The 2016 IEEE Symposium on Neuromorphic Systems and Cyborg Intelligence (SNCI’16) will be held in Athens, Greece, December 6 - 10, 2016, following the success of the first international symposium held in Beijing and the second in Hangzhou 2014. SNCI’16 will be a part of the IEEE Symposium Series on Computational Intelligence 2016. In recent years neuromorphic computing has been an important emerging research area. There has been rapid progress in various computational theories, learning algorithms, signal processing algorithm, circuit designs and implementations, which have shown appealing computational advantages over conventional approaches. Emulating the computational principles and architecture found in neural systems, neuromorphic computing studies sensory coding, synaptic computing, learning (e.g., STDP) and memory, and attempts to develop neuromorphic sensors, processors, and sensory motor systems for robotic agents. Neuromorphic systems overlap with another framework called cyborg intelligence, combining brain functions with computational machines to achieve the best of both via brain-machine interfaces. The symposium will provide an important platform for the researchers across all related fields to exchange the ideas and report recent progress, and aims to bring new theoretical and technical advances in neuromorphic computing and cyborg intelligence.
• Cognitive computing and cyborg intelligence
• Brain inspired computing
• Neuromorphic vision and sensors
• Neuromorphic information/signal processing
• Brain-inspired data representation models
• Spike-based sensing and learning
• Neural coding
• Event based processing
• Neuromorphic sensors and hardware systems
• Cognition mechanisms for big data
• Brain inspired computing for sound, vision and speech processing
• Embodied cognition and neuro-robotics.
12月06日
2016
12月09日
2016
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