How We Learn; How We Remember:toward An Understanding Of Brain And Neural Systems - Selected Papers Of Leon N Cooper

How We Learn; How We Remember:toward An Understanding Of Brain And Neural Systems - Selected Papers Of Leon N Cooper
Author :
Publisher : World Scientific
Total Pages : 407
Release :
ISBN-10 : 9789814501910
ISBN-13 : 9814501913
Rating : 4/5 (10 Downloads)

Book Synopsis How We Learn; How We Remember:toward An Understanding Of Brain And Neural Systems - Selected Papers Of Leon N Cooper by : Leon N Cooper

Download or read book How We Learn; How We Remember:toward An Understanding Of Brain And Neural Systems - Selected Papers Of Leon N Cooper written by Leon N Cooper and published by World Scientific. This book was released on 1995-09-30 with total page 407 pages. Available in PDF, EPUB and Kindle. Book excerpt: Leon Cooper's somewhat peripatetic career has resulted in work in quantum field theory, superconductivity, the quantum theory of measurement as well as the mechanisms that underly learning and memory. He has written numerous essays on a variety of subjects as well as a highly regarded introduction to the ideas and methods of physics for non-physicists. Among the many accolades, he has received (some deserved) one he likes specially is the comment of an anonymous reviewer who characterized him as “a nonsense physicist”.This compilation of papers presents the evolution of his thinking on mechanisms of learning, memory storage and higher brain function. The first half proceeds from early models of memory and synaptic plasticity to a concrete theory that has been put into detailed correspondence with experiment and leads to the very current exploration of the molecular basis for learning and memory storage. The second half outlines his efforts to investigate the properties of neural network systems and to explore to what extent they can be applied to real world problems.In all this collection, hopefully, provides a coherent, no-nonsense, account of a line of research that leads to present investigations into the biological basis for learning and memory storage and the information processing and classification properties of neural systems.


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