2. Principles of Computational Neuroscience

  1. Ranu Jung PhD3,4
  1. Sharmila Venugopal4,
  2. Sharon Crook1,4,
  3. Malathi Srivatsan2 and
  4. Ranu Jung PhD3,4

Published Online: 12 DEC 2011

DOI: 10.1002/9783527639366.ch2

Biohybrid Systems: Nerves, Interfaces, and Machines

Biohybrid Systems: Nerves, Interfaces, and Machines

How to Cite

Venugopal, S., Crook, S., Srivatsan, M. and Jung, R. (2011) Principles of Computational Neuroscience, in Biohybrid Systems: Nerves, Interfaces, and Machines (ed R. Jung), Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim, Germany. doi: 10.1002/9783527639366.ch2

Editor Information

  1. 3

    Florida International University, College of Engineering and Computing, Department of Biomedical Engineering, 10555 W. Flagler Street, EC 2602, Miami, FL 33174, USA

  2. 4

    Arizona State University, School of Biological and Health Systems Engineering, Center for Adaptive Neural Systems, Tempe, AZ 85287, USA

Author Information

  1. 1

    Arizona State University, School of Mathematical and Statistical Sciences and School of Life Sciences, Tempe, AZ 85287, USA

  2. 2

    Arkansas State University, Arkansas Biosciences Institute, Department of Biological Sciences, Jonesboro, AR 72401, USA

  3. 3

    Florida International University, College of Engineering and Computing, Department of Biomedical Engineering, 10555 W. Flagler Street, EC 2602, Miami, FL 33174, USA

  4. 4

    Arizona State University, School of Biological and Health Systems Engineering, Center for Adaptive Neural Systems, Tempe, AZ 85287, USA

Publication History

  1. Published Online: 12 DEC 2011
  2. Published Print: 19 OCT 2011

ISBN Information

Print ISBN: 9783527409495

Online ISBN: 9783527639366

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Keywords:

  • action potential;
  • biohybrid systems;
  • computational neuroscience;
  • neuronal modeling;
  • synaptic neuron;
  • synaptic cleft

Summary

This chapter contains sections titled:

  • Introduction

  • Some Physiology of Neurons

  • General Formalisms in Neuronal Modeling

  • Synaptic Coupling and Plasticity

  • Computational Models of Neuronal Systems for Biohybrid Applications

  • Resources

  • References