Miguel Eckstein

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Craig K. AbbeyDept. of Psychological and Brain Sciences, UC Santa BarbaraEmail confirmado em psych.ucsb.edu
Barry GiesbrechtPsychological & Brain Sciences, UC Santa BarbaraEmail confirmado em ucsb.edu
Binh T. PhamIdaho National Laboratory (also, University of California, Santa Barbara)Email confirmado em inl.gov
Matthew F. PetersonProject Scientist, Psychological & Brain Sciences, UC Santa BarbaraEmail confirmado em ucsb.edu
JAMES P THOMASprofessor of psychoogy, uclaEmail confirmado em g.ucla.edu
Francis R. VerdunCHUVEmail confirmado em chuv.ch
Marisa CarrascoJulius Silver Professor of Psychology and Neural Science, Collegiate Professor, New York UniversityEmail confirmado em nyu.edu
Koel DasAssisociate Professor, IISER KolkataEmail confirmado em iiserkol.ac.in
Cyril CastellaPhD, Medical Physicist, Hopital du Valais, SwitzerlandEmail confirmado em hopitalvs.ch
Kathryn KoehlerUniversity of California, Santa BarbaraEmail confirmado em psych.ucsb.edu
Miguel Ángel LagoDIDSR/OSEL/CDRH/FDAEmail confirmado em fda.hhs.gov
Emre AkbasHelmholtz Munich | Middle East Technical University (METU)Email confirmado em metu.edu.tr
John M Booneprofessor of radiology, University of California DavisEmail confirmado em ucdavis.edu
Stephen MackUniversity of California, Santa BarbaraEmail confirmado em psych.ucsb.edu
Scott Grafton MDUniversity of California at Santa BarbaraEmail confirmado em psych.ucsb.edu
Jay BartroffProfessor of Statistics and Data Sciences, University of Texas at AustinEmail confirmado em austin.utexas.edu
Hubert CecottiAssociate Professor in Computer Science, California State University, FresnoEmail confirmado em csufresno.edu
Andrew WatsonChief Vision Scientist, AppleEmail confirmado em apple.com
Arturo DezaAssistant Professor in Computer Science at UTEC || Co-Founder & CEO of ArtificioEmail confirmado em utec.edu.pe
Andrew MaidmentUniversity of PennsylvaniaEmail confirmado em uphs.upenn.edu

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Miguel Eckstein

Professor of Psychological and Brain Sciences, University of California, Santa Barbara

Email confirmado em psych.ucsb.edu

Vision Attention Learning Neuroscience Cognition


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
Visual search: A retrospective MP Eckstein Journal of vision 11 (5), 14-14, 2011	663	2011
Spatial covert attention increases contrast sensitivity across the CSF: support for signal enhancement M Carrasco, C Penpeci-Talgar, M Eckstein Vision research 40 (10-12), 1203-1215, 2000	639	2000
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	393	2012
A signal detection model predicts the effects of set size on visual search accuracy for feature, conjunction, triple conjunction, and disjunction displays MP Eckstein, JP Thomas, J Palmer, SS Shimozaki Perception & psychophysics 62, 425-451, 2000	389	2000
The lower visual search efficiency for conjunctions is due to noise and not serial attentional processing MP Eckstein Psychological science 9 (2), 111-118, 1998	359	1998
Attentional cues in real scenes, saccadic targeting, and Bayesian priors MP Eckstein, BA Drescher, SS Shimozaki Psychological science 17 (11), 973-980, 2006	255	2006
The footprints of visual attention in the Posner cueing paradigm revealed by classification images MP Eckstein, SS Shimozaki, CK Abbey Journal of Vision 2 (1), 3-3, 2002	206	2002
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	202	2013
What do saliency models predict? K Koehler, F Guo, S Zhang, MP Eckstein Journal of vision 14 (3), 14-14, 2014	179	2014
Visual signal detection in structured backgrounds. II. Effects of contrast gain control, background variations, and white noise MP Eckstein, AJ Ahumada Jr, AB Watson Journal of the Optical Society of America A 14 (9), 2406-2419, 1997	173	1997
Statistical texture synthesis of mammographic images with clustered lumpy backgrounds FO Bochud, CK Abbey, MP Eckstein Optics express 4 (1), 33-43, 1999	156	1999
Classification image analysis: Estimation and statistical inference for two-alternative forced-choice experiments CK Abbey, MP Eckstein Journal of vision 2 (1), 5-5, 2002	151	2002
The time course of visual information accrual guiding eye movement decisions A Caspi, BR Beutter, MP Eckstein Proceedings of the National Academy of Sciences 101 (35), 13086-13090, 2004	148	2004
Object co-occurrence serves as a contextual cue to guide and facilitate visual search in a natural viewing environment SC Mack, MP Eckstein Journal of vision 11 (9), 9-9, 2011	134	2011
Signal detection theory applied to three visual search tasks-identification, yes/no detection and localization EL Cameron, JC Tai, MP Eckstein, M Carrasco Spatial Vision 17 (4), 295-326, 2004	133	2004
Classification images: A tool to analyze visual strategies MP Eckstein, AJ Ahumada Journal of vision 2 (1), i-i, 2002	132	2002
Stabilized estimates of Hotelling-observer detection performance in patient-structured noise HH Barrett, CK Abbey, BD Gallas, MP Eckstein Medical Imaging 1998: Image Perception 3340, 27-43, 1998	131	1998
Single-trial classification of event-related potentials in rapid serial visual presentation tasks using supervised spatial filtering H Cecotti, MP Eckstein, B Giesbrecht IEEE transactions on neural networks and learning systems 25 (11), 2030-2042, 2014	130	2014
Automated computer evaluation and optimization of image compression of x-ray coronary angiograms for signal known exactly detection tasks MP Eckstein, JL Bartroff, CK Abbey, JS Whiting, FO Bochud Optics Express 11 (5), 460-475, 2003	119	2003
A practical guide to model observers for visual detection in synthetic and natural noisy images E MP Physics and psychophysics, 2000	117	2000

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