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. INDICE: Vectors, Matrices, and Basic Neural Computations - Recurrent Connections and Simple Neural Circuits - Forward and Recurrent Lateral Inhibition -Covariation Learning and Auto-Associative Memory - Unsupervised Learning and Distributed Representations - Supervised Learning and Non-Uniform Representations - Reinforcement Learning and Associative Conditioning - Information Transmission and Unsupervised Learning - Probability Estimation and Supervised Learning - Time-Series Learning and Nonlinear Signal Processing - Temporal-Difference Learning and Reward Prediction - Predictor-Corrector Models and Probabilistic Inference - The Genetic Algorithm and Simulated Evolution - Future Directions in Neural Systems Modeling -
- ISBN: 978-0-87893-339-6
- Editorial: Sinauer
- Encuadernacion: Cartoné
- Páginas: 542
- Fecha Publicación: 01/03/2010
- Nº Volúmenes: 1
- Idioma: Inglés