The NEURON Book

Assuming no previous knowledge of computer programming or numerical methods, The NEURON Book provides practical advice on how to get the most out of the NEURON software program. Although written primarily for neuroscientists, teachers and students, readers with a background in the physical sciences or mathematics and some knowledge about brain cells and circuits, will also find it helpful. Covering details of NEURON's inner workings, and practical considerations specifying anatomical and biophysical properties to be represented in models, this book uses a problem-solving approach that includes many examples to challenge readers. The authoritative reference on NEURON, the simulation environment for modeling biological neurons and neural networks that enjoys wide use in the experimental and computational neuroscience communities. This book shows how to use NEURON to construct and apply empirically based models. Written primarily for neuroscience investigators, teachers, and students, it assumes no previous knowledge of computer programming or numerical methods. Readers with a background in the physical sciences or mathematics, who have some knowledge about brain cells and circuits and are interested in computational modeling, will also find it helpful. The NEURON Book covers material that ranges from the inner workings of this program, to practical considerations involved in specifying the anatomical and biophysical properties that are to be represented in models. It uses a problem-solving approach, with many working examples that readers can try for themselves. preface.pdf......Page 2 contents.pdf......Page 6 chap1.pdf......Page 29 chap2.pdf......Page 81 chap3.pdf......Page 89 chap4.pdf......Page 126 chap5.pdf......Page 194 chap6.pdf......Page 269 chap7.pdf......Page 318 chap8.pdf......Page 367 chap9.pdf......Page 409 chap10.pdf......Page 511 chap11.pdf......Page 577 chap12.pdf......Page 630 chap13.pdf......Page 666 chap14.pdf......Page 691 apx1.pdf......Page 723 apx2.pdf......Page 734 Modeling can have many uses, but its principal benefit is to improve understanding. Ted Carnvale, Michael Hines. Includes Bibliographical References And Index.