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.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Eliasmith, Chris
Άλλοι συγγραφείς: Anderson, C. H. (Charles H.)
Μορφή: Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cambridge, Mass. : MIT Press, �2003.
Σειρά:Computational neuroscience.
Θέματα:
Διαθέσιμο Online:http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=78178
Πίνακας περιεχομένων:
  • 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.