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@ARTICLE{Vossel:861621,
      author       = {Vossel, Simone and Mathys, C. and Daunizeau, J. and Bauer,
                      M. and Driver, J. and Friston, K. J. and Stephan, K. E.},
      title        = {{S}patial attention, precision, and {B}ayesian inference:
                      {A} study of saccadic response speed},
      journal      = {Cerebral cortex},
      volume       = {24},
      number       = {6},
      issn         = {1047-3211},
      address      = {Oxford},
      publisher    = {Oxford Univ. Press},
      reportid     = {FZJ-2019-02067},
      pages        = {1436-1450},
      year         = {2014},
      abstract     = {Inferring the environment's statistical structure and
                      adapting behavior accordingly is a fundamental modus
                      operandi of the brain. A simple form of this faculty based
                      on spatial attentional orienting can be studied with
                      Posner's location-cueing paradigm in which a cue indicates
                      the target location with a known probability. The present
                      study focuses on a more complex version of this task, where
                      probabilistic context (percentage of cue validity) changes
                      unpredictably over time, thereby creating a volatile
                      environment. Saccadic response speed (RS) was recorded in 15
                      subjects and used to estimate subject-specific parameters of
                      a Bayesian learning scheme modeling the subjects'
                      trial-by-trial updates of beliefs. Different response
                      models—specifying how computational states translate into
                      observable behavior—were compared using Bayesian model
                      selection. Saccadic RS was most plausibly explained as a
                      function of the precision of the belief about the causes of
                      sensory input. This finding is in accordance with current
                      Bayesian theories of brain function, and specifically with
                      the proposal that spatial attention is mediated by a
                      precision-dependent gain modulation of sensory input. Our
                      results provide empirical support for precision-dependent
                      changes in beliefs about saccade target locations and
                      motivate future neuroimaging and neuropharmacological
                      studies of how Bayesian inference may determine spatial
                      attention.},
      cin          = {INM-3},
      ddc          = {610},
      cid          = {I:(DE-Juel1)INM-3-20090406},
      pnm          = {572 - (Dys-)function and Plasticity (POF3-572)},
      pid          = {G:(DE-HGF)POF3-572},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:23322402},
      UT           = {WOS:000336529700003},
      doi          = {10.1093/cercor/bhs418},
      url          = {https://juser.fz-juelich.de/record/861621},
}