When interacting with the dynamic world, the brain receives outdated sensory information, due to the time required for neural transmission and processing. In motion perception, the brain may overcome these fundamental delays through predictively encoding the position of moving objects using information from their past trajectories. In the present study, we evaluated this proposition using multivariate analysis of high temporal resolution electroencephalographic data. We tracked neural position representations of moving objects at different stages of visual processing, relative to the real-time position of the object. During early stimulus-evoked activity, position representations of moving objects were activated substantially earlier than the equivalent activity evoked by unpredictable flashes, aligning the earliest representations of moving stimuli with their real-time positions. These findings indicate that the predictability of straight trajectories enables full compensation for the neural delays accumulated early in stimulus processing, but that delays still accumulate across later stages of cortical processing.
机构:
Kings Coll London, Ctr Robot Res, Dept Informat, London WC2R 2LS, England
Imperial Coll London, Dyson Sch Design Engn, Morphol Computat & Learning Lab, London, EnglandKings Coll London, Ctr Robot Res, Dept Informat, London WC2R 2LS, England
Shiva, Ali
Sadati, S. M. Hadi
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Imperial Coll London, Dyson Sch Design Engn, Morphol Computat & Learning Lab, London, England
Univ Bristol, Fac Engn, Bristol Robot Lab, Bristol, Avon, EnglandKings Coll London, Ctr Robot Res, Dept Informat, London WC2R 2LS, England
Sadati, S. M. Hadi
Noh, Yohan
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Kings Coll London, Ctr Robot Res, Dept Informat, London WC2R 2LS, EnglandKings Coll London, Ctr Robot Res, Dept Informat, London WC2R 2LS, England
Noh, Yohan
Fras, Jan
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机构:
Queen Mary Univ London, Fac Sci & Engn, Ctr Adv Robot Queen Mary ARQ, London, England
Ind Res Inst Automat & Measurements PIAP, Warsaw, PolandKings Coll London, Ctr Robot Res, Dept Informat, London WC2R 2LS, England
Fras, Jan
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Ataka, Ahmad
Wurdemann, Helge
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UCL, Dept Mech Engn, London, EnglandKings Coll London, Ctr Robot Res, Dept Informat, London WC2R 2LS, England
Wurdemann, Helge
Hauser, Helmut
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Univ Bristol, Fac Engn, Bristol Robot Lab, Bristol, Avon, EnglandKings Coll London, Ctr Robot Res, Dept Informat, London WC2R 2LS, England
机构:
Univ Ulsan, Coll Med, Asan Med Ctr, Dept Neurol, Seoul 138736, South KoreaUniv Ulsan, Coll Med, Asan Med Ctr, Dept Neurol, Seoul 138736, South Korea
Kim, Yong-Hwan
Kang, Dong-Wha
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Univ Ulsan, Coll Med, Asan Med Ctr, Dept Neurol, Seoul 138736, South KoreaUniv Ulsan, Coll Med, Asan Med Ctr, Dept Neurol, Seoul 138736, South Korea
Kang, Dong-Wha
Kim, Dongho
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Brown Univ, Dept Cognit Linguist & Psychol Sci, Providence, RI 02912 USAUniv Ulsan, Coll Med, Asan Med Ctr, Dept Neurol, Seoul 138736, South Korea
Kim, Dongho
Kim, Hye-Jin
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机构:
Univ Ulsan, Coll Med, Asan Med Ctr, Dept Neurol, Seoul 138736, South KoreaUniv Ulsan, Coll Med, Asan Med Ctr, Dept Neurol, Seoul 138736, South Korea
Kim, Hye-Jin
Sasaki, Yuka
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机构:
Brown Univ, Dept Cognit Linguist & Psychol Sci, Providence, RI 02912 USAUniv Ulsan, Coll Med, Asan Med Ctr, Dept Neurol, Seoul 138736, South Korea
Sasaki, Yuka
Watanabe, Takeo
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Brown Univ, Dept Cognit Linguist & Psychol Sci, Providence, RI 02912 USAUniv Ulsan, Coll Med, Asan Med Ctr, Dept Neurol, Seoul 138736, South Korea
Watanabe, Takeo
JOURNAL OF NEUROSCIENCE,
2015,
35
(29):
: 10485
-
10492