Cellular Neurophysiology and Integration

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A01=W. R. Uttal
Abdominal Ganglion
action
action potential generation
Author_W. R. Uttal
Category=JM
Category=JNC
Cathode Ray Oscilloscope
CELLULAR NEUROPHYSIOLOGY
cellular neurophysiology principles for students
Cochlear Microphonic
compound
Compound Action Potential
Electrical Synapses
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Gab
graded
Hair Cell
Heterosynaptic Facilitation
ion channel physiology
Lo Ca
membrane
Membrane Potential
Model Preparation
Moving Coil Galvanometer
neural membrane dynamics
neuroanatomical mapping
Oscilloscope
Pacinian Corpuscle
Pleural Ganglion
Post-tetanic Potentiation
Postsynaptic Potential
Posttetanic Potentiation
potential
potentials
Primary Sensory Action
resting
Resting Potential
Sea Water
sensory neuron function
Sodium Potassium Pump
spike
Spike Action Potential
substance
synaptic plasticity mechanisms
transmitter
Transmitter Substance

Product details

  • ISBN 9780898594294
  • Weight: 770g
  • Dimensions: 152 x 229mm
  • Publication Date: 01 Aug 1975
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Hardback
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First published in 1975. Because of its general importance to a number of related disciplines, students of the modern science of neurophysiology have benefited from time to time from an introductory survey presented at a more elementary level than is usually found in advanced textbooks. The dynamism of the field is such, however, that more up-to-date statements incorporating many of the exciting new findings concerning cellular neurophysiology are required periodically. This text is aimed at filling that need. It is an outgrowth of a part of a course on the neurophysiology of sensory processes taught by the author at The University of Michigan during the last ten years. This book is an attempt to present the subject matter at a level appropriate for advanced undergraduate students and first year graduate students whose knowledge of chemistry, physics, and mathematics is limited to introductory courses.
W.R. Uttal The University of Michigan

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