Non-Markovian spiking statistics of a neuron with delayed feedback in presence of refractoriness
Spiking statistics of a self-inhibitory neuron is considered.The neuron receives excitatory input from a Poisson streamand inhibitory impulses through a feedback linewith a delay. After triggering, the neuron is in the refractorystate for a positive period of time. Recently, [...
Saved in:
Main Authors: | Kseniia Kravchuk, Alexander Vidybida |
---|---|
Format: | Article |
Language: | English |
Published: |
AIMS Press
2013-08-01
|
Series: | Mathematical Biosciences and Engineering |
Subjects: | |
Online Access: | https://www.aimspress.com/article/doi/10.3934/mbe.2014.11.81 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Consequences of non-Markovian healing processes on epidemic models with recurrent infections on networks
by: José Carlos M Silva, et al.
Published: (2025-01-01) -
Matrix measure-based exponential stability and synchronization of Markovian jumping QVNNs with time-varying delays and delayed impulses
by: Miao Zhang, et al.
Published: (2024-12-01) -
Introductory Statistics and Probability : a basis for decision making /
by: Blakeslee, David W.
Published: (1988) -
Introductory statistical analysis /
by: Harnett, Donald L.
Published: (1975) -
Non-Fragile H<sub>∞</sub> Deconvolution Filter Design for Uncertain Two-Dimensional Markovian Jump Systems With State-Varying Delays
by: Yakufu Kasimu, et al.
Published: (2025-01-01)