Attention, Learning, and the Value of Information
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[1] M. Goldberg,et al. The representation of visual salience in monkey parietal cortex , 1998, Nature.
[2] R. Andersen,et al. Intention-related activity in the posterior parietal cortex: a review , 2000, Vision Research.
[3] S. Kakade,et al. Learning and selective attention , 2000, Nature Neuroscience.
[4] W. Schultz,et al. Dopamine responses comply with basic assumptions of formal learning theory , 2001, Nature.
[5] Katherine M. Armstrong,et al. Selective gating of visual signals by microstimulation of frontal cortex , 2003, Nature.
[6] W. Schultz,et al. Discrete Coding of Reward Probability and Uncertainty by Dopamine Neurons , 2003, Science.
[7] M. Goldberg,et al. Neuronal Activity in the Lateral Intraparietal Area and Spatial Attention , 2003, Science.
[8] W. Newsome,et al. Matching Behavior and the Representation of Value in the Parietal Cortex , 2004, Science.
[9] Etienne Olivier,et al. A Deficit in Covert Attention after Parietal Cortex Inactivation in the Monkey , 2004, Neuron.
[10] J. Henderson,et al. Prioritization of new objects in real-world scenes: evidence from eye movements. , 2005, Journal of experimental psychology. Human perception and performance.
[11] D. Ballard,et al. Eye movements in natural behavior , 2005, Trends in Cognitive Sciences.
[12] Takashi R Sato,et al. Neuronal Basis of Covert Spatial Attention in the Frontal Eye Field , 2005, The Journal of Neuroscience.
[13] M. Platt,et al. Risk-sensitive neurons in macaque posterior cingulate cortex , 2005, Nature Neuroscience.
[14] Angela J. Yu,et al. Uncertainty, Neuromodulation, and Attention , 2005, Neuron.
[15] J. Henderson,et al. Object appearance, disappearance, and attention prioritization in real-world scenes , 2005, Psychonomic bulletin & review.
[16] Richard S. Sutton,et al. Reinforcement Learning: An Introduction , 1998, IEEE Trans. Neural Networks.
[17] N. P. Bichot,et al. A visual salience map in the primate frontal eye field. , 2005, Progress in brain research.
[18] W. Newsome,et al. Choosing the greater of two goods: neural currencies for valuation and decision making , 2005, Nature Reviews Neuroscience.
[19] P. Vuilleumier,et al. How brains beware: neural mechanisms of emotional attention , 2005, Trends in Cognitive Sciences.
[20] Jacqueline Gottlieb,et al. Integration of Exogenous Input into a Dynamic Salience Map Revealed by Perturbing Attention , 2006, The Journal of Neuroscience.
[21] P. Redgrave,et al. The short-latency dopamine signal: a role in discovering novel actions? , 2006, Nature Reviews Neuroscience.
[22] John H. R. Maunsell,et al. Feature-based attention in visual cortex , 2006, Trends in Neurosciences.
[23] Puiu F. Balan,et al. Integration of Visuospatial and Effector Information during Symbolically Cued Limb Movements in Monkey Lateral Intraparietal Area , 2006, The Journal of Neuroscience.
[24] S. Quartz,et al. Neural Differentiation of Expected Reward and Risk in Human Subcortical Structures , 2006, Neuron.
[25] E. Vaadia,et al. Midbrain dopamine neurons encode decisions for future action , 2006, Nature Neuroscience.
[26] W. Schultz. Behavioral theories and the neurophysiology of reward. , 2006, Annual review of psychology.
[27] Xiao-Jing Wang,et al. Cortico–basal ganglia circuit mechanism for a decision threshold in reaction time tasks , 2006, Nature Neuroscience.
[28] Etienne Olivier,et al. Contribution of the Monkey Frontal Eye Field to Covert Visual Attention , 2006, The Journal of Neuroscience.
[29] K. Preuschoff,et al. Adding Prediction Risk to the Theory of Reward Learning , 2007, Annals of the New York Academy of Sciences.
[30] Michael N. Shadlen,et al. Probabilistic reasoning by neurons , 2007, Nature.
[31] P. Holland,et al. Dissociation of attention in learning and action: effects of lesions of the amygdala central nucleus, medial prefrontal cortex, and posterior parietal cortex. , 2007, Behavioral neuroscience.
[32] Angela J. Yu,et al. Should I stay or should I go? How the human brain manages the trade-off between exploitation and exploration , 2007, Philosophical Transactions of the Royal Society B: Biological Sciences.
[33] J. Gold,et al. The neural basis of decision making. , 2007, Annual review of neuroscience.
[34] Dana H. Ballard,et al. Modeling embodied visual behaviors , 2007, TAP.
[35] Mary M Hayhoe,et al. Task and context determine where you look. , 2016, Journal of vision.
[36] L. Chelazzi,et al. Neurons in Area V4 of the Macaque Translate Attended Visual Features into Behaviorally Relevant Categories , 2007, Neuron.
