Skip to main content

Saddle-Node Collisions

  • Chapter
  • First Online:
An Introduction to Modeling Neuronal Dynamics

Part of the book series: Texts in Applied Mathematics ((TAM,volume 66))

  • 4776 Accesses

Abstract

Model neurons, as well as real neurons, don’t fire when they receive little or no input current, but fire periodically when they receive strong input current. The transition from rest to firing, as the input current is raised, is called a bifurcation. In general, a bifurcation is a sudden qualitative change in the solutions to a differential equation, or a system of differential equations, occurring as a parameter, called the bifurcation parameter in this context, is moved past a threshold value, also called the critical value. (To bifurcate, in general, means to divide or fork into two branches. This suggests that in a bifurcation, one thing turns into two. This is indeed the case in some bifurcations, but not in all.) Because the variation of drive to a neuron is the primary example we have in mind, we will denote the bifurcation parameter by I, and its threshold value by I c , in this chapter.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 84.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Bibliography

  1. J. S. Griffith, Mathematical Neurobiology, Academic Press, 1971.

    Google Scholar 

  2. M. W. Hirsch, S. Smale, and R. L. Devaney, Differential Equations, Dynamical Systems, and an Introduction to Chaos, Academic Press, 2012.

    Google Scholar 

  3. S. H. Strogatz, Nonlinear Dynamics and Chaos, Westview Press, 2nd ed., 2015.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

1 Electronic Supplementary Material

Below is the link to the electronic supplementary material.

(ZIP 160 KB)

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this chapter

Cite this chapter

Börgers, C. (2017). Saddle-Node Collisions. 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_11

Download citation

Publish with us

Policies and ethics