Set size manipulations reveal the boundary conditions of perceptual ensemble learning
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Árni Kristjánsson | Andrey Chetverikov | Gianluca Campana | A. Chetverikov | G. Campana | Á. Kristjánsson
[1] I. Utochkin,et al. Parallel averaging of size is possible but range-limited: a reply to Marchant, Simons, and De Fockert. , 2014, Acta psychologica.
[2] D. Ariely. Seeing Sets: Representation by Statistical Properties , 2001, Psychological science.
[3] K. May,et al. Inefficiency of orientation averaging: Evidence for hybrid serial/parallel temporal integration. , 2016, Journal of vision.
[4] Hee Yeon Im,et al. Ensemble statistics as units of selection , 2015 .
[5] A. Ishiguchi,et al. Evidence for a Global Sampling Process in Extraction of Summary Statistics of Item Sizes in a Set , 2016, Front. Psychol..
[6] P. Tiňo,et al. Learning predictive statistics from temporal sequences: Dynamics and strategies , 2017, Journal of vision.
[7] Glyn W Humphreys,et al. Dissociating the effects of similarity, salience, and top-down processes in search for linearly separable size targets , 2006, Perception & psychophysics.
[8] Wei Ji Ma,et al. Requiem for the max rule? , 2015, Vision Research.
[9] Honghua Chang,et al. Search performance is better predicted by tileability than presence of a unique basic feature , 2016, Journal of vision.
[10] D. Simons,et al. Better than average: Alternatives to statistical summary representations for rapid judgments of average size , 2008, Perception & psychophysics.
[11] Preeti Verghese,et al. Smooth pursuit eye movements in patients with macular degeneration , 2016, Journal of vision.
[12] A. Chetverikov,et al. Representing Color Ensembles , 2017, Psychological science.
[13] Dragan Rangelov,et al. Visual search for feature singletons: multiple mechanisms produce sequence effects in visual search. , 2013, Journal of vision.
[14] Hee Yeon Im,et al. The effects of sampling and internal noise on the representation of ensemble average size , 2012, Attention, Perception, & Psychophysics.
[15] Árni Kristjánsson,et al. Episodic retrieval and feature facilitation in intertrial priming of visual search , 2011, Attention, perception & psychophysics.
[16] Cathleen M Moore,et al. Summary statistics of size: fixed processing capacity for multiple ensembles but unlimited processing capacity for single ensembles. , 2014, Journal of experimental psychology. Human perception and performance.
[17] Stefanie I. Becker,et al. The role of target-distractor relationships in guiding attention and the eyes in visual search. , 2010, Journal of experimental psychology. General.
[18] J. Wolfe,et al. Five factors that guide attention in visual search , 2017, Nature Human Behaviour.
[19] Jonathan W. Peirce,et al. PsychoPy—Psychophysics software in Python , 2007, Journal of Neuroscience Methods.
[20] R. Rosenholtz,et al. A summary statistic representation in peripheral vision explains visual search. , 2009, Journal of vision.
[21] Stefanie I. Becker,et al. Higher set sizes in pop-out search displays do not eliminate priming or enhance target selection , 2013, Vision Research.
[22] Dragan Rangelov,et al. Failure to Pop Out: Feature Singletons Do Not Capture Attention Under Low Signal-to-Noise Ratio Conditions , 2017, Journal of experimental psychology. General.
[23] Deniz Başkent,et al. Normal-Hearing Listeners’ and Cochlear Implant Users’ Perception of Pitch Cues in Emotional Speech , 2015, i-Perception.
[24] Árni Kristjánsson,et al. Priming in visual search: Separating the effects of target repetition, distractor repetition and role-reversal , 2008, Vision Research.
[25] S. Dakin. Information limit on the spatial integration of local orientation signals. , 2001, Journal of the Optical Society of America. A, Optics, image science, and vision.
[26] David Whitney,et al. Exaggerated groups: amplification in ensemble coding of temporal and spatial features , 2018, Proceedings of the Royal Society B: Biological Sciences.
