ISBN : 9780878933396
For students of neuroscience and cognitive science who wish to explore the functioning of the brain further, but lack an extensive background in computer programming or maths, this new book makes neural systems modelling truly accessible. Short, simple MATLAB computer programs give readers all the experience necessary to run their own simulations.
1. Vectors, Matrices, and Basic Neural Computations
2. Recurrent Connections and Simple Neural Circuits
3. Forward and Recurrent Lateral Inhibition
4. Covariation Learning and Auto-Associative Memory
5. Unsupervised Learning and Distributed Representations
6. Supervised Learning and Non-Uniform Representations
7. Reinforcement Learning and Associative Conditioning
8. Information Transmission and Unsupervised Learning
9. Probability Estimation and Supervised Learning
10. Time-Series Learning and Nonlinear Signal Processing
11. Temporal-Difference Learning and Reward Prediction
12. Predictor-Corrector Models and Probabilistic Inference
13. Simulated Evolution and the Genetic Algorithm
14. Future Directions in Neural Systems Modeling