Optimal planning of eye movements
暂无分享,去创建一个
[1] Pietro Perona,et al. Optimal reward harvesting in complex perceptual environments , 2010, Proceedings of the National Academy of Sciences.
[2] Peter Dayan,et al. Interplay of approximate planning strategies , 2015, Proceedings of the National Academy of Sciences.
[3] Quoc C. Vuong,et al. Influence of encoding context on face recognition , 2010 .
[4] A. Yuille,et al. Object perception as Bayesian inference. , 2004, Annual review of psychology.
[5] Adam Binch,et al. Perception as Bayesian Inference , 2014 .
[6] P. Berkes,et al. Statistically Optimal Perception and Learning: from Behavior to Neural Representations , 2022 .
[7] Daniel M. Wolpert,et al. Making smooth moves , 2022 .
[8] Jitendra Malik,et al. An Information Maximization Model of Eye Movements , 2004, NIPS.
[9] W. Geisler. Ideal Observer Analysis , 2002 .
[10] R. J. Beers. The Sources of Variability in Saccadic Eye Movements , 2007 .
[11] M. Hayhoe,et al. In what ways do eye movements contribute to everyday activities? , 2001, Vision Research.
[12] Antonio Torralba,et al. Contextual guidance of eye movements and attention in real-world scenes: the role of global features in object search. , 2006, Psychological review.
[13] J. Gottlieb. Attention, Learning, and the Value of Information , 2012, Neuron.
[14] D. Ballard,et al. Eye movements in natural behavior , 2005, Trends in Cognitive Sciences.
[15] Scott Cheng-Hsin Yang,et al. Theoretical perspectives on active sensing , 2016, Current Opinion in Behavioral Sciences.
[16] Frans A. J. Verstraten,et al. Saccades Toward the Target Are Planned as Sequences Rather Than as Single Steps , 2013, Psychological science.
[17] Yiannis Aloimonos,et al. Vision and action , 1995, Image Vis. Comput..
[18] R. Bellman. A Markovian Decision Process , 1957 .
[19] Wilson S. Geisler,et al. Real-time foveated multiresolution system for low-bandwidth video communication , 1998, Electronic Imaging.
[20] Michael I. Jordan,et al. Optimal feedback control as a theory of motor coordination , 2002, Nature Neuroscience.
[21] Manuel Lopes,et al. Parietal neurons encode expected gains in instrumental information , 2017, Proceedings of the National Academy of Sciences.
[22] Adam N. Sanborn,et al. The Sampling Brain , 2017, Trends in Cognitive Sciences.
[23] Konrad Paul Kording,et al. Bayesian integration in sensorimotor learning , 2004, Nature.
[24] Wei Ji Ma,et al. Bayesian inference with probabilistic population codes , 2006, Nature Neuroscience.
[25] Scott Cheng-Hsin Yang,et al. Active sensing in the categorization of visual patterns , 2016, eLife.
[26] Carolina M. Zingale,et al. Planning sequences of saccades , 1987, Vision Research.
[27] W. Geisler,et al. Contributions of ideal observer theory to vision research , 2011, Vision Research.
[28] Johan Kwisthout,et al. Bridging the gap between theory and practice of approximate Bayesian inference , 2013, Cognitive Systems Research.
[29] N. Chater,et al. Précis of Bayesian Rationality: The Probabilistic Approach to Human Reasoning , 2009, Behavioral and Brain Sciences.
[30] M. Wiener,et al. Animal eyes. , 1957, The American orthoptic journal.
[31] Wilson S. Geisler,et al. Optimal eye movement strategies in visual search , 2005, Nature.
[32] Leslie Pack Kaelbling,et al. Planning and Acting in Partially Observable Stochastic Domains , 1998, Artif. Intell..
[33] Samuel J. Gershman,et al. Computational rationality: A converging paradigm for intelligence in brains, minds, and machines , 2015, Science.
[34] P. Dayan,et al. Uncertainty-based competition between prefrontal and dorsolateral striatal systems for behavioral control , 2005, Nature Neuroscience.
[35] P. Subramanian. Active Vision: The Psychology of Looking and Seeing , 2006 .
[36] C. Koch,et al. A saliency-based search mechanism for overt and covert shifts of visual attention , 2000, Vision Research.
[37] Alexander C. Schütz,et al. Dynamic integration of information about salience and value for saccadic eye movements , 2012, Proceedings of the National Academy of Sciences.
[38] Pierre Baldi,et al. Bayesian surprise attracts human attention , 2005, Vision Research.
[39] R. J. van Beers,et al. The Sources of Variability in Saccadic Eye Movements , 2007, The Journal of Neuroscience.
[40] Constantin A Rothkopf,et al. Learning rational temporal eye movement strategies , 2016, Proceedings of the National Academy of Sciences.
[41] J. Tenenbaum,et al. Theory-based Bayesian models of inductive learning and reasoning , 2006, Trends in Cognitive Sciences.
[42] Preeti Verghese,et al. Where to look next? Eye movements reduce local uncertainty. , 2007, Journal of vision.
[43] Matthew F. Peterson,et al. Looking just below the eyes is optimal across face recognition tasks , 2012, Proceedings of the National Academy of Sciences.
[44] Matthew Heath,et al. Stimulus-driven saccades are characterized by an invariant undershooting bias: no evidence for a range effect , 2013, Experimental Brain Research.
[45] M. Ernst,et al. Humans integrate visual and haptic information in a statistically optimal fashion , 2002, Nature.
[46] R. Baloh,et al. Quantitative measurement of saccade amplitude, duration, and velocity , 1975, Neurology.
[47] C. Harris,et al. Does saccadic undershoot minimize saccadic flight-time? A Monte-Carlo study , 1995, Vision Research.
[48] Richard S. Sutton,et al. Reinforcement Learning: An Introduction , 1998, IEEE Trans. Neural Networks.
[49] Heiner Deubel,et al. Properties of attentional selection during the preparation of sequential saccades , 2007, Experimental Brain Research.