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Encyclopedia of Computational Neuroscience pp 1–6Cite as

Transfer Function, Electrocortical

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Definition

An electrocortical transfer function derives from the linearization of an electrocortical model about one of its equilibrium points. Such transfer functions determine the characteristics of the frequency content of simulated electrocortical activities in response to input noise(s) to the model.

Detailed Description

For a nonlinear system that started in a stable equilibrium state, small amplitude noise will result in the system fluctuating about this equilibrium state. Characteristics of the fluctuations can be well approximated by linearizing the system about its equilibrium state. The spectra of the fluctuations of the linearized system can be expressed in closed-form mathematical formulas. Analytically expressing the spectra of system fluctuations lets us formulate the effects of a given parameter of the system on system fluctuations. In the following, theoretical and practical aspects of linearization of nonlinear electrocortical models are presented using a simple model...

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References

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Author information

Authors and Affiliations

  1. Clinical Neurophysiology Department, Salengro Hospital, University of Lille 2, Lille, France

    Dr. Behnam Molaee-Ardekani

  2. CHRU Salengro Hospital (Clinical Neurophysiology Center), Lille, France

    Dr. Behnam Molaee-Ardekani

  3. INSERM, U1099, Rennes, France

    Prof. Fabrice Wendling

  4. Université de Rennes 1, LTSI, Rennes, France

    Prof. Fabrice Wendling

Authors
  1. Dr. Behnam Molaee-Ardekani
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  2. Prof. Fabrice Wendling
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Corresponding author

Correspondence to Behnam Molaee-Ardekani .

Editor information

Editors and Affiliations

  1. Atlanta, Georgia, USA

    Dieter Jaeger

  2. Department of Biomedical Engineering, Florida International University, Miami, Florida, USA

    Ranu Jung

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© 2013 Springer Science+Business Media New York

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Molaee-Ardekani, B., Wendling, F. (2013). Transfer Function, Electrocortical. In: Jaeger, D., Jung, R. (eds) Encyclopedia of Computational Neuroscience. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-7320-6_79-1

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  • DOI: https://doi.org/10.1007/978-1-4614-7320-6_79-1

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  • 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

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