Anderson, James A. <br/><br/>
An introduction to neural networks / 
James A. Anderson. 
 - Cambridge, Mass. :  MIT Press,  c1995. 
 - xi, 650 p. :  ill. ;  27 cm. 
<br/><br/>Properties of Single Neurons (Page-1), Synaptic Integration and Neuron Models (Page-37), Essential Vector Operations (Page-63), Lateral Inhibition and Sensory Processing (Page-85), Simple Matrix Operations (Page-129), The Linear Associator Background and Foundations (Page-143), The Linear Associator Simulations (Page-175), Early Networks Models (Page-209), Gradient Descent Algorithms (Page-239), Representation of Information (Page-281), Applications of Simple Associators Concepts Formation and Object Motion (Page-351), Energy and Neural Networks Hopfield Networks and Boltzmann Machines (Page-401), Nearest Neighbor Models (Page-433), The BSB Model a Simple Nonlinear Autoassociative Neural Network (Page-493), Associative Computation (Page-545), Teaching Arithmetic to a Neural Network (Page-585). 
<br/><br/><label>ISBN: </label>8120313518 
<br/><br/><label>LCCN: </label>94030749 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Neural networks (Neurobiology)
<br/><br/><label>Dewey Class. No.: </label>006.3,AND