The automaticity of visual statistical learning.

@article{TurkBrowne2005TheAO,
  title={The automaticity of visual statistical learning.},
  author={Nicholas B. Turk-Browne and Justin A. Jung{\'e} and Brian J. Scholl},
  journal={Journal of experimental psychology. General},
  year={2005},
  volume={134 4},
  pages={
          552-64
        }
}
The visual environment contains massive amounts of information involving the relations between objects in space and time, and recent studies of visual statistical learning (VSL) have suggested that this information can be automatically extracted by the visual system. The experiments reported in this article explore the automaticity of VSL in several ways, using both explicit familiarity and implicit response-time measures. The results demonstrate that (a) the input to VSL is gated by selective… CONTINUE READING
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