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Computer Simulation in Brain Science [Paperback]

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  • Category: Books (Medical)
  • ISBN-10:  0521061180
  • ISBN-10:  0521061180
  • ISBN-13:  9780521061186
  • ISBN-13:  9780521061186
  • Publisher:  Cambridge University Press
  • Publisher:  Cambridge University Press
  • Pages:  584
  • Pages:  584
  • Binding:  Paperback
  • Binding:  Paperback
  • Pub Date:  01-May-2008
  • Pub Date:  01-May-2008
  • SKU:  0521061180-11-MPOD
  • SKU:  0521061180-11-MPOD
  • Item ID: 100744226
  • Seller: ShopSpell
  • Ships in: 2 business days
  • Transit time: Up to 5 business days
  • Delivery by: Jun 30 to Jul 02
  • Notes: Brand New Book. Order Now.
The volume covers the creation of computer models of neural networks, and their use in the study of neural function, of cognition, memory and vision.The volume covers the creation of computer models of neural networks, and their use in the study of neural function, of cognition, memory and vision. The results and future directions explored here will have an important bearing on research into brain function, physiology, psychology, biophysics and artificial intelligence.The volume covers the creation of computer models of neural networks, and their use in the study of neural function, of cognition, memory and vision. The results and future directions explored here will have an important bearing on research into brain function, physiology, psychology, biophysics and artificial intelligence.Forty-three of the leading experts in this burgeoning field have assembled to produce an exciting review of the many advances to date. The volume reviews the creation of computer models of neural function, of cognition, memory, and vision. The results and future directions explored here will have an important bearing on research into brain function, physiology, psychology, biophysics, and artificial intelligence.Preface; Part I. Neurons and Neural Networks: General Principles: 1. Some recent developments in the theory of neural networks; 2. Representation of sensory information in self-organizating feature maps, and the relation of these maps to distributed memory networks; 3. Excitable dendritic spine clusters: nonlinear synaptic processing; 4. Vistas from tensor network theory: a horizon from reductionalistic neurophilosophy to the geometry of multi-unit recordings; Part II. Synaptic Plasticity, Topological and Temporal Features, and Higher Cortical Processing: 5. Neurons with hysteresis?; 6. On models of short- and long-term memories; 7. Topology, structure, and distance in quasirandom neural networks; 8. A layered metwork model of sensory cortex; 9. Computer simulation of networlC>
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