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We study the effect that the heterogeneity present among the elements of an ensemble of coupled excitable neurons has on the collective response of the system to an external signal. We consider two different interaction scenarios, one in which the neurons are diffusively coupled and another in which the neurons interact via pulse-like signals. We find that the type of interaction between the neurons has a crucial role in determining the response of the system to the external modulation. We develop a mean-field theory based on an order parameter expansion that quantitatively reproduces the numerical results in the case of diffusive coupling.
Neurons, Diversity, Excitability, Models, Statistical, Models, Neurological, Biophysics, FOS: Physical sciences, Biodiversity, Synchronization, Models, Theoretical, Models, Biological, Diffusion, Biological Physics (physics.bio-ph), Quantitative Biology - Neurons and Cognition, Oscillometry, FOS: Biological sciences, Animals, Humans, Computer Simulation, Neurons and Cognition (q-bio.NC), Physics - Biological Physics, Algorithms
Neurons, Diversity, Excitability, Models, Statistical, Models, Neurological, Biophysics, FOS: Physical sciences, Biodiversity, Synchronization, Models, Theoretical, Models, Biological, Diffusion, Biological Physics (physics.bio-ph), Quantitative Biology - Neurons and Cognition, Oscillometry, FOS: Biological sciences, Animals, Humans, Computer Simulation, Neurons and Cognition (q-bio.NC), Physics - Biological Physics, Algorithms
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