Miguel Eckstein
Miguel Eckstein
Professor of Psychological and Brain Sciences, University of California, Santa Barbara
Bestätigte E-Mail-Adresse bei
Zitiert von
Zitiert von
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
Visual search: A retrospective
MP Eckstein
Journal of vision 11 (5), 14-14, 2011
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
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
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
Attentional cues in real scenes, saccadic targeting, and Bayesian priors
MP Eckstein, BA Drescher, SS Shimozaki
Psychological science 17 (11), 973-980, 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
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
Visual signal detection in structured backgrounds. II. Effects of contrast gain control, background variations, and white noise
MP Eckstein, AJ Ahumada, AB Watson
JOSA A 14 (9), 2406-2419, 1997
What do saliency models predict?
K Koehler, F Guo, S Zhang, MP Eckstein
Journal of vision 14 (3), 14-14, 2014
Statistical texture synthesis of mammographic images with clustered lumpy backgrounds
FO Bochud, CK Abbey, MP Eckstein
Optics express 4 (1), 33-43, 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
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
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
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
Classification images: A tool to analyze visual strategies
MP Eckstein, AJ Ahumada
Journal of vision 2 (1), i-i, 2002
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
A practical guide to model observers for visual detection in synthetic and natural noisy images
Physics and psychophysics, 2000
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
Visual signal detection in structured backgrounds I. Effect of number of possible spatial locations and signal contrast
MP Eckstein, JS Whiting
JOSA A 13 (9), 1777-1787, 1996
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