Feedback on BrainWave Models, Architectures and Features




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Existing Models, Architectures and Features:

MODELS
Letter Perception (McCelland & Rumelhart 1981)
Orientation Selectivity (von der Malsberg 1973)
Controlled and Automatic Processing - The Stroop Effect (Cohen, Dunbar & McClelland 1990)
Category Learning - ALCOVE (Kruschke 1993)
Episodic Memory - The Matrix Model (Humphreys, Bain & Pike 1989)
Language Acquisition: Syntax - Simple Recurrent Network (Elman 1990)
Dyslexia (Hinton & Shallice 1991)
Oscillation - Synchronous Fireflies Example (Buck & Buck 1976)
 ARCHITECTURES
Interactive Activation and Competition
Self Organizing Map
Backpropagation
Hebbian Learning
Hopfield Network
Phase Resetting Oscillators
ALCOVE
 FEATURES
Postscript output
Graphing
Black and White screen capability

Potential New Models, Architectures and Features

Please check the models, architectures and features you would use.
MODELS
Search of Associative Memory (SAM, Gillund & Shiffrin 1984)

Theory of Distributed Associative Memory (TODAM, Murdock 1982)

Priming in a Hopfield network (Masson 1989)

Analogical Reasoning in the STAR model (Halford, Wiles, Humphreys & Wilson 1992)

 ARCHITECTURES
Adaptive Resonance Theory (ART)

Recursive Auto-Associative Memory (RAAM)

Boltzmann Machine

Reinforcement Learning

Real Time Recurrent Learning

 FEATURES
Principal Components Analysis

Canonical Discriminants Analysis

Sliding windows on graphs

Log scaling on graphs

Any additional comments or suggestions?

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