Speed estimation for visual tracking emerges dynamically from nonlinear frequency interactions

HIGHLIGHTS

  • who: Andrew Isaac Meso and colleagues from the Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King`s College, London , AF, United Kingdom, Department of Psychology, Edinburgh Napier University, Edinburgh, BN, United Kingdom have published the paper: Speed Estimation for Visual Tracking Emerges Dynamically from Nonlinear Frequency Interactions, in the Journal: (JOURNAL)
  • what: The authors demonstrate the importance of using well-parametrized naturalistic inputs, like MCs, in contrast to gratings, plaids, or random dot patterns. (3) To complement the findings of Gekas et_al , the authors show for the first time the generic applicability of . . .

     

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