Forget-me-some: General versus special purpose models in a hierarchical probabilistic task
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Peter Dayan | Sven Bestmann | Louise Marshall | Franziska Bröker | P. Dayan | L. Marshall | S. Bestmann | F. Bröker
[1] Michael I. Jordan,et al. Advances in Neural Information Processing Systems 30 , 1995 .
[2] C. Gallistel,et al. The rat approximates an ideal detector of changes in rates of reward: implications for the law of effect. , 2001, Journal of experimental psychology. Animal behavior processes.
[3] W. Kunde,et al. Response-effect compatibility in manual choice reaction tasks. , 2001, Journal of experimental psychology. Human perception and performance.
[4] Peter Dayan,et al. Acetylcholine in cortical inference , 2002, Neural Networks.
[5] David S. Touretzky,et al. Long-Term Reward Prediction in TD Models of the Dopamine System , 2002, Neural Computation.
[6] O. Hikosaka,et al. Chunking during human visuomotor sequence learning , 2003, Experimental Brain Research.
[7] Kae Nakamura,et al. Emergence of rhythm during motor learning , 2004, Trends in Cognitive Sciences.
[8] S. Ghirlanda. Retrospective revaluation as simple associative learning. , 2005, Journal of experimental psychology. Animal behavior processes.
[9] Angela J. Yu,et al. Uncertainty, Neuromodulation, and Attention , 2005, Neuron.
[10] Karl J. Friston,et al. Encoding uncertainty in the hippocampus , 2006, Neural Networks.
[11] R. Dolan,et al. Dopamine-dependent prediction errors underpin reward-seeking behaviour in humans , 2006, Nature.
[12] Angela J. Yu,et al. Phasic norepinephrine: A neural interrupt signal for unexpected events , 2006, Network.
[13] P. Dayan,et al. Tonic dopamine: opportunity costs and the control of response vigor , 2007, Psychopharmacology.
[14] R. Shadmehr,et al. Interacting Adaptive Processes with Different Timescales Underlie Short-Term Motor Learning , 2006, PLoS biology.
[15] Timothy E. J. Behrens,et al. Learning the value of information in an uncertain world , 2007, Nature Neuroscience.
[16] E. Miller,et al. A Neural Circuit Model of Flexible Sensorimotor Mapping: Learning and Forgetting on Multiple Timescales , 2007, Neuron.
[17] Paul R. Schrater,et al. Structure Learning in Human Sequential Decision-Making , 2008, NIPS.
[18] Jonathan D. Cohen,et al. Sequential effects: Superstition or rational behavior? , 2008, NIPS.
[19] Karl J. Friston,et al. Predictive coding under the free-energy principle , 2009, Philosophical Transactions of the Royal Society B: Biological Sciences.
[20] J. Tenenbaum,et al. Structured statistical models of inductive reasoning. , 2009, Psychological review.
[21] Melody Dye,et al. The Effects of Feature-Label-Order and Their Implications for Symbolic Learning , 2010, Cogn. Sci..
[22] Y. Niv,et al. Learning latent structure: carving nature at its joints , 2010, Current Opinion in Neurobiology.
[23] Karl J. Friston,et al. Observing the Observer (I): Meta-Bayesian Models of Learning and Decision-Making , 2010, PloS one.
[24] Robert C. Wilson,et al. An Approximately Bayesian Delta-Rule Model Explains the Dynamics of Belief Updating in a Changing Environment , 2010, The Journal of Neuroscience.
[25] Maxime J Parent,et al. Movement chunking during sequence learning is a dopamine-dependant process: a study conducted in Parkinson’s disease , 2010, Experimental Brain Research.
[26] W. Penny,et al. Time Scales of Representation in the Human Brain: Weighing Past Information to Predict Future Events , 2011, Front. Hum. Neurosci..
[27] Peter Dayan,et al. Vigor in the Face of Fluctuating Rates of Reward: An Experimental Examination , 2011, Journal of Cognitive Neuroscience.
[28] H. Seo,et al. A reservoir of time constants for memory traces in cortical neurons , 2011, Nature Neuroscience.
[29] Timothy E. J. Behrens,et al. Perceptual Classification in a Rapidly Changing Environment , 2011, Neuron.
[30] Pradeep Shenoy,et al. Rational Decision-Making in Inhibitory Control , 2011, Front. Hum. Neurosci..
[31] N. Daw,et al. Dissociating hippocampal and striatal contributions to sequential prediction learning , 2012, The European journal of neuroscience.
