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Spike Train Analysis
- Apply research methods:
- Multiple spike train analyses
- Stochastic statistical analyses
- Corrleation analyses
- Spike time and phase relationship analyses
- Neural encoding/decoding analyses
- Neural information processing
Neural Simulation
- Generic object-oriented realistic neural simulator
- Spike train simulator
Neural Networks
- Learning rules -- Hebbian associative reinforcement
learning
- Time-delayed network architecture
- Neural network analyses
- Neural net algorithms
- Computational model of consolidation in neural circuitry
to pass on to next generation
Emotional Cognition
- Emotional model for cognition
- Computational roles of emotions in neural processing
- Emotional intelligence
- Computational decision making affected by emotions
Computational model of neural-compatible learning for
teaching
- Apply associative learning model for teaching
- Apply reinforcement behavioral model for learning
- Apply virtual learning technology
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