Variance of filtered signals: characterization for linear reaction networks and application to neurotransmission dynamics
From MaRDI portal
Publication:2118488
DOI10.1016/j.mbs.2021.108760zbMath1486.92024OpenAlexW3210194640MaRDI QIDQ2118488
Ariane Ernst, Stephan J. Sigrist, Christof Schütte, Stefanie Winkelmann
Publication date: 22 March 2022
Published in: Mathematical Biosciences (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.mbs.2021.108760
cross-correlationchemical master equationlinear reaction networksLTI filterneurotransmission modelsvesicle fusion dynamics
Related Items
A Route to the Hydrodynamic Limit of a Reaction-Diffusion Master Equation Using Gradient Structures, Rate-limiting recovery processes in neurotransmission under sustained stimulation
Cites Work
- A stochastic analysis of first-order reaction networks
- Effect of neuromodulation of short-term plasticity on information processing in hippocampal interneuron synapses
- Solving the chemical master equation for monomolecular reaction systems analytically
- Handbook of stochastic methods for physics, chemistry and the natural sciences
- Approximation and inference methods for stochastic biochemical kinetics—a tutorial review
- Stochastic Dynamics in Computational Biology
- Theory of Input Spike Auto- and Cross-Correlations and Their Effect on the Response of Spiking Neurons
- Spike Train Statistics and Dynamics with Synaptic Input from any Renewal Process: A Population Density Approach
- Analysis, Simulation, and Optimization of Stochastic Vesicle Dynamics in Synaptic Transmission
- An Introduction to Statistical Signal Processing
