Recent Studies of Stochastic Processes in Mathematical Biology
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Mathematical Biology".
Deadline for manuscript submissions: closed (30 June 2023) | Viewed by 406
Special Issue Editors
Interests: brain; cellular biophysics; drug delivery systems; lipid bilayers; nanomedicine; neurophysiology; bioelectric phenomena; biological effects of fields; biomedical MRI; biomedical materials; biomembranes; diseases; drugs; learning (artificial intelligence); medical disorders; medical image processing; molecular biophysics; patient diagnosis; patient monitoring; smart phones; transcranial magnetic stimulation; audio signal processing; biodiffusion; biological tissues; biomagnetism
Special Issues, Collections and Topics in MDPI journals
Interests: statistical device modelling and simulation; cyber-physical system simulation; linear and nonlinear system identification; nonlinear stochastic systems; digital signal processing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Biological systems are characterized by an intrinsic noisy behaviour. This is true at each level of biological complexity, from macromolecules up to organs, apparatuses and whole complex organisms. Let us think of the neuronal system, where the major sources of noise are the randomness of the time sequence of action potentials in presynaptic neurons, the stochastic behaviour of synaptic mechanisms (synaptic noise), and the probabilistic gating of both voltage‐ and ligand‐dependent ion channels (channel noise). In several cases, this intrinsic stochastic behaviour has been shown to enhance the detectability of weak sensorial stimuli through the stochastic resonance phenomenon.
Therefore, to capture the stochastic dynamics and to realistically model such biological systems, it is necessary to make use of mathematical tools based on stochastic processes.
This Special Issue focuses on stochastic processes applied to biological systems, at different complexity scales, with special regard (but not limited) to the nervous system.
We invite researchers from academia and industry to present their recent and unpublished studies in this Special Issue. This will help to share knowledge and to foster future research in the field.
Dr. Alessandra Paffi
Prof. Dr. Simone Orcioni
Guest Editors
Manuscript Submission Information
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Keywords
- stochastic dynamics
- mathematical and computational biology
- linear and non-linear stochastic process models
- biological systems
