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Neurodynamix II 2nd Revised edition [Spiraalköide]

  • Formaat: Spiral bound, 240 pages, kõrgus x laius x paksus: 252x181x14 mm, kaal: 420 g, 70 halftones, 50 line illus.
  • Ilmumisaeg: 01-Dec-2009
  • Kirjastus: Oxford University Press Inc
  • ISBN-10: 0195371836
  • ISBN-13: 9780195371833
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  • Formaat: Spiral bound, 240 pages, kõrgus x laius x paksus: 252x181x14 mm, kaal: 420 g, 70 halftones, 50 line illus.
  • Ilmumisaeg: 01-Dec-2009
  • Kirjastus: Oxford University Press Inc
  • ISBN-10: 0195371836
  • ISBN-13: 9780195371833
Teised raamatud teemal:
The membrane electrical potential is a central element in the functioning of all living cells, and temporal variations of this potential are crucial for signaling within the nervous systems of all animals. Electrical properties of nerve cells are covered in neurobiology courses, but because electrical concepts are complex and textbook illustrations are static, students often find neurophysiology intimidating and inaccessible. In order to make neurophysiology less formidable and more accessible, we developed a comprehensive approach that begins with the elements of electrical circuits. This approach is found in both this book and in NDX II, a modeling system that is available for free online and is largely platform independent.
This book, together with its associated computer simulation lessons, teaches students about neurophysiological concepts, and then the online software further expands their knowledge through modeling experiments. These hands-on simulations serve to deepen students' understanding of basic neurophysiological techniques, including intracellular recording and voltage clamp. NDX II simulates the dynamic properties of neurons at several organizational levels: the membrane patch, neuronal compartments (dendrite, soma, neurite, and axon), individual neurons, and synaptic interactions within neuronal circuits (up to 100 neurons). NDX II models present experimental results dynamically, in the sense that the results are displayed as they are generated, providing a sense of experimental verisimilitude. Based on a user-friendly, highly accessible graphics interface, the models encourage active exploration of physiological properties through the manipulation of model parameters.
NeuroDynamix II embodies a tight interdependence between didactic text and online software. Section I of the book provides explicit, illustrated introductions to electrical concepts, properties of ion channels, resting and action potentials, synaptic interactions, and neuronal circuits. Each didactic subsection concludes with detailed modeling "lessons" that preconfigure NDX II models to illustrate and explore neurophysiological principles. Section II provides brief descriptions of seven integrated models, with complete glossaries of variable and parameter names and units. Sections III and IV furnish detailed descriptions of the equations for the models and summarize numerical methods. The book concludes with a brief computer guide and a bibliography.
Introduction to Neurophysiology
1(146)
Fundamentals of Electricity
3(17)
Patch-Clamp Recording
20(16)
Physical Basis for the Resting Potential
36(15)
Basis of the Nerve Impulse
51(36)
Properties of Neurons
87(17)
Electrophysiology of Neuronal Interactions
104(22)
Neuronal Oscillators
126(21)
Description of the Models
147(42)
Electricity Model
149(2)
Patch Model
151(3)
Soma Model
154(3)
Axon Models
157(9)
Neuron Model
166(5)
Synapse Model
171(6)
Circuit Model
177(9)
Stimulator Control
186(3)
Equations Underlying Neufo Dynamix II Simulations
189(22)
Equations Underlying the Electricity Model
191(1)
Equations Underlying the Patch Model
192(4)
Equations Underlying the Soma Model
196(2)
Equations Underlying the Axon Models
198(4)
Equations Underlying the Neuron Model
202(4)
Equations Underlying the Synapse Model
206(4)
Equations Underlying the Circuit Model
210(1)
Numerical Methods
211(8)
Form of the Equations
213(3)
Numerical Solution
216(3)
Guide to NeuroDynamix II Software 219(2)
Bibliography 221(4)
Index 225
W. Otto Friesen is Professor of Biology at the University of Virginia. Jonathon Friesen is a professor in the Department of Computer Science, College of William and Mary.