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Quantitative neurophysiology

Quantitative Neurophysiology is supplementary text for a junior or senior level course in neuroengineering. It may also serve as an quick-start for graduate students in engineering, physics or neuroscience as well as for faculty interested in becoming familiar with the basics of quantitative neurosc...

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Bibliographic Details
Main Author: Tranquillo, Joseph Vincent, 1975-
Format: Electronic
Language:English
Published: San Rafael, Calif. (1537 Fourth St, San Rafael, CA 94901 USA) : Morgan & Claypool Publishers, c2008.
Series:Synthesis lectures on biomedical engineering, #21.
Subjects:
Neurophysiology.
Neurosciences.
Online Access:Abstract with links to resource
Table of Contents:
  • Neural anatomy
  • The neuron
  • Glial cells
  • The brain
  • Passive membranes
  • Cellular electrophysiology
  • Stimulating the passive membrane
  • Strength-duration relationship
  • The membrane at rest
  • Numerical methods : the Euler method
  • Active membranes
  • The Hodgkin-Huxley model
  • The Hodgkin-Huxley action potential
  • Properties of neuronal action potentials
  • Complex ionic models
  • Phenomenological models
  • Numerical methods : template for an active membrane
  • Propagation
  • Passive propagation in dendrites
  • Active propagation in axons
  • Pass the paper please
  • Numerical methods : the finite and discrete cable
  • Numerical methods : template for cable propagation
  • Neural branches
  • Lumped models
  • Multicompartment models
  • Numerical methods : matrix formulation
  • Synapses
  • Neurotransmitters
  • The pre-synapse
  • Neurotransmitter diffusion and clearance
  • The post-synapse
  • Synaptic summation
  • Simplified models of the synapse
  • The many mechanisms of diseases and drugs
  • Synaptic plasticity and memory
  • Networks of neurons
  • Networks of neurons
  • Model behavior
  • Artificial neural networks
  • Multi-layered networks
  • Numerical methods
  • Extracellular recording and stimulation
  • Maxwell's equations applied to neurons
  • Extracellular potential recordings
  • Practical aspects of recording neural potentials
  • Extracellular stimulation
  • Numerical methods : computing phi-e in a cable
  • The neural code
  • Neural encoding
  • Neural decoding
  • Tuning Curves
  • Applications
  • Science and science fiction
  • Neural imaging
  • Neural stimulation
  • Drug and genetic therapies
  • Brain machine interface
  • Growing neural tissue
  • Artificial intelligence
  • Conclusion.

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