Outline
Introduction
Outline
Cell Assembly Background
Neurons
Learning
Cell Assemblies
Comparison to Hopfield and Other Attractor Nets
Cell Assembly Benefits
Results
Simple Categorisation
Spontaneous Activation
Overlapping Cell Assemblies
A Range of Hebbian Learning Rules
Hierarchical Categories
DataMining
Density Proof
Mule Problem
Variable Binding
Current Problems
Back burner
Sequence
Cognitive Architecture
Grand Challenges of Computer Science
Natural Language Processing
Attractor Formation
Hardware Implementation
Conclusion