[37] Pierre-Yves Oudeyer,et al. Intrinsic Motivation Systems for Autonomous Mental Development , 2007, IEEE Transactions on Evolutionary Computation.
[38] Leslie G. Ungerleider,et al. The prefrontal cortex and the executive control of attention , 2008, Experimental Brain Research.
[39] Jacqueline Gottlieb,et al. Neuronal Correlates of the Set-Size Effect in Monkey Lateral Intraparietal Area , 2008, PLoS biology.
[40] Paul R. Schrater,et al. Structure Learning in Human Sequential Decision-Making , 2008, NIPS.
[41] Hatim A. Zariwala,et al. Neural correlates, computation and behavioural impact of decision confidence , 2008, Nature.
[42] N. Daw,et al. Striatal Activity Underlies Novelty-Based Choice in Humans , 2008, Neuron.
[43] Wei Ji Ma,et al. Spiking networks for Bayesian inference and choice , 2008, Current Opinion in Neurobiology.
[44] P. Dayan,et al. Decision theory, reinforcement learning, and the brain , 2008, Cognitive, affective & behavioral neuroscience.
[45] Y. Niv,et al. Dialogues on prediction errors , 2008, Trends in Cognitive Sciences.
[46] Colin Camerer,et al. Explicit neural signals reflecting reward uncertainty , 2008, Philosophical Transactions of the Royal Society B: Biological Sciences.
[47] S. Quartz,et al. Human Insula Activation Reflects Risk Prediction Errors As Well As Risk , 2008, The Journal of Neuroscience.
[48] Debasish Biswas,et al. Visualization of unsteady viscous flow around turbine blade , 2008, J. Vis..
[49] Jacqueline Gottlieb,et al. Functional Significance of Nonspatial Information in Monkey Lateral Intraparietal Area , 2009, The Journal of Neuroscience.
[50] L. Chelazzi,et al. Learning to Attend and to Ignore Is a Matter of Gains and Losses , 2009, Psychological science.
[51] J. Bisley,et al. Been there, seen that: a neural mechanism for performing efficient visual search. , 2009, Journal of neurophysiology.
[52] M. Land. Vision, eye movements, and natural behavior , 2009, Visual Neuroscience.
[53] D. Heeger,et al. The Normalization Model of Attention , 2009, Neuron.
[54] P. Glimcher,et al. The Neurobiology of Decision: Consensus and Controversy , 2009, Neuron.
[55] D. Ballard,et al. Modelling the role of task in the control of gaze , 2009, Visual cognition.
[56] Eswar Damaraju,et al. Affective learning enhances activity and functional connectivity in early visual cortex , 2009, Neuropsychologia.
[57] Ethan S. Bromberg-Martin,et al. Midbrain Dopamine Neurons Signal Preference for Advance Information about Upcoming Rewards , 2009, Neuron.
[58] George I. Christopoulos,et al. Risk-dependent reward value signal in human prefrontal cortex , 2009, Proceedings of the National Academy of Sciences.
[59] G. Zelinsky,et al. A new look at novelty effects: Guiding search away from old distractors , 2009, Attention, perception & psychophysics.
[60] Christopher J. Peck,et al. Reward Modulates Attention Independently of Action Value in Posterior Parietal Cortex , 2009, The Journal of Neuroscience.
[61] Dana H. Ballard,et al. Credit Assignment in Multiple Goal Embodied Visuomotor Behavior , 2010, Front. Psychology.
[62] Ian Krajbich,et al. Visual fixations and the computation and comparison of value in simple choice , 2010, Nature Neuroscience.
[63] W. Schultz,et al. Coding of Reward Risk by Orbitofrontal Neurons Is Mostly Distinct from Coding of Reward Value , 2010, Neuron.
[64] Jan Theeuwes,et al. Reward Guides Vision when It's Your Thing: Trait Reward-Seeking in Reward-Mediated Visual Priming , 2010, PloS one.
[65] Y. Niv,et al. Learning latent structure: carving nature at its joints , 2010, Current Opinion in Neurobiology.
[66] Xiao-Jing Wang,et al. Internal Representation of Task Rules by Recurrent Dynamics: The Importance of the Diversity of Neural Responses , 2010, Front. Comput. Neurosci..
[67] Puiu F. Balan,et al. Attention as a decision in information space , 2010, Trends in Cognitive Sciences.
[68] Peter Dayan,et al. Pavlovian-Instrumental Interaction in ‘Observing Behavior’ , 2010, PLoS Comput. Biol..
[69] A. Dickinson,et al. Selective attention to conditioned stimuli in human discrimination learning: Untangling the effect of outcome prediction, valence, arousal and uncertainty , 2010 .
[70] M. Goldberg,et al. Attention, intention, and priority in the parietal lobe. , 2010, Annual review of neuroscience.
[71] N. Mackintosh,et al. Two theories of attention: a review and a possible integration , 2010 .
[72] Jacqueline Gottlieb,et al. Spatial and non-spatial functions of the parietal cortex , 2010, Current Opinion in Neurobiology.
[73] Karl J. Friston,et al. Is the free-energy principle neurocentric? , 2010, Nature Reviews Neuroscience.
