Abstract
A neuron is said to be of bifurcation type 2 if the transition that occurs as I crosses I c is a Hopf bifurcation [47, 75, 129]. Examples of model neurons of bifurcation type 2 include the classical Hodgkin-Huxley model, and the Erisir model described in Section 5.3 The Hopf bifurcation in the classical Hodgkin-Huxley model is analyzed in great detail in [67]. For numerical evidence that the transition from rest to firing in the Erisir model involves a subcritical Hopf bifurcation, see [17], and also Fig. 17.9.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Bibliography
C. Börgers and B. Walker, Toggling between gamma-frequency activity and suppression of cell assemblies, Frontiers in Computational Neuroscience, 7, doi: 10.3389/fncom.2013.00033 (2013).
G. B. Ermentrout, Type I membranes, phase resetting curves, and synchrony, Neural Comp., 8 (1996), pp. 879–1001.
J. Guckenheimer and M. Myers, Computing Hopf bifurcations. II: Three examples from Neurophysiology, SIAM J. Sci. Comput., 17 (1996), pp. 1275–1301.
A. L. Hodgkin, The local changes associated with repetitive action in a non-medullated axon, J. Physiol. (London), 107 (1948), pp. 165–181.
J. Rinzel and G. B. Ermentrout, Analysis of neural excitability and oscillations, in Methods in Neuronal Modeling, C. Koch and I. Segev, eds., Cambridge, MA, 1998, MIT Press, pp. 251–292.
N. S. Simonović, Calculations of periodic orbits: the monodromy method and application to regularized systems, Chaos, 9 (1999), pp. 854–864.
Author information
Authors and Affiliations
1 Electronic Supplementary Material
Below is the link to the electronic supplementary material.
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this chapter
Cite this chapter
Börgers, C. (2017). Model Neurons of Bifurcation Type 2. In: An Introduction to Modeling Neuronal Dynamics. Texts in Applied Mathematics, vol 66. Springer, Cham. https://doi.org/10.1007/978-3-319-51171-9_14
Download citation
DOI: https://doi.org/10.1007/978-3-319-51171-9_14
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-51170-2
Online ISBN: 978-3-319-51171-9
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)