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
Current Problems
Variable Binding
Cognitive Architecture
Back burner
Sequence
Grand Challenges of Computer Science
Conclusion
