Titlebook: Brain Informatics; International Confer Ning Zhong,Kuncheng Li,Lin Chen Conference proceedings 2009 Springer-Verlag Berlin Heidelberg 2009

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Simulating Human Heuristic Problem Solving: A Study by Combining ACT-R and fMRI Brain Imagetive Control of Thought-Rational) and advanced fMRI (functional Magnetic Resonance Imaging) brain imaging technique. As a new paradigm, 4*4 Sudoku is developed to facilitate this study, in which seven heuristics that can be classified into 3 groups are designed to solve two types of tasks: simple an

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EEG/ERP Meets ACT-R: A Case Study for Investigating Human Computation Mechanismof brain activity at resolutions approaching real time. On the other hand, cognitive architectures such as ACT-R would explain how all the components of the mind work together to generate coherent human cognition. Thus EEG/ERP (event-related potential) and ACT-R will provide two aspects to explore t

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0302-9743 g University of Technology, China, on October 22–24, 2009. It was organized by the Web Int- ligence Consortium (WIC) and IEEE Computational Intelligence Society Task Force on Brain Informatics (IEEE TF-BI). The conference was held jointly with The 2009 International Conference on Active Media Techno

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Working in Leopard: The Aqua Interfacede insights into memory function. Several experiments will be described to illustrate the potential of studying subjects with transient anterograde amnesia. This talk will also outline how this drug can be used in combination with fMRI to provide more insights about brain functioning than either method in isolation.

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Connecting Peripherals to Your Macgh capacity and efficiency of exploring information processing. It will bring the important impetus to economic and social sustainable development, promotion of the information industry and so on to make breakthrough in the research of brain-like computer.

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參考書(shū)目

Connecting Peripherals to Your Mac their learning, and this is a prerequisite in e-learning. Normally, affective learning has been investigating some technologies to understand learners’ emotions through detecting their face, voice and eyes motion, etc.