Neural Computation and Self-Organization Introduction Neurons Neurons Neurophysiology Computational Models of Neurons Linear Threshold Units Dynamics of Networks Associative Memories Learning Bayesian Decision Theory Linear Threshold Classification Perceptrons Linear Least Squares Logistic Regression Neural Networks MLP Background Introduction to MLPs Object-Oriented MLPs MLPs and Posteriors Simple Convolutional Networks Convolutional Networks for Thresholding Multilayer Convolutional Network Other Pattern Recognition PCA k-Means Expectation Maximization Incremental k-Means Self-Organizing Maps Bayesian Parameter Estimation Misc Topics MNIST Deskewing Outline of Review Game Theory Sequence Modeling Sequence Learning