Confabulation Theory: The Mechanism of Thought
Confabulation Theory: The Mechanism of Thought
A Neuromorphic aVLSI network chip with configurable plastic synapses
HIS '07 Proceedings of the 7th International Conference on Hybrid Intelligent Systems
ACM Computing Surveys (CSUR)
Analyzing the Scaling of Connectivity in Neuromorphic Hardware and in Models of Neural Networks
IEEE Transactions on Neural Networks
IEEE Transactions on Computers
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The advanced sensing and imaging capability of today's sensor networks enables real time monitoring in a large area. In order to provide continuous monitoring and prompt situational awareness, an abstract-level autonomous information processing framework is developed that is able to detect various categories of abnormal traffic events with unsupervised learning. The framework is based on cogent confabulation model, which performs statistical inference in a manner inspired by human neocortex system. It enables detection and recognition of abnormal target vehicles within the context of surrounding traffic activities and previous events using likelihood-ratio test. A neuromorphic architecture is proposed which accelerates the computation for real-time detection by leveraging memristor crossbar arrays.