Dynamics and transitions of firing patterns in deterministic and stochastic neuronal systems
- 1. School of Science, Beijing University of Aeronautics and Astronautics, Beijing 100083 (China)
- 2. Institute of Space Medico-Engineering, P.O. Box 5104, Branch 15, Beijing 100094 (China)
Description
Some recent work on experimental and theoretical studies on complex firing patterns of neurons and their dynamical mechanisms is reviewed. At first, experimental results on various neural firings and the bifurcation scenarios of ISI series are discovered in neural pacemakers. Next, a thorough analysis on dynamical behaviour and transitions of neuronal firing patterns, including the period-adding bursting sequence without chaos, the integer multiple firing and GWN-induced firing activities, are demonstrated in both the deterministic and stochastic Chay neuronal systems by means of the bifurcation theory and fast/slow dynamics. Finally, the parameter regions for different types of bursting as well as their transitions in the Chay and ML neuronal systems are presented.
Availability note (English)
Available from http://dx.doi.org/10.1016/j.chaos.2007.08.040Additional details
Identifiers
- DOI
- 10.1016/j.chaos.2007.08.040;
- PII
- S0960-0779(07)00615-7;
Publishing Information
- Journal Title
- Chaos, Solitons and Fractals
- Journal Volume
- 40
- Journal Issue
- 2
- Journal Page Range
- p. 577-597
- ISSN
- 0960-0779
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 41008854
- Subject category
- S97: MATHEMATICAL METHODS AND COMPUTING;
- Descriptors DEI
- BIFURCATION; CARDIAC PACEMAKERS; CHAOS THEORY; NERVE CELLS; STOCHASTIC PROCESSES
- Descriptors DEC
- ANIMAL CELLS; MATHEMATICS; SOMATIC CELLS
Optional Information
- Copyright
- Copyright (c) 2007 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.