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Stochastic bursting in networks of excitable units with delayed coupling
- Source :
- Biological cybernetics. 116(2)
- Publication Year :
- 2021
-
Abstract
- We investigate the phenomenon of stochastic bursting in a noisy excitable unit with multiple weak delay feedbacks, by virtue of a directed tree lattice model. We find statistical properties of the appearing sequence of spikes and expressions for the power spectral density. This simple model is extended to a network of three units with delayed coupling of a star type. We find the power spectral density of each unit and the cross-spectral density between any two units. The basic assumptions behind the analytical approach are the separation of timescales, allowing for a description of the spike train as a point process, and weakness of coupling, allowing for a representation of the action of overlapped spikes via the sum of the one-spike excitation probabilities.
- Subjects :
- 0301 basic medicine
Coupling
Physics
Sequence
Stochastic Processes
General Computer Science
Spike train
Models, Neurological
Complex system
Spectral density
Action Potentials
Point process
03 medical and health sciences
Bursting
030104 developmental biology
0302 clinical medicine
Statistical physics
Noise
030217 neurology & neurosurgery
Lattice model (physics)
Biotechnology
Probability
Subjects
Details
- ISSN :
- 14320770
- Volume :
- 116
- Issue :
- 2
- Database :
- OpenAIRE
- Journal :
- Biological cybernetics
- Accession number :
- edsair.doi.dedup.....7961df1ab6b51dbf030581d9dda3dc59