Simultaneous representation of a spectrum of dynamically changing value estimates during decision making

[1]  B. Hayden,et al.  A distributed, hierarchical and recurrent framework for reward-based choice , 2017, Nature Reviews Neuroscience.

[2]  Timothy Edward John Behrens,et al.  Value, search, persistence and model updating in anterior cingulate cortex , 2016, Nature Neuroscience.

[3]  Nils Kolling,et al.  Predictive decision making driven by multiple time-linked reward representations in the anterior cingulate cortex , 2016, Nature Communications.

[4]  Emmanuel Procyk,et al.  Specific frontal neural dynamics contribute to decisions to check , 2016, Nature Communications.

[5]  Kristoffer Hougaard Madsen,et al.  Tuning the Brake While Raising the Stake: Network Dynamics during Sequential Decision-Making , 2016, The Journal of Neuroscience.

[6]  Marco K. Wittmann,et al.  Multiple signals in anterior cingulate cortex , 2016, Current Opinion in Neurobiology.

[7]  Henry Kennedy,et al.  Brain structure and dynamics across scales: in search of rules , 2016, Current Opinion in Neurobiology.

[8]  Timothy E. J. Behrens,et al.  Capturing the temporal evolution of choice across prefrontal cortex , 2015, eLife.

[9]  Marco K. Wittmann,et al.  The Good, the Bad, and the Irrelevant: Neural Mechanisms of Learning Real and Hypothetical Rewards and Effort , 2015, The Journal of Neuroscience.

[10]  C. Honey,et al.  Hierarchical process memory: memory as an integral component of information processing , 2015, Trends in Cognitive Sciences.

[11]  Robert C. Wilson,et al.  Is Model Fitting Necessary for Model-Based fMRI? , 2015, PLoS Comput. Biol..

[12]  M. Rushworth,et al.  Connectivity reveals relationship of brain areas for reward-guided learning and decision making in human and monkey frontal cortex , 2015, Proceedings of the National Academy of Sciences.

[13]  H. Kennedy,et al.  A Large-Scale Circuit Mechanism for Hierarchical Dynamical Processing in the Primate Cortex , 2015, Neuron.

[14]  Joseph W. Dubis,et al.  Spatial and Temporal Characteristics of Error-Related Activity in the Human Brain , 2015, The Journal of Neuroscience.

[15]  W. Schultz,et al.  Dopamine Modulates the Neural Representation of Subjective Value of Food in Hungry Subjects , 2014, The Journal of Neuroscience.

[16]  David J. Freedman,et al.  A hierarchy of intrinsic timescales across primate cortex , 2014, Nature Neuroscience.

[17]  Timothy Edward John Behrens,et al.  Dissociable contributions of ventromedial prefrontal and posterior parietal cortex to value-guided choice , 2014, NeuroImage.

[18]  Michael Petrides,et al.  Midcingulate Motor Map and Feedback Detection: Converging Data from Humans and Monkeys. , 2014, Cerebral cortex.

[19]  Michael L. Waskom,et al.  Frontoparietal Representations of Task Context Support the Flexible Control of Goal-Directed Cognition , 2014, The Journal of Neuroscience.

[20]  Marco K. Wittmann,et al.  Multiple Neural Mechanisms of Decision Making and Their Competition under Changing Risk Pressure , 2014, Neuron.

[21]  Z. Kurth-Nelson,et al.  Anterior Cingulate Cortex Instigates Adaptive Switches in Choice by Integrating Immediate and Delayed Components of Value in Ventromedial Prefrontal Cortex , 2014, The Journal of Neuroscience.

[22]  Nils Kolling,et al.  A neural mechanism underlying failure of optimal choice with multiple alternatives , 2014, Nature Neuroscience.

[23]  Karl J. Friston,et al.  Bayesian model selection for group studies — Revisited , 2014, NeuroImage.

[24]  B. P. Klein,et al.  Topographic Representation of Numerosity in the Human Parietal Cortex , 2013, Science.

[25]  Woojae Kim,et al.  A Model-Based fMRI Analysis with Hierarchical Bayesian Parameter Estimation. , 2013, Journal of neuroscience, psychology, and economics.

[26]  Shinsuke Shimojo,et al.  Neural Computations Underlying Arbitration between Model-Based and Model-free Learning , 2013, Neuron.

[27]  Timothy Edward John Behrens,et al.  Ventromedial Prefrontal and Anterior Cingulate Cortex Adopt Choice and Default Reference Frames during Sequential Multi-Alternative Choice , 2013, The Journal of Neuroscience.

[28]  M. Rushworth,et al.  Valuation and decision-making in frontal cortex: one or many serial or parallel systems? , 2012, Current Opinion in Neurobiology.

[29]  Mark W. Woolrich,et al.  FSL , 2012, NeuroImage.

