Abstract
The “Binding Problem” is an important problem across many disciplines, including psychology, neuroscience, computational modeling, and even philosophy. In this work, we proposed a novel computational model, Bayesian Linking Field Model, for feature binding in visual perception, by combining the idea of noisy neuron model, Bayesian method, Linking Field Network and competitive mechanism. Simulation Experiments demonstrated that our model perfectly fulfilled the task of feature binding in visual perception and provided us some enlightening idea for future research.
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Supported by the National Natural Science Foundation of China (Grant No. 60435010), National High-Tech Program (863 Program) of China (Grant No. 2006AA01Z128), National Basic Research Priorities Program of China (Grant No. 2007CB311004)
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Shi, Z., Shi, Z., Liu, X. et al. A computational model for feature binding. SCI CHINA SER C 51, 470–478 (2008). https://doi.org/10.1007/s11427-008-0063-3
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DOI: https://doi.org/10.1007/s11427-008-0063-3