Data-driven inference for stationary jump-diffusion processes with application to membrane voltage fluctuations in pyramidal neurons

Data-driven inference for stationary jump-diffusion processes with application to membrane voltage fluctuations in pyramidal neurons

Abstract The emergent activity of biological systems can often be represented as low-dimensional, Langevin-type stochastic differential equations. In certain systems, however, large and abrupt events occur and violate the assumptions of this approach. We address this situation here by providing a no...

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Bibliographic Details
Main Authors: Alexandre Melanson, André Longtin
Format: Article
Language:English
Published: SpringerOpen 2019-07-01
Series:Journal of Mathematical Neuroscience
Subjects:
Stochastic differential equations
Jump-diffusion processes
Membrane noise
Channel noise
Electric fish
Pyramidal neurons
Online Access:http://link.springer.com/article/10.1186/s13408-019-0074-3

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http://link.springer.com/article/10.1186/s13408-019-0074-3

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