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Journal of Vision|August 10, 2021
Transsaccadic integration of visual information is predictive, attention-based, and spatially preciseJames P Wilmott, Melchi M MichelJournal of Vision|August 25, 2017
Intrinsic position uncertainty impairs overt search performanceYelda Semizer, Melchi M MichelJournal of Vision|April 2, 2019
Natural image clutter degrades overt search performance independently of set sizeYelda Semizer, Melchi M MichelJournal of Vision|March 6, 2008
Learning optimal integration of arbitrary features in a perceptual discrimination taskMelchi M Michel, Robert A JacobsPsychological Review|May 8, 2018
The capacity of trans-saccadic memory in visual searchNicholas J Kleene, Melchi M MichelJournal of Vision|April 28, 2007
Parameter learning but not structure learning: a Bayesian network model of constraints on early perceptual learningMelchi M Michel, Robert A JacobsNeural Computation|February 18, 2006
The costs of ignoring high-order correlations in populations of model neuronsMelchi M Michel, Robert A JacobsJournal of Vision|May 14, 2010
Visual learning with reliable and unreliable featuresA Emin Orhan, Melchi M Michel, Robert A JacobsNature Neuroscience|September 17, 2013
An illusion predicted by V1 population activity implicates cortical topography in shape perceptionMelchi M Michel, Yuzhi Chen, Wilson S Geisler, et al.The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|October 5, 2018
Nonlinear Lateral Interactions in V1 Population Responses Explained by a Contrast Gain Control ModelMelchi M Michel, Yuzhi Chen, Eyal Seidemann, et al.Pageof 2