[74] E. Salinas,et al. Perceptual decision making in less than 30 milliseconds , 2010, Nature Neuroscience.
[75] L. Chelazzi,et al. Behavioral/systems/cognitive Reward Changes Salience in Human Vision via the Anterior Cingulate , 2022 .
[76] Mary Hayhoe,et al. Visual Cognition , 2021, Encyclopedia of Evolutionary Psychological Science.
[77] Karl J. Friston,et al. Behavioral / Systems / Cognitive Striatal Prediction Error Modulates Cortical Coupling , 2010 .
[78] Daniel A. Braun,et al. Structure learning in action , 2010, Behavioural Brain Research.
[79] David J. Freedman,et al. A proposed common neural mechanism for categorization and perceptual decisions , 2011, Nature Neuroscience.
[80] Robert A. Marino,et al. Visual Adaptation and Novelty Responses in the Superior Colliculus , 2022 .
[81] P. Glimcher,et al. Reward Value-Based Gain Control: Divisive Normalization in Parietal Cortex , 2011, The Journal of Neuroscience.
[82] Peter Bossaerts,et al. Risk, Unexpected Uncertainty, and Estimation Uncertainty: Bayesian Learning in Unstable Settings , 2011, PLoS Comput. Biol..
[83] T. Robinson,et al. A selective role for dopamine in reward learning , 2010, Nature.
[84] Timothy E. J. Behrens,et al. Giving credit where credit is due: orbitofrontal cortex and valuation in an uncertain world , 2011, Annals of the New York Academy of Sciences.
[85] Konrad Kording,et al. Annals of the New York Academy of Sciences Bayesian Models: the Structure of the World, Uncertainty, Behavior, and the Brain , 2022 .
[86] T. Moore,et al. CONTROL OF VISUAL CORTICAL SIGNALS BY PREFRONTAL DOPAMINE , 2011, Nature.
[87] P. Glimcher. Understanding dopamine and reinforcement learning: The dopamine reward prediction error hypothesis , 2011, Proceedings of the National Academy of Sciences.
[88] D. Ballard,et al. Eye guidance in natural vision: reinterpreting salience. , 2011, Journal of vision.
[89] H. Seo,et al. A reservoir of time constants for memory traces in cortical neurons , 2011, Nature Neuroscience.
[90] Y. Saalmann,et al. Cognitive and Perceptual Functions of the Visual Thalamus , 2011, Neuron.
[91] Timothy E. J. Behrens,et al. Review Frontal Cortex and Reward-guided Learning and Decision-making Figure 1. Frontal Brain Regions in the Macaque Involved in Reward-guided Learning and Decision-making Finer Grained Anatomical Divisions with Frontal Cortical Systems for Reward-guided Behavior , 2022 .
[92] P. Dayan,et al. Model-based influences on humans’ choices and striatal prediction errors , 2011, Neuron.
[93] Robert C. Wilson,et al. Expectancy-related changes in firing of dopamine neurons depend on orbitofrontal cortex , 2011, Nature Neuroscience.
[94] L. Itti,et al. Mechanisms of top-down attention , 2011, Trends in Neurosciences.
[95] Robert A. Jacobs,et al. Are People Successful at Learning Sequences of Actions on a Perceptual Matching Task? , 2011, Cogn. Sci..
[96] Richard P. Heitz,et al. Neural mechanisms of saccade target selection: gated accumulator model of the visual–motor cascade , 2011, The European journal of neuroscience.
[97] P. Holland,et al. Dissociations between medial prefrontal cortical subregions in the modulation of learning and action. , 2011, Behavioral neuroscience.
[98] Jeff B. Pelz,et al. Predictive eye movements in natural vision , 2011, Experimental Brain Research.
[99] Christopher R Fetsch,et al. Neural correlates of reliability-based cue weighting during multisensory integration , 2011, Nature Neuroscience.
[100] Robert C. Wilson,et al. Inferring Relevance in a Changing World , 2012, Front. Hum. Neurosci..
[101] Timothy E. J. Behrens,et al. Neural Mechanisms of Foraging , 2012, Science.
[102] Veit Stuphorn,et al. Supplementary Eye Field Encodes Reward Prediction Error , 2012, The Journal of Neuroscience.
[103] Braden A. Purcell,et al. From Salience to Saccades: Multiple-Alternative Gated Stochastic Accumulator Model of Visual Search , 2012, The Journal of Neuroscience.
[104] C. S. Green,et al. Brain plasticity through the life span: learning to learn and action video games. , 2012, Annual review of neuroscience.
[105] Thomas D Albright,et al. On the Perception of Probable Things: Neural Substrates of Associative Memory, Imagery, and Perception , 2012, Neuron.
[106] Paul Schrater,et al. The hippocampus and exploration: dynamically evolving behavior and neural representations , 2012, Front. Hum. Neurosci..
[107] Robert C. Wilson,et al. Rational regulation of learning dynamics by pupil–linked arousal systems , 2012, Nature Neuroscience.