For two neurons coupled with mutual inhibition, we investigate the strategies that each neuron should utilize in order to maximize the number of spikes it can fire (or equivalently the amount of time it is active) before the other neuron takes over. We derive a one-dimensional map whose fixed points correspond to periodic anti-phase bursting solutions. The model here solves a novel double boundary value problem that can be used to obtain the graph of this map. Read More: http://www.worldscientific.com/doi/abs/10.1142/S0218127415400040
Model Type: Neuron or other electrically excitable cell
Cell Type(s): Abstract integrate-and-fire leaky neuron
Model Concept(s): Oscillations
Simulation Environment: XPPAUT
Implementer(s): Rubin, Jonathan E [jonrubin at pitt.edu]
References:
Bose A, Rubin JE. (2015). Strategies to Maximize Burst Lengths in Rhythmic Anti-Phase Activity of Networks with Reciprocal Inhibition International Journal of Bifurcation and Chaos. 25(07)