Matthew F. Peterson

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Miguel EcksteinProfessor of Psychological and Brain Sciences, University of California, Santa BarbaraVerified email at psych.ucsb.edu
Nancy KanwisherWalter A. Rosenblith Professor of Cognitive NeuroscienceVerified email at mit.edu
Charles OrNanyang Technological University, SingaporeVerified email at ntu.edu.sg
Ian ZaunMITVerified email at mit.edu
Craig K. AbbeyDept. of Psychological and Brain Sciences, UC Santa BarbaraVerified email at psych.ucsb.edu
Binh T. PhamIdaho National Laboratory (also, University of California, Santa Barbara)Verified email at inl.gov
Barry GiesbrechtPsychological & Brain Sciences, UC Santa BarbaraVerified email at ucsb.edu
Koel DasAssisociate Professor, IISER KolkataVerified email at iiserkol.ac.in
Jocelyn SyPost-doctoral researcher, Vanderbilt UniversityVerified email at vanderbilt.edu
Joshua B. TenenbaumMITVerified email at mit.edu
Tobias GerstenbergStanford UniversityVerified email at stanford.edu
Noah D. GoodmanStanford UniversityVerified email at stanford.edu
David LagnadoUniversity College LondonVerified email at ucl.ac.uk
Scott Grafton MDUniversity of California at Santa BarbaraVerified email at psych.ucsb.edu
William Yang WangMellichamp Chair Professor, University of California, Santa BarbaraVerified email at cs.ucsb.edu
Brad DuchaineDartmouth CollegeVerified email at dartmouth.edu
Gabriel KreimanProfessor, Harvard Medical School and Children's HospitalVerified email at tch.harvard.edu
Jiahui GuoDepartment of Psychological and Brain Sciences, Dartmouth CollegeVerified email at dartmouth.edu
Kathryn KoehlerUniversity of California, Santa BarbaraVerified email at psych.ucsb.edu
Emre AkbasHelmholtz Munich | Department of Computer Engineering, Middle East Technical UniversityVerified email at metu.edu.tr

Matthew F. Peterson

Project Scientist, Psychological & Brain Sciences, UC Santa Barbara

Verified email at ucsb.edu - Homepage

Face recognition eye movements computational modeling mind & machine intelligence


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Looking just below the eyes is optimal across face recognition tasks MF Peterson, MP Eckstein Proceedings of the National Academy of Sciences 109 (48), E3314-E3323, 2012	389	2012
Individual differences in eye movements during face identification reflect observer-specific optimal points of fixation MF Peterson, MP Eckstein Psychological science 24 (7), 1216-1225, 2013	200	2013
Eye-tracking causality T Gerstenberg, MF Peterson, ND Goodman, DA Lagnado, JB Tenenbaum Psychological science 28 (12), 1731-1744, 2017	146	2017
Initial eye movements during face identification are optimal and similar across cultures CCF Or, MF Peterson, MP Eckstein Journal of vision 15 (13), 12-12, 2015	114	2015
Counterfactual vision-and-language navigation via adversarial path sampler TJ Fu, XE Wang, MF Peterson, ST Grafton, MP Eckstein, WY Wang Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020	100	2020
Neural decoding of collective wisdom with multi-brain computing MP Eckstein, K Das, BT Pham, MF Peterson, CK Abbey, JL Sy, ... NeuroImage 59 (1), 94-108, 2012	86	2012
Statistical decision theory to relate neurons to behavior in the study of covert visual attention MP Eckstein, MF Peterson, BT Pham, JA Droll Vision research 49 (10), 1097-1128, 2009	86	2009
Individual differences in face-looking behavior generalize from the lab to the world MF Peterson, J Lin, I Zaun, N Kanwisher Journal of vision 16 (7), 12-12, 2016	78	2016
Minimal memory for details in real life events P Misra, A Marconi, M Peterson, G Kreiman Scientific reports 8 (1), 16701, 2018	31	2018
Learning optimal eye movements to unusual faces MF Peterson, MP Eckstein Vision research 99, 57-68, 2014	25	2014
Eye movements and retinotopic tuning in developmental prosopagnosia MF Peterson, I Zaun, H Hoke, G Jiahui, B Duchaine, N Kanwisher Journal of vision 19 (9), 7-7, 2019	17	2019
Fixating the eyes is an optimal strategy across important face (related) tasks MF Peterson, MP Eckstein Journal of Vision 11 (11), 662-662, 2011	13	2011
The surprisingly high human efficiency at learning to recognize faces MF Peterson, CK Abbey, MP Eckstein Vision Research 49 (3), 301-314, 2009	10	2009
The use of the eyes for human face recognition explained through information distribution analysis M Peterson, I Cox, M Eckstein Journal of Vision 8 (6), 894-894, 2008	5	2008
First fixations during face identification are invariant to rotation and scale MF Peterson, MP Eckstein Journal of Vision 13 (9), 400-400, 2013	2	2013
Human versus bayesian optimal learning of eye movement strategies during visual search K Koehler, E Akbas, M Peterson, MP Eckstein Journal of Vision 12 (9), 1142-1142, 2012	2	2012
Information distribution for face identificaiton and its relation to human strategies M Peterson, C Abbey, M Eckstein Journal of Vision 7 (9), 121-121, 2007	2	2007
Retinal Image Statistics During Real-World Visual Experience M Peterson, J Lin, N Kanwisher Journal of Vision 16 (12), 242-242, 2016	1	2016
Where do people look on faces in the real world? M Peterson, N Kanwisher Journal of Vision 15 (12), 696-696, 2015	1	2015
Asian and Caucasian observers’ initial eye movements during face identification are similar and optimal CCF Or, MF Peterson, MP Eckstein Journal of Vision 13 (9), 1273-1273, 2013	1	2013

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