[27] ohn,et al. Accurate rapid averaging of multihue ensembles is due to a limited capacity subsampling mechanism , 2019 .
[28] Jonathan Westley Peirce,et al. Generating Stimuli for Neuroscience Using PsychoPy , 2008, Front. Neuroinform..
[29] G. Alvarez. Representing multiple objects as an ensemble enhances visual cognition , 2011, Trends in Cognitive Sciences.
[30] Nancy B. Carlisle,et al. How visual working memory contents influence priming of visual attention , 2018, Psychological research.
[31] R. Rosenholtz,et al. A summary-statistic representation in peripheral vision explains visual crowding. , 2009, Journal of vision.
[32] B. Julesz. Textons, the elements of texture perception, and their interactions , 1981, Nature.
[33] Arni Kristjansson,et al. Efficient visual search without top-down or bottom-up guidance , 2005, Perception & psychophysics.
[34] K. Nakayama,et al. Priming of pop-out: I. Role of features , 1994, Memory & cognition.
[35] S. Shergill,et al. Local and Global Limits on Visual Processing in Schizophrenia , 2015, PloS one.
[36] Árni Kristjánsson,et al. Reconsidering Visual Search , 2015, i-Perception.
[37] J. Wagemans. The Oxford handbook of perceptual organization , 2015 .
[38] M. Bravo,et al. The role of attention in different visual-search tasks , 1992, Perception & psychophysics.
[39] A. Chetverikov,et al. Building ensemble representations: How the shape of preceding distractor distributions affects visual search , 2016, Cognition.
[40] A. Franklin,et al. Effects of ensemble complexity and perceptual similarity on rapid averaging of hue. , 2015, Journal of vision.
[41] D. Bates,et al. Fitting Linear Mixed-Effects Models Using lme4 , 2014, 1406.5823.
[42] C. Moore,et al. The capacity limitations of orientation summary statistics , 2015, Attention, perception & psychophysics.
[43] D. Lamy,et al. Orientation search is mediated by distractor suppression: Evidence from priming of pop-out , 2013, Vision Research.
[44] Dominique Lamy,et al. Priming of Pop-out provides reliable measures of target activation and distractor inhibition in selective attention , 2008, Vision Research.
[45] Paolo Martini,et al. System identification in Priming of Pop-Out , 2010, Vision Research.
[46] J. Brascamp,et al. Priming of pop-out on multiple time scales during visual search , 2011, Vision Research.
[47] Christian N. L. Olivers,et al. Intertrial priming stemming from ambiguity: A new account of priming in visual search , 2006 .
[48] David Melcher,et al. Stable statistical representations facilitate visual search. , 2014, Journal of experimental psychology. Human perception and performance.
[49] M. Johnson,et al. Circulating microRNAs in Sera Correlate with Soluble Biomarkers of Immune Activation but Do Not Predict Mortality in ART Treated Individuals with HIV-1 Infection: A Case Control Study , 2015, PloS one.
[50] Igor S Utochkin,et al. Similarity and heterogeneity effects in visual search are mediated by "segmentability". , 2016, Journal of experimental psychology. Human perception and performance.
[51] J. Wolfe,et al. Changing your mind: on the contributions of top-down and bottom-up guidance in visual search for feature singletons. , 2003, Journal of experimental psychology. Human perception and performance.
[52] C. Summerfield,et al. Priming by the variability of visual information , 2014, Proceedings of the National Academy of Sciences.
[53] David Whitney,et al. Ensemble perception: Summarizing the scene and broadening the limits of visual processing. , 2012 .
[54] I. Utochkin,et al. Ensemble summary statistics as a basis for rapid visual categorization. , 2015, Journal of vision.
[55] G. Campana,et al. Where perception meets memory: A review of repetition priming in visual search tasks , 2010, Attention, perception & psychophysics.
[56] Dominique Lamy,et al. Visual consciousness and intertrial feature priming. , 2013, Journal of vision.
[57] Árni Kristjánsson,et al. Rapid learning of visual ensembles. , 2017, Journal of vision.