From Computer to Brain

1. Front Matter

   Pages i-xvii

   PDF

2. Introduction

   1. Introduction

      Pages 1-7

3. Perspectives

   1. Front Matter

      Pages 9-9

      PDF

   2. Computational Neuroscience and You

      Pages 11-23

   3. Basic Neuroscience

      Pages 25-42

4. Computers

   1. Front Matter

      Pages 43-43

      PDF

   2. Computer Representations

      Pages 45-62

   3. The Soul of an Old Machine

      Pages 63-82

5. Cybernetics

   1. Front Matter

      Pages 83-83

      PDF

   2. Concept Neurons

      Pages 87-104

   3. Neural Coding

      Pages 105-119

   4. Our Friend the Limulus

      Pages 121-140

   5. Supervised Learning: Delta Rule and Back-Propagation

      Pages 141-162

   6. Associative Memory Networks

      Pages 163-178

6. Brains

   1. Front Matter

      Pages 179-179

      PDF

   2. From Soap to Volts

      Pages 189-212

   3. Hodgkin-Huxley Model

      Pages 213-238

   4. Compartment Modeling

      Pages 239-258

   5. From Artificial Neural Network to Realistic Neural Network

      Pages 259-268

   6. Neural Circuits

      Pages 269-279

Biology undergraduates, medical students and life-science graduate students often have limited mathematical skills. Similarly, physics, math and engineering students have little patience for the detailed facts that make up much of biological knowledge. Teaching computational neuroscience as an integrated discipline requires that both groups be brought forward onto common ground. This book does this by making ancillary material available in an appendix and providing basic explanations without becoming bogged down in unnecessary details. The book will be suitable for undergraduates and beginning graduate students taking a computational neuroscience course and also to anyone with an interest in the uses of the computer in modeling the nervous system.

• Memory
• Nervous System
• Neural Network
• Neuroscience
• artificial intelligence
• computational neuroscience
• neurons

From the Foreword:
"In From Computer to Brain: Foundations of Computational Neuroscience, William W. Lytton provides a gentle but rigorous introduction to the art of modeling neurons and neural systems. It is an accessible entry to the methods and approaches used to model the brain at many different levels, ranging from synapses and dendrites to neurons and neural circuits. This book gives a balanced view of the wide range of modeling techniques that are available in a way that is accessible to a wide audience. This is a book that will bring a smile to your face as well as inspire your imagination."
-- Terrence J. Sejnowski
Howard Hughes Medical Institute, Salk Institute, University of California at San Diego

• State University of New York, Downstate, Brooklyn

  William W. Lytton

• University of Wisconsin, Madison

  William W. Lytton

• Polytechnic University, Brooklyn

  William W. Lytton

• Kings County Hospital, Brooklyn, NY

  William W. Lytton

• SUNY, Brooklyn, USA

  William W. Lytton

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