integrate-and-Fire Model of a Bursting Neuron
Article PDF (707.25 KB)
Abstract

We present a reduction of a Hodgkin-Huxley (HH)–style bursting model to a hybridized integrate-and-fire (IF) formalism based on a thorough bifurcation analysis of the neuron's dynamics. The model incorporates HH-style equations to evolve the subthreshold currents and includes IF mechanisms to characterize spike events and mediate interactions between the subthreshold and spiking currents. The hybrid IF model successfully reproduces the dynamic behavior and temporal characteristics of the full model over a wide range of activity, including bursting and tonic firing. Comparisons of timed computer simulations of the reduced model and the original model for both single neurons and moderately sized networks (n ≤ 500) show that this model offers improvement in computational speed over the HH-style bursting model.