[30]  L. Hunt,et al.  A mechanism for value-guided choice based on the excitation-inhibition balance in prefrontal cortex , 2012, Nature Neuroscience.

[31]  Timothy E. J. Behrens,et al.  Neural Mechanisms of Foraging , 2012, Science.

[32]  M. Woolrich,et al.  Mechanisms underlying cortical activity during value-guided choice , 2011, Nature Neuroscience.

[33]  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 .

[34]  Timothy E. J. Behrens,et al.  Counterfactual Choice and Learning in a Neural Network Centered on Human Lateral Frontopolar Cortex , 2011, PLoS biology.

[35]  Timothy Edward John Behrens,et al.  Diffusion-Weighted Imaging Tractography-Based Parcellation of the Human Parietal Cortex and Comparison with Human and Macaque Resting-State Functional Connectivity , 2011, The Journal of Neuroscience.

[36]  H. Seo,et al.  A reservoir of time constants for memory traces in cortical neurons , 2011, Nature Neuroscience.

[37]  Timothy Edward John Behrens,et al.  Separate value comparison and learning mechanisms in macaque medial and lateral orbitofrontal cortex , 2010, Proceedings of the National Academy of Sciences.

[38]  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.

[39]  Karl J. Friston,et al.  Bayesian model selection for group studies , 2009, NeuroImage.

[40]  Timothy Edward John Behrens,et al.  How Green Is the Grass on the Other Side? Frontopolar Cortex and the Evidence in Favor of Alternative Courses of Action , 2009, Neuron.

[41]  Jonathan D. Wallis,et al.  Neurons in the Frontal Lobe Encode the Value of Multiple Decision Variables , 2009, Journal of Cognitive Neuroscience.

[42]  Timothy E. J. Behrens,et al.  Frontal Cortex Subregions Play Distinct Roles in Choices between Actions and Stimuli , 2008, The Journal of Neuroscience.

[43]  H. Seo,et al.  Cortical mechanisms for reinforcement learning in competitive games , 2008, Philosophical Transactions of the Royal Society B: Biological Sciences.

[44]  Karl J. Friston,et al.  A Hierarchy of Time-Scales and the Brain , 2008, PLoS Comput. Biol..

[45]  Mark W Woolrich,et al.  Associative learning of social value , 2008, Nature.

[46]  E. Procyk,et al.  Behavioral Shifts and Action Valuation in the Anterior Cingulate Cortex , 2008, Neuron.

[47]  Timothy E. J. Behrens,et al.  Learning the value of information in an uncertain world , 2007, Nature Neuroscience.

[48]  H. Seo,et al.  Temporal Filtering of Reward Signals in the Dorsal Anterior Cingulate Cortex during a Mixed-Strategy Game , 2007, The Journal of Neuroscience.

[49]  Timothy E. J. Behrens,et al.  Optimal decision making and the anterior cingulate cortex , 2006, Nature Neuroscience.

[50]  P. Dayan,et al.  Cortical substrates for exploratory decisions in humans , 2006, Nature.

[51]  J. Gläscher,et al.  Formal Learning Theory Dissociates Brain Regions with Different Temporal Integration , 2005, Neuron.

[52]  M. Walton,et al.  Interactions between decision making and performance monitoring within prefrontal cortex , 2004, Nature Neuroscience.

[53]  Saori C. Tanaka,et al.  Prediction of immediate and future rewards differentially recruits cortico-basal ganglia loops , 2004, Nature Neuroscience.

[54]  Stephen M Smith,et al.  Fast robust automated brain extraction , 2002, Human brain mapping.

[55]  Michael Brady,et al.  Improved Optimization for the Robust and Accurate Linear Registration and Motion Correction of Brain Images , 2002, NeuroImage.

[56]  N. Tzourio-Mazoyer,et al.  Automated Anatomical Labeling of Activations in SPM Using a Macroscopic Anatomical Parcellation of the MNI MRI Single-Subject Brain , 2002, NeuroImage.

[57]  Stephen M. Smith,et al.  Temporal Autocorrelation in Univariate Linear Modeling of FMRI Data , 2001, NeuroImage.

[58]  S. Haber,et al.  Primate cingulostriatal projection: Limbic striatal versus sensorimotor striatal input , 1994, The Journal of comparative neurology.

[59]  Peter Dayan,et al.  Q-learning , 1992, Machine Learning.

[60]  Peter Dayan,et al.  Technical Note: Q-Learning , 2004, Machine Learning.

[61]  Samuel M. McClure,et al.  Hierarchical control over effortful behavior by rodent medial frontal cortex: A computational model. , 2015, Psychological review.

[62]  J. Agassi.  In Search for Rules , 2014 .

[63]  Karl F. Stock,et al.  A COMPUTATIONAL MODEL , 2011 .