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Computationally Efficient Method in Predicting Axonal Excitation

Izad, Olivier
http://rave.ohiolink.edu/etdc/view?acc_num=case1232751033

Abstract Details

2009, Master of Engineering, Case Western Reserve University, Biomedical Engineering.
Active computer models of neurons are used to simulate neural behavior and are important tools for designing neural prostheses. Computation time remains an issue when simulating large numbers of neurons or applying models to real time applications. Prior linear algorithms have been shown to be inaccurate for a wide range of simulation parameters. We show that the activating function, a predictor extensively used in these algorithms, is largely dependent on the amplitude of the field, an aspect that was ignored. By taking the electric field potential into account, we have developed a more accurate and computationally efficient method to predict axonal behavior. Given the algebraic nature of our method, fast calculations of axonal behavior can be obtained.
Dustin Tyler, PhD (Committee Chair)
Camron McIntyre, PhD (Committee Co-Chair)
Kenneth Gustafson, PhD (Committee Co-Chair)
Anatomy and Physiology; Bioinformatics; Biomedical Research; Mathematics
activating function; Deep Brain Stimuatlion, DBS; Functional Electrical Stimulation, FES; NEURON; real time axon behavior algorithm; recruitment order; linear algorithm axon behavior

Recommended Citations

Citations

  • Izad, O. (2009). Computationally Efficient Method in Predicting Axonal Excitation [Master's thesis, Case Western Reserve University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=case1232751033

    APA Style (7th edition)

  • Izad, Olivier. Computationally Efficient Method in Predicting Axonal Excitation. 2009. Case Western Reserve University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=case1232751033.

    MLA Style (8th edition)

  • Izad, Olivier. "Computationally Efficient Method in Predicting Axonal Excitation." Master's thesis, Case Western Reserve University, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=case1232751033

    Chicago Manual of Style (17th edition)

case1232751033
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© 2009, all rights reserved.
This open access ETD is published by Case Western Reserve University School of Graduate Studies and OhioLINK.
Release 3.2.12