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- W4255471138 abstract "Almost all perception is active in the sense that we are aware of the percept and can use it to direct behaviors. Neuroscience research has demonstrated precise neural correlates of such percepts in the brain’s neural firing patterns. Computational models programmed on binocular camera robot ‘heads’ have shown that the embodiment of active perception produces great economies in cost. The spatiotemporal coding of an active percept tends to be punctate, as can be demonstrated in virtual environments. These coding mechanisms can be succinctly described with Bayesian statistics, which can form the basic currency in graphical models that provide concise descriptions of extended tasks." @default.
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- W4255471138 date "2009-01-01" @default.
- W4255471138 modified "2023-09-27" @default.
- W4255471138 title "Active Perception" @default.
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- W4255471138 doi "https://doi.org/10.1016/b978-008045046-9.01436-4" @default.
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