Intrinsic modulation of pulse-coupled integrate-and-fire neurons
Open Access
- 1 November 1997
- journal article
- research article
- Published by American Physical Society (APS) in Physical Review E
- Vol. 56 (5) , 5809-5818
- https://doi.org/10.1103/physreve.56.5809
Abstract
Intrinsic neuromodulation is observed in sensory and neuromuscular circuits and in biological central pattern generators. We model a simple neuronal circuit with a system of two pulse-coupled integrate-and-fire neurons and explore the parameter regimes for periodic firing behavior. The inclusion of biologically realistic features shows that the speed and onset of neuronal response plays a crucial role in determining the firing phase for periodic rhythms. We explore the neurophysiological function of distributed delays arising from both the synaptic transmission process and dendritic structure as well as discrete delays associated with axonal communication delays. Bifurcation and stability diagrams are constructed with a mixture of simple analysis, numerical continuation and the Kuramoto phase-reduction technique. Moreover, we show that, for asynchronous behavior, the strength of electrical synapses can control the firing rate of the system.Keywords
This publication has 38 references indexed in Scilit:
- Intrinsic neuromodulation: altering neuronal circuits from withinTrends in Neurosciences, 1996
- Anti-phase solutions in relaxation oscillators coupled through excitatory interactionsJournal of Mathematical Biology, 1995
- Time structure of the activity in neural network modelsPhysical Review E, 1995
- Mechanisms for oscillation and frequency control in reciprocally inhibitory model neural networksJournal of Computational Neuroscience, 1994
- Subharmonic Coordination in Networks of Neurons with Slow ConductancesNeural Computation, 1994
- Neuronal control of swimming locomotion: analysis of the pteropod mollusc Clione and embryos of the amphibian XenopusTrends in Neurosciences, 1993
- Alternating and Synchronous Rhythms in Reciprocally Inhibitory Model NeuronsNeural Computation, 1992
- Collective synchronization of pulse-coupled oscillators and excitable unitsPhysica D: Nonlinear Phenomena, 1991
- Synchronization of Pulse-Coupled Biological OscillatorsSIAM Journal on Applied Mathematics, 1990
- Chemical Oscillations, Waves, and TurbulencePublished by Springer Nature ,1984