Parameter-sweeping Techniques for Temporal Dynamics of Neuronal Systems: Case Study of Hindmarsh-Rose Model
Background: Development of effective and plausible numerical tools is an imperative task for thorough studies of nonlinear dynamics in life science applications.
Results: We have developed a complementary suite of computational tools for twoparameter screening of dynamics in neuronal models. We test a ‘brute-force’ effectiveness of neuroscience plausible techniques specifically tailored for the examination of temporal characteristics, such duty cycle of bursting, interspike interval, spike number deviation in the phenomenological Hindmarsh-Rose model of a bursting neuron and compare the results obtained by calculus-based tools for evaluations of an entire spectrum of Lyapunov exponents broadly employed in studies of nonlinear systems.
Conclusions: We have found that the results obtained either way agree exceptionally well, and can identify and differentiate between various fine structures of complex dynamics and underlying global bifurcations in this exemplary model. Our future planes are to enhance the applicability of this computational suite for understanding of polyrhythmic bursting patterns and their functional transformations in small networks.
Barrio, R. & Shilnikov, A. Parameter-sweeping techniques for temporal dynamics of neuronal systems: Case study of Hindmarsh-Rose model. Journal of Mathematical Neuroscience (2011) 1:6. doi: 10.1186/2190-8567-1-6
Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.
This article was originally published in The Journal of Mathematical Neuroscience. It is posted here with the permission of the author.
Copyright © 2011 Barrio, Shilnikov; licensee Springer. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.