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Learning, Recognizing and Early Classification of Spatio-Temporal Patterns using Spike Timing Neural Networks
Learning and recognizing spatio-temporal patterns is an important problem for all biological systems. Gestures, movements, activities, all encompass both spatial and temporal information that is critical for implicit ...
An Unsupervised Spike Timing Method for Learning Spatio-temporal Patterns
This thesis addresses the problem of learning and recognizing spatio-temporal patterns, which are typically encountered when representing gestures or other human actions. Existing approaches to learning such patterns are ...