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Neuromorphic Spatiotemporal Where-What Machines

IntroductionDespite a promising beginning, pattern recognition software using a “neural network” approach in general has encountered serious roadblocks limiting the rate of progress. Traditional methods cannot “attend” and “recognize” using the same network structure. For example, a system can find interesting re...

Multilayer In-place Learning Networks

IntroductionCreating a neural network that can be fully and automatically trained for classification or regression analysis has been a great challenge. The well-known methods such as feed-forward networks with back-propagation learning, radial-basis functions, support vector machines, cascade-correlation learning architecture, and independent compo...