Description: Please refer to the section BELOW (and NOT ABOVE) this line for the product details - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Title:Models Of Neural Networks IISBN13:9783642798160ISBN10:3642798160Author:Domany, Eytan (Editor), Hemmen, J. Leo Van (Editor), Schulten, Klaus (Editor)Description:One Of The Great Intellectual Challenges For The Next Few Decades Is The Question Of Brain Organization What Is The Basic Mechanism For Storage Of Memory? What Are The Processes That Serve As The Interphase Between The Basically Chemical Processes Of The Body And The Very Specific And Nonstatistical Operations In The Brain? Above All, How Is Concept Formation Achieved In The Human Brain? I Wonder Whether The Spirit Of The Physics That Will Be Involved In These Studies Will Not Be Akin To That Which Moved The Founders Of The Rational Foundation Of Thermodynamics C N Yang 10 The Human Brain Is Said To Have Roughly 10 Neurons Connected Through About 14 10 Synapses Each Neuron Is Itself A Complex Device Which Compares And Integrates Incoming Electrical Signals And Relays A Nonlinear Response To Other Neurons The Brain Certainly Exceeds In Complexity Any System Which Physicists Have Studied In The Past Nevertheless, There Do Exist Many Analogies Of The Brain To Simpler Physical Systems We Have Witnessed During The Last Decade Some Surprising Contributions Of Physics To The Study Of The Brain The Most Significant Parallel Between Biological Brains And Many Physical Systems Is That Both Are Made Of Many Tightly Interacting Components Binding:Paperback, PaperbackPublisher:SPRINGER PGPublication Date:2012-01-19Weight:1.18 lbsDimensions:0.79'' H x 9.21'' L x 6.14'' WNumber of Pages:355Language:English
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Book Title: Models Of Neural Networks I
Item Length: 9.3in
Item Width: 6.1in
Author: J. Leo Van Hemmen
Publication Name: Models of Neural Networks I
Format: Trade Paperback
Language: English
Publisher: Springer Berlin / Heidelberg
Series: Physics of Neural Networks Ser.
Publication Year: 2012
Type: Textbook
Item Weight: 20.3 Oz
Number of Pages: Xviii, 355 Pages