A bio-inspired attention model of anticipation in gaze-contingency experiments with infants
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Jochen Triesch | Daniele Caligiore | Gianluca Baldassarre | Valerio Sperati | Rodolfo Marraffa | D. Caligiore | G. Baldassarre | J. Triesch | Valerio Sperati | Rodolfo Marraffa | Daniele Caligiore
[1] C. Von Hofsten. An action perspective on motor development. , 2004, Trends in cognitive sciences.
[2] M. Chun,et al. Contextual cueing of visual attention , 2022 .
[3] Katsunari Shibata,et al. Learning of Active Perception Based on Reinforcement Learning , 1996 .
[4] Christof Koch,et al. A Model of Saliency-Based Visual Attention for Rapid Scene Analysis , 2009 .
[5] Matthew de Brecht,et al. A neural network implementation of a saliency map model , 2006, Neural Networks.
[6] G. Bronson,et al. Changes in infants' visual scanning across the 2- to 14-week age period. , 1990, Journal of experimental child psychology.
[7] Subhransu Maji,et al. Confidence Based updation of Motion Conspicuity in Dynamic Scenes , 2006, The 3rd Canadian Conference on Computer and Robot Vision (CRV'06).
[8] Sridhar Mahadevan,et al. A reinforcement learning model of selective visual attention , 2001, AGENTS '01.
[9] A. Graybiel. The Basal Ganglia and Chunking of Action Repertoires , 1998, Neurobiology of Learning and Memory.
[10] Eliana M. Klier,et al. The superior colliculus encodes gaze commands in retinal coordinates , 2001, Nature Neuroscience.
[11] S. Kastner,et al. Topographic maps in human frontal and parietal cortex , 2009, Trends in Cognitive Sciences.
[12] G. Baldassarre,et al. A neural-network reinforcement-learning model of domestic chicks that learn to localize the centre of closed arenas , 2007, Philosophical Transactions of the Royal Society B: Biological Sciences.
[13] Andrew G. Barto,et al. Reinforcement learning , 1998 .
[14] A. Barto,et al. Optimal Control Methods for Simulating the Perception of Causality in Young Infants , 2020, Proceedings of the Twenty First Annual Conference of the Cognitive Science Society.
[15] C. Hofsten. An action perspective on motor development , 2004, Trends in Cognitive Sciences.
[16] S. Treue. Visual attention: the where, what, how and why of saliency , 2003, Current Opinion in Neurobiology.
[17] D. Parisi,et al. TRoPICALS: a computational embodied neuroscience model of compatibility effects. , 2010, Psychological review.
[18] C. Balkenius. Attention, habituation and conditioning: toward a computational model , 2000 .
[19] O. Hikosaka,et al. Role of the basal ganglia in the control of purposive saccadic eye movements. , 2000, Physiological reviews.
[20] Christian Balkenius,et al. A Reinforcement-Learning Model of Top-Down Attention Based on a Potential-Action Map , 2008, The Challenge of Anticipation.
[21] A. L. Yarbus,et al. Eye Movements and Vision , 1967, Springer US.
[22] Richard S. Sutton,et al. Dimensions of Reinforcement Learning , 1998 .
[23] D. Parisi,et al. The Agent-Based Approach: A New Direction for Computational Models of Development , 2001 .
[24] Giovanni Pezzulo,et al. How can bottom-up information shape learning of top-down attention-control skills? , 2010, 2010 IEEE 9th International Conference on Development and Learning.
[25] Jochen Triesch,et al. Infants in Control: Rapid Anticipation of Action Outcomes in a Gaze-Contingent Paradigm , 2012, PloS one.
[26] M. Haith,et al. Expectation and anticipation of dynamic visual events by 3.5-month-old babies. , 1988, Child development.
[27] Jochen Triesch,et al. Emergence of Mirror Neurons in a Model of Gaze Following , 2007, Adapt. Behav..
[28] Christof Koch,et al. Modeling attention to salient proto-objects , 2006, Neural Networks.
[29] Christian Balkenius,et al. Integrating Epistemic Action (Active Vision) and Pragmatic Action (Reaching): A Neural Architecture for Camera-Arm Robots , 2008, SAB.
[30] C. Koch,et al. Computational modelling of visual attention , 2001, Nature Reviews Neuroscience.
[31] Mark H. Johnson,et al. Components of Visual Orienting in Early Infancy: Contingency Learning, Anticipatory Looking, and Disengaging , 1991, Journal of Cognitive Neuroscience.
[32] Jürgen Schmidhuber,et al. Learning to Generate Artificial Fovea Trajectories for Target Detection , 1991, Int. J. Neural Syst..
[33] Gianluca Baldassarre,et al. What are intrinsic motivations? A biological perspective , 2011, 2011 IEEE International Conference on Development and Learning (ICDL).
[34] Jochen Triesch,et al. Learning to Attend - From Bottom-Up to Top-Down , 2008, WAPCV.
[35] S. Reder. On-line monitoring of eye-position signals in contingent and noncontingent paradigms , 1973 .
[36] G. Schöner,et al. Dynamic Field Theory of Movement Preparation , 2022 .
[37] Claes von Hofsten,et al. Action in development. , 2007, Developmental science.
[38] A. L. I︠A︡rbus. Eye Movements and Vision , 1967 .
[39] D. Hubel. Eye, brain, and vision , 1988 .
[40] Hanno Scharr,et al. Principles of Filter Design , 1999 .
[41] J. Lisman,et al. The Hippocampal-VTA Loop: Controlling the Entry of Information into Long-Term Memory , 2005, Neuron.