Skip to main content

Neuronal Parameter Sensitivity

  • Living reference work entry
  • First Online:
Encyclopedia of Computational Neuroscience
  • 215 Accesses

Definition

Sensitivity of a quantity to a parameter at a fixed point of the parameter space measures the relative change of the quantity in relation to a relative change of the parameter. There are two interrelated formal definitions of sensitivity.

Consider a real-valued function C = C(p) of a real variable p. Let C(p) be defined for the two values of p, p = p 0 and p = p 0 + Δp, where Δp is some number. Then sensitivity S of C = C(p) to the change of p from p 0 to p 0 + Δp is defined as

$$ S=\frac{C\left({p}_0+\Delta p\right)-C\left({p}_0\right)}{C\left({p}_0\right)}\div \frac{\Delta p}{p_0}. $$
(1)

For example, S = 2 means that the relative increase of C(p) from C(p 0) to C(p 0 + Δp) is two times the relative increase of p from p 0 to p 0 + Δp. Notice that in Eq. 1, the value of S depends on p 0 and Δp and there are no other requirements to C(p) except for it being defined for p = p 0 and p = p 0 + Δp.

If the function C = C(p) is differentiable at p 0, then S is defined as

$$...

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

Access this chapter

Institutional subscriptions

References

  • Atkinson KE (1989) An introduction to numerical analysis, 2nd edn. Wiley, New York

    Google Scholar 

  • Conway J (1990) A course in functional analysis, 2nd edn. Graduate texts in mathematics, Springer, New York, NY

    Google Scholar 

  • Hartman P (1964) Ordinary differential equations, 2nd edn, Classics in applied mathematics. SIAM, Philadelphia

    Google Scholar 

  • Hudson AE, Prinz AA (2010) Conductance ratios and cellular identity. PLoS Comput Biol 6:e1000838. doi:10.1371/journal.pcbi.1000838

    Article  PubMed Central  PubMed  Google Scholar 

  • Izhikevich E (2010) Dynamical systems in neuroscience: the geometry of excitability and bursting, Computational neuroscience. The MIT Press, Cambridge, MA

    Google Scholar 

  • Khorkova O, Golowasch J (2007) Neuromodulators, not activity, control coordinated expression of ionic currents. J Neurosci 27:8709–8718

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  • Lamb DG, Calabrese RL (2012) Small is beautiful: models of small neuronal networks. Curr Opin Neurobiol 22:670–675. doi:10.1016/j.conb.2012.01.010, Epub 2012 Feb 22

    Article  CAS  PubMed  Google Scholar 

  • Olypher AV, Calabrese RL (2007) Using constraints on neuronal activity to reveal compensatory changes in neuronal parameters. J Neurophysiol 98:3749–3758

    Article  PubMed  Google Scholar 

  • Thomas, GBJ, Weir MD, Hass JR (2009) Thomas’ calculus, early transcendentals, 12th edn. Pearson. Boston, MA

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to A. V. Olifer .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer Science+Business Media New York

About this entry

Cite this entry

Olifer, A.V. (2014). Neuronal Parameter Sensitivity. In: Jaeger, D., Jung, R. (eds) Encyclopedia of Computational Neuroscience. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-7320-6_172-1

Download citation

  • DOI: https://doi.org/10.1007/978-1-4614-7320-6_172-1

  • Received:

  • Accepted:

  • Published:

  • Publisher Name: Springer, New York, NY

  • Online ISBN: 978-1-4614-7320-6

  • eBook Packages: Springer Reference Biomedicine and Life SciencesReference Module Biomedical and Life Sciences

Publish with us

Policies and ethics