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Arturo Deza

Affiliations: 
2013-2018 Dynamical Neuroscience University of California, Santa Barbara, Santa Barbara, CA, United States 
 2019-2020 Department of Psychology Harvard University, Cambridge, MA, United States 
 2020- Center for Brains, Minds and Machines Massachusetts Institute of Technology, Cambridge, MA, United States 
Area:
Vision Science, Computer Vision, Robotics
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Parents

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Miguel Eckstein grad student 2013-2018 UC Santa Barbara
Talia Konkle post-doc 2019- Harvard
Tomaso A. Poggio post-doc 2020- MIT

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Publications

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Janini D, Hamblin C, Deza A, et al. (2022) General object-based features account for letter perception. Plos Computational Biology. 18: e1010522
Chen YC, Deza A, Konkle T. (2022) How big should this object be? Perceptual influences on viewing-size preferences. Cognition. 225: 105114
Jonnalagadda A, Deza A, Eckstein M. (2018) A foveated object detector that misses giant and misplaced targets in scenes Journal of Vision. 18: 3
Deza A, Eckstein M. (2017) Peripheral Representations Enhance Dense Clutter Metrics in Free Search Journal of Vision. 17: 219
Deza A, Taylor G, Eckstein M. (2016) The Influence of Visual Clutter on Search Guidance with Complex Scenes Journal of Vision. 16: 1320
Deza A, Akbas E, Eckstein M. (2015) Scene context reduces distractor set-size effects during search. Journal of Vision. 15: 55
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