Neural engineering : computation, representation, and dynamics in neurobiological systems /

Textbook presents three principles of neural engineering based on the representation of signals by neural ensembles, transformations of these representations through neuronal coupling weights, and the integration of control theory and neural dynamics.

Bibliographic Details
Main Author: Eliasmith, Chris
Other Authors: Anderson, C. H. (Charles H.)
Format: eBook
Language:English
Published: Cambridge, Mass. : MIT Press, �2003.
Series:Computational neuroscience.
Subjects:
Online Access:http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=78178
Table of Contents:
  • 1. Of neurons and engineers
  • I. Representation
  • 2. Representation in populations of neurons
  • 3. Extending population representation
  • 4. Temporal representation in spiking neurons
  • 5. Population-temporal representation
  • II. Transformation
  • 6. Feed-forward transformations
  • 7. Analyzing representation and transformation
  • 8. Dynamic transformations
  • 9. Statistical inference and learning.