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Competitive Learning Algorithms for Neuromorphic Spatial Processing
This module implements advanced competitive learning algorithms including winner-take-all dynamics, homeostatic plasticity, and multi-timescale adaptation for spatial data clustering and pattern discovery.
Structsยง
- Adaptation
Scale - Individual adaptation scale
- Competitive
Neural Clusterer - Bio-inspired competitive learning for spatial clustering
- Homeostatic
Neural Clusterer - Advanced homeostatic plasticity for neuromorphic spatial learning
- Homeostatic
Neuron - Homeostatic neuron with intrinsic plasticity
- Learning
Rate Adaptation - Learning rate adaptation mechanisms
- Metaplasticity
Controller - Metaplasticity controller for flexible learning
- Multi
Timescale Adaptation - Multi-timescale adaptation for different learning phases