Table of Contents

1: Introduction
Basic Neurons
2: Neurons and conductance-based models
3: Simplified neuron and population models
4: Associators and synaptic plasiticity
Basic Networks
5: Cortical organizations and simple networks
6: Feed-forward mapping networks
7: Cortical feature maps and competitive population coding
8: Recurrent associative networks and episodic memory
System-Level Models
9: Modular networks, motor control, and reinforcement learning
10: The cognitive brain
A: Some useful mathematics
B: Numerical calculus
C: Basic probability theory
D: Basic information theory
E: A brief introduction to MATLAB

Reviews

"As an introductory and foundational text for students, this book works quite well. It is well organized, easy to reference, and uncomplicated as far as this technical topic goes. The neuroanatomy is truly integrated with computer modeling and includes real-world examples of the phenomena to place a concrete face on an otherwise abstract body. The second edition includes many new features that make the udpate worthwhile."--Doody's