How we learn, how we remember : toward an understanding of brain and neural systems : selected papers of Leon N. Cooper
Author(s)
Bibliographic Information
How we learn, how we remember : toward an understanding of brain and neural systems : selected papers of Leon N. Cooper
(World Scientific series in 20th century physics, vol. 10)
World Scientific, c1995
- : pbk
Available at 20 libraries
  Aomori
  Iwate
  Miyagi
  Akita
  Yamagata
  Fukushima
  Ibaraki
  Tochigi
  Gunma
  Saitama
  Chiba
  Tokyo
  Kanagawa
  Niigata
  Toyama
  Ishikawa
  Fukui
  Yamanashi
  Nagano
  Gifu
  Shizuoka
  Aichi
  Mie
  Shiga
  Kyoto
  Osaka
  Hyogo
  Nara
  Wakayama
  Tottori
  Shimane
  Okayama
  Hiroshima
  Yamaguchi
  Tokushima
  Kagawa
  Ehime
  Kochi
  Fukuoka
  Saga
  Nagasaki
  Kumamoto
  Oita
  Miyazaki
  Kagoshima
  Okinawa
  Korea
  China
  Thailand
  United Kingdom
  Germany
  Switzerland
  France
  Belgium
  Netherlands
  Sweden
  Norway
  United States of America
Note
Includes bibliographical references
Description and Table of Contents
Description
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.
Table of Contents
- Some Properties of a Neural Model for Memory
- A Possible Organization of Animal Memory and Learning
- A Theory for the Acquisition and Loss of Neuron Specificity in Visual Cortex
- On the Development of Neuron Selectivity: Orientation Specificity and Binocular Interaction in Visual Cortex
- Mean Field Theory of a Neural Network
- Local and Global Factors in Learning
- Synaptic Plasticity in Visual Cortex: Comparison of Theory with Experiment
- Objective Function Formulation of the BCM Theory of Visual Cortical Plasiticity: Statistical Connections, Stability Conditions
- Theory of Synaptic Plasticity in Visual Cortex
- An Overview of Neural Networks: Early Models to Real World Systems
- Learning from What's Been Learned: Supervised Learning in Multi-Neural Network Systems. (Part contents).
by "Nielsen BookData"