Basics of Unsupervised Learning from Hebb's rule

This video discusses the basics of Hebb's rule, typically considered the simplest of the unsupervised learning rules. The video shows the learning rule dynamics are unstable, although a normalized form of these dynamics could result in eigen-solutions of the input covarience matrix, including Principle Component Analysis (PCA).