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 < or = 500) show that this model offers improvement in computational speed over the HH--style bursting model.
journal_name
Neural Computjournal_title
Neural computationauthors
Breen BJ,Gerken WC,Butera RJ Jrdoi
10.1162/089976603322518768subject
Has Abstractpub_date
2003-12-01 00:00:00pages
2843-62issue
12eissn
0899-7667issn
1530-888Xjournal_volume
15pub_type
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