[32] Scott T. Grafton,et al. Differential Recruitment of the Sensorimotor Putamen and Frontoparietal Cortex during Motor Chunking in Humans , 2012, Neuron.
[33] J. Rothwell,et al. Action Reprogramming in Parkinson's Disease: Response to Prediction Error Is Modulated by Levels of Dopamine , 2012, The Journal of Neuroscience.
[34] Stefan J. Kiebel,et al. Evidence for neural encoding of Bayesian surprise in human somatosensation , 2012, NeuroImage.
[35] C. Mathys,et al. Hierarchical Prediction Errors in Midbrain and Basal Forebrain during Sensory Learning , 2013, Neuron.
[36] Carolyn E. Jones,et al. Gradual extinction prevents the return of fear: implications for the discovery of state , 2013, Front. Behav. Neurosci..
[37] Joshua I. Gold,et al. A Mixture of Delta-Rules Approximation to Bayesian Inference in Change-Point Problems , 2013, PLoS Comput. Biol..
[38] Ulrik R Beierholm,et al. Dopamine Modulates Reward-Related Vigor , 2013, Neuropsychopharmacology.
[39] Matthew H. Wilder,et al. Sequential effects in response time reveal learning mechanisms and event representations. , 2013, Psychological review.
[40] David J. Freedman,et al. A hierarchy of intrinsic timescales across primate cortex , 2014, Nature Neuroscience.
[41] T. Robbins,et al. Serotonin Depletion Induces ‘Waiting Impulsivity’ on the Human Four-Choice Serial Reaction Time Task: Cross-Species Translational Significance , 2014, Neuropsychopharmacology.
[42] Karl J. Friston,et al. Cholinergic Stimulation Enhances Bayesian Belief Updating in the Deployment of Spatial Attention , 2014, The Journal of Neuroscience.
[43] He Huang,et al. Sequential effects: A Bayesian analysis of prior bias on reaction time and behavioral choice , 2014, CogSci.
[44] Karl J. Friston,et al. Uncertainty in perception and the Hierarchical Gaussian Filter , 2014, Front. Hum. Neurosci..
[45] Klaas E. Stephan,et al. Inferring on the Intentions of Others by Hierarchical Bayesian Learning , 2014, PLoS Comput. Biol..
[46] Sven Bestmann,et al. The Role of Dopamine in Motor Flexibility , 2014, Journal of Cognitive Neuroscience.
[47] Robert C. Wilson,et al. Reinforcement Learning in Multidimensional Environments Relies on Attention Mechanisms , 2015, The Journal of Neuroscience.
[48] P. Dayan,et al. Pharmacological Fingerprints of Contextual Uncertainty , 2016, PLoS biology.
[49] Florent Meyniel,et al. Human Inferences about Sequences: A Minimal Transition Probability Model , 2016, bioRxiv.
[50] S. Thompson-Schill,et al. Varying Timescales of Stimulus Integration Unite Neural Adaptation and Prototype Formation , 2016, Current Biology.
[51] S. Cavanagh,et al. Autocorrelation structure at rest predicts value correlates of single neurons during reward-guided choice , 2016, eLife.
[52] Joshua W. Brown,et al. Neural Mechanisms of Credit Assignment in a Multicue Environment , 2016, The Journal of Neuroscience.
[53] William T. Newsome,et al. Learning fast and slow: deviations from the matching law can reflect an optimal strategy under uncertainty , 2017, bioRxiv.
[54] C. Mathys,et al. Representational Uncertainty in the Brain During Threat Conditioning and the Link With Psychopathic Traits. , 2017, Biological psychiatry. Cognitive neuroscience and neuroimaging.
[55] G. Rees,et al. Adults with autism over-estimate the volatility of the sensory environment , 2017, Nature Neuroscience.
[56] Gergő Orbán,et al. Measuring and Filtering Reactive Inhibition is Essential for Assessing Serial Decision Making and Learning , 2017, Journal of experimental psychology. General.
[57] Albert R. Powers,et al. Pavlovian conditioning–induced hallucinations result from overweighting of perceptual priors , 2017, Science.
[58] Lilian A. E. Weber,et al. Hierarchical prediction errors in midbrain and septum during social learning , 2017, Social cognitive and affective neuroscience.
[59] Elyse H. Norton,et al. Suboptimal Criterion Learning in Static and Dynamic Environments , 2017, PLoS Comput. Biol..
[60] P. Sterzer,et al. The Neural Correlates of Hierarchical Predictions for Perceptual Decisions , 2018, The Journal of Neuroscience.