Formalizing the Function of Anterior Insula in Rapid Adaptation
暂无分享,去创建一个
[1] Britt Anderson,et al. Rejecting Outliers: Surprising Changes Do Not Always Improve Belief Updating , 2018, Decision.
[2] G. McCarthy,et al. Decisions under Uncertainty: Probabilistic Context Influences Activation of Prefrontal and Parietal Cortices , 2005, The Journal of Neuroscience.
[3] Timothy E. J. Behrens,et al. Learning the value of information in an uncertain world , 2007, Nature Neuroscience.
[4] Evan M. Gordon,et al. Neural Signatures of Economic Preferences for Risk and Ambiguity , 2006, Neuron.
[5] Nozer D. Singpurwalla,et al. Understanding the Kalman Filter , 1983 .
[6] D. Freedman,et al. On the consistency of Bayes estimates , 1986 .
[7] A. Craig,et al. How do you feel — now? The anterior insula and human awareness , 2009, Nature Reviews Neuroscience.
[8] Peter Bossaerts,et al. The Neural Representation of Unexpected Uncertainty during Value-Based Decision Making , 2013, Neuron.
[9] Peter Stone,et al. Reinforcement learning , 2019, Scholarpedia.
[10] A. Borst. Seeing smells: imaging olfactory learning in bees , 1999, Nature Neuroscience.
[11] Kenneth Hugdahl,et al. Prediction of human errors by maladaptive changes in event-related brain networks , 2008, Proceedings of the National Academy of Sciences.
[12] S. Michael Malinconico,et al. Decisions under Uncertainty. , 1984 .
[13] S. Quartz,et al. Human Insula Activation Reflects Risk Prediction Errors As Well As Risk , 2008, The Journal of Neuroscience.
[14] M. Philiastides,et al. Separate neural representations of prediction error valence and surprise: Evidence from an fMRI meta‐analysis , 2018, Human brain mapping.
[15] K. Preuschoff,et al. Adding Prediction Risk to the Theory of Reward Learning , 2007, Annals of the New York Academy of Sciences.
[16] B. Anderson,et al. Right hemisphere brain damage impairs strategy updating. , 2012, Cerebral cortex.
[17] 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.
[18] Karl J. Friston. Active inference and agency , 2014, Cognitive neuroscience.
[19] P. Dayan,et al. States versus Rewards: Dissociable Neural Prediction Error Signals Underlying Model-Based and Model-Free Reinforcement Learning , 2010, Neuron.
[20] A. Craig. Significance of the insula for the evolution of human awareness of feelings from the body. , 2011, Annals of the New York Academy of Sciences.
[21] R. Dolan,et al. The neural basis of metacognitive ability , 2012, Philosophical Transactions of the Royal Society B: Biological Sciences.
[22] Peter Dayan,et al. Expected and Unexpected Uncertainty: ACh and NE in the Neocortex , 2002, NIPS.
[23] Peter Dayan,et al. A Neural Substrate of Prediction and Reward , 1997, Science.
[24] Zhong-Lin Lu,et al. Neural correlates of risk prediction error during reinforcement learning in humans , 2009, NeuroImage.
[25] Monique Ernst,et al. Decision-making in a Risk-taking Task: A PET Study , 2002, Neuropsychopharmacology.
[26] Karl J. Friston,et al. Active inference and agency: optimal control without cost functions , 2012, Biological Cybernetics.
[27] H. Critchley,et al. Neural Activity in the Human Brain Relating to Uncertainty and Arousal during Anticipation , 2001, Neuron.
[28] Joseph T. McGuire,et al. Functionally Dissociable Influences on Learning Rate in a Dynamic Environment , 2014, Neuron.
[29] P. Dayan,et al. Uncertainty-based competition between prefrontal and dorsolateral striatal systems for behavioral control , 2005, Nature Neuroscience.
[30] Karen J. Mullinger,et al. Spatiotemporal neural characterization of prediction error valence and surprise during reward learning in humans , 2017, Scientific Reports.
[31] Corianne Rogalsky,et al. Increased activation in the right insula during risk-taking decision making is related to harm avoidance and neuroticism , 2003, NeuroImage.
[32] Norbert Kathmann,et al. Neural correlates of error awareness , 2007, NeuroImage.
[33] H. Simon,et al. Models Of Man : Social And Rational , 1957 .
[34] J. Pearce,et al. A model for Pavlovian learning: variations in the effectiveness of conditioned but not of unconditioned stimuli. , 1980, Psychological review.
[35] H. Simon,et al. Theories of Decision-Making in Economics and Behavioural Science , 1966 .
[36] Richard S. Sutton,et al. Adapting Bias by Gradient Descent: An Incremental Version of Delta-Bar-Delta , 1992, AAAI.
[37] J. O'Doherty,et al. The Role of the Ventromedial Prefrontal Cortex in Abstract State-Based Inference during Decision Making in Humans , 2006, The Journal of Neuroscience.
[38] P. Bossaerts,et al. Neural Mechanisms Behind Identification of Leptokurtic Noise and Adaptive Behavioral Response , 2016, Cerebral cortex.
[39] Karl J. Friston. The free-energy principle: a unified brain theory? , 2010, Nature Reviews Neuroscience.
[40] Karl J. Friston,et al. Dissociable Roles of Ventral and Dorsal Striatum in Instrumental Conditioning , 2004, Science.
[41] Karl J. Friston,et al. Reinforcement Learning or Active Inference? , 2009, PloS one.
[42] Karl J. Friston,et al. Temporal Difference Models and Reward-Related Learning in the Human Brain , 2003, Neuron.