From computer to brain : foundations of computational neuroscience /

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 integ...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Lytton, William W.
Μορφή: Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: New York : Springer, �2002.
Θέματα:
Διαθέσιμο Online:http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=99637
Πίνακας περιεχομένων:
  • Cover
  • Foreword
  • Preface
  • Acknowledgments
  • Contents
  • 1. Introduction
  • 2. Computational Neuroscience and You
  • 3. Basic Neuroscience
  • 4. Computer Representations
  • 5. The Soul of an Old Machine
  • 6. Concept Neurons
  • 7. Neural Coding
  • 8. Our Friend the Limulus
  • 9. Supervised Learning:Delta Rule and Back-Propagation
  • 10. Associative Memory Networks
  • 11. From Soap to Volts
  • 12. Hodgkin-Huxley Model
  • 13. Compartment Modeling
  • 14. From Artificial Neural Network to Realistic Neural Network
  • 15. Neural Circuits
  • 16. The Basics
  • References
  • Glossary.