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Kai Markus Schreiber, PhD

Affiliations: 
1999-2003 Physiology University of Toronto, Toronto, ON, Canada 
 2003-2007 Optometry University of California, Berkeley, Berkeley, CA, United States 
 2007-2010 Center for Molecular and Behavioral Neuroscience Rutgers University, New Brunswick, New Brunswick, NJ, United States 
 2010-2013 Psychology Westfälische Wilhelms-Universität Münster, Münster, Nordrhein-Westfalen, Germany 
 2013- Max-Planck-Institute for Neurological Research, Jupiter, FL, United States 
Area:
Stereopsis, Eye Movements, Machine Learning, FMRI
Website:
http://genista.de/kai
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"Kai Schreiber"
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Publications

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Schreiber K, Morgan MJ. (2018) Aperture Synthesis Shows Perceptual Integration of Geometrical Form Across Saccades. Perception. 47: 239-253
Morgan MJ, Schreiber K, Solomon JA. (2016) Low-level mediation of directionally specific motion aftereffects: Motion perception is not necessary. Attention, Perception & Psychophysics
Schreiber K, Morgan M. (2015) An aperture synthesis variant of the Mueller-Lyer-Illusion is sensitive to reference frame manipulation F1000research. 4
Schreiber K, Krekelberg B. (2013) The statistical analysis of multi-voxel patterns in functional imaging. Plos One. 8: e69328
Banks M, Schreiber K. (2010) Are the positions of corresponding points adaptive for natural viewing? Journal of Vision. 8: 1085-1085
Blohm G, Khan AZ, Schreiber KM, et al. (2010) The role of extraretinal signals in egocentric depth estimation Journal of Vision. 7: 807-807
Schreiber K. (2010) Retinal Correspondence and the Theoretical Horopter Journal of Vision. 7: 104-104
Schreiber KM, Schor CM. (2010) What is retinal disparity? Journal of Vision. 6: 650-650
Schreiber K, Krekelberg B. (2010) Detrimental effect of head motion covariates on GLM and multivoxel classification analysis of FMRI data Journal of Vision. 10: 967-967
Schreiber K, Krekelberg B. (2009) Eye Position Signals in Human Visual Cortex in Darkness - Unexpected Effects of Motion Artifacts on Support Vector Machine Analysis of fMRI Data Neuroimage. 47: S63
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