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A two-state neuronal model with alternating exponential excitation

We develop a stochastic neural model based on point excitatory inputs. The nerve cell depolarisation is determined by a two-state point process corresponding the two states of the cell. The model presumes state-dependent excitatory stimuli amplitudes and decay rates of membrane potential. The state...

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Detalles Bibliográficos
Autor Principal: Ratanov, Nikita
Formato: Artículo (Article)
Lenguaje:Inglés (English)
Publicado: American Institute of Mathematical Sciences 2019
Materias:
Decay (organic)
Depolarization
Excited states
Laplace transforms
Neurons
Stochastic systems
Time switches
Asymptotical behaviour
First passage time
Laplace transform techniques
Membrane potentials
Neural activity
Neural modeling
Neuronal model
State-dependent
Stochastic models
Article
Excitation
Laplace transform
Membrane potential
Nerve cell
Probability
Stochastic model
Firing probability
Jump-telegraph process
Acceso en línea:https://repository.urosario.edu.co/handle/10336/22559
https://doi.org/10.3934/mbe.2019171

Internet

https://repository.urosario.edu.co/handle/10336/22559
https://doi.org/10.3934/mbe.2019171

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