Research Areas:
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Computational neuroscience
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Spike train analysis
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Multiple spike train analyses
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Stochastic statistical analyses
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Corrleation analyses
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Spike time and phase relationship analyses
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Neural encoding/decoding analyses
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Neural information processing
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Neural simulation
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Generic object-oriented realistic neural simulator
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Spike train simulator
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Neural Networks
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Learning rules -- Hebbian associative learning
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Time-delayed network architecture
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Neural network analyses
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Artifical neural net algorithms
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Autonomous robotic control
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Nagivational control
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Insect-like mini-robot for automonous path searching,
path finding and path planning
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Sensori-motor integration
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Decision making
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Experimental neuroscience
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Emotional components
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Theoretical emotional model in humans
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Experimental analysis of parameters regulating emotions
in rats
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Limbic system
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Mesolimbic system
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Motor control
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cerebellum neurophysiology
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motor integration
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sensori-motor integration
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Innovative Teaching Methodology
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Excellence in higher education
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Science education
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Critical thinking techniques
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Creative thinking techniques
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Positive reinforcement techniques
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Learner-centered learning methodology
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Brain-compatible learning methodology
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Psychology and neuroscience of procedural learning
and associative learning
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The art and science of education
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Education philosophy
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Assessment, evaluation and accountability
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Copyright © 2003 by
David Tam. All rights reserved.