The Jacobi diffusion process as a neuronal model

DOI10.1063/1.5051494zbMath1400.92090OpenAlexW2898217265WikidataQ58589798 ScholiaQ58589798MaRDI QIDQ4556543

Massimiliano Tamborrino, Giuseppe D'Onofrio, Petr Lansky

Publication date: 16 November 2018

Published in: Chaos: An Interdisciplinary Journal of Nonlinear Science (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/2318/1702583

Mathematics Subject Classification ID

Neural biology (92C20) Applications of Brownian motions and diffusion theory (population genetics, absorption problems, etc.) (60J70)

Related Items (8)

Inhibition enhances the coherence in the Jacobi neuronal model ⋮ On the Kemeny time for continuous-time reversible and irreversible Markov processes with applications to stochastic resetting and to conditioning towards forever-survival ⋮ Dirichlet form analysis of the Jacobi process ⋮ A stochastic Schumacher diffusion process: probability characteristics computation and statistical analysis ⋮ Jacobi Processes with Jumps as Neuronal Models: A First Passage Time Analysis ⋮ Transient dynamics of Pearson diffusions facilitates estimation of rate parameters ⋮ Quantifying uncertainty with a derivative tracking SDE model and application to wind power forecast data ⋮ Input-output consistency in integrate and fire interconnected neurons

Uses Software

• R
• hypergeo

Cites Work

• Unnamed Item
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