Textbook on neurobiological simulations, and statistical inference and learning in networks
|6 Feb 2010||MathWorks Classroom Resources Team||
"Neural Engineering: Computation, Representation, and Dynamics in Neurobiological Systems" by Chris Eliasmith and Charles H. Anderson. Published by MIT Press.
== Table of contents
|19 Jun 2009||MATLAB Central Team||
By Chris Eliasmith and Charles H. Anderson. This text is written for neuroscientists and engineers, physicists, and computer scientists interested in applying techniques of their fields to neurobiological systems. This book provides a framework for constructing neurobiological simulations through discussions of system descriptions, design specification, and implementation. Topics covered include principles of neural engineering, representation of neurons, dynamic transformations, and statistical inference and learning.