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Simulation of Cortical Epileptic Discharge Using Freeman’s KIII Model

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Computational Vision and Bio Inspired Computing

Part of the book series: Lecture Notes in Computational Vision and Biomechanics ((LNCVB,volume 28))

Abstract

Advancements in Neuroscience have put forth many networks that are able to mimic cortical activity. One such biologically motivated network is the Freeman KIII Model. The Freeman KIII model is based on the mammalian olfactory system dynamics. It consists of a collection of second-order non-linear differential equations. This paper attempts to solve the equations using MATLAB in order to simulate cortical electroencephalographic (EEG) signals. We also attempt to simulate cortical epileptic discharge using this model. The degenerate state of epileptic seizure is analyzed by obtaining its frequency using the power spectrum and by plotting the phase plots.

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Author information

Authors and Affiliations

  1. Department of Electronics and Communication Engineering, Amrita School of Engineering, Bengaluru, Amrita Vishwa Vidyapeetham, Bengaluru, India

    Pooja Vijaykumar & R. Sunitha

  2. Former Head of Department of Psychopharmacology, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, India

    N. Pradhan

  3. Department of Electrical and Electronics Engineering, R. V. College of Engineering, Bengaluru, India

    A. Sreedevi

Authors
  1. Pooja Vijaykumar
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  2. R. Sunitha
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  3. N. Pradhan
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  4. A. Sreedevi
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Corresponding author

Correspondence to R. Sunitha .

Editor information

Editors and Affiliations

  1. Karunya University , Coimbatore, Tamil Nadu, India

    D. Jude Hemanth

  2. RVS Technical Campus, Coimbatore, Tamil Nadu, India

    S. Smys

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Vijaykumar, P., Sunitha, R., Pradhan, N., Sreedevi, A. (2018). Simulation of Cortical Epileptic Discharge Using Freeman’s KIII Model. In: Hemanth, D., Smys, S. (eds) Computational Vision and Bio Inspired Computing . Lecture Notes in Computational Vision and Biomechanics, vol 28. Springer, Cham. https://doi.org/10.1007/978-3-319-71767-8_24

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  • DOI: https://doi.org/10.1007/978-3-319-71767-8_24

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-71766-1

  • Online ISBN: 978-3-319-71767-8

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