The Computational and Neural Basis of Cognitive Control: Charted Territory and New Frontiers
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[1] K. Lashley. The problem of serial order in behavior , 1951 .
[2] J. Knott. The organization of behavior: A neuropsychological theory , 1951 .
[3] A. Welford. THE ‘PSYCHOLOGICAL REFRACTORY PERIOD’ AND THE TIMING OF HIGH‐SPEED PERFORMANCE—A REVIEW AND A THEORY , 1952 .
[4] I. Kaufman,et al. Cerebral Mechanisms in Behavior. The Hixon Symposium , 1953 .
[5] G. A. Miller. THE PSYCHOLOGICAL REVIEW THE MAGICAL NUMBER SEVEN, PLUS OR MINUS TWO: SOME LIMITS ON OUR CAPACITY FOR PROCESSING INFORMATION 1 , 1956 .
[6] D. Berlyne. Uncertainty and conflict: a point of contact between information-theory and behavior-theory concepts. , 1957, Psychology Review.
[7] F ROSENBLATT,et al. The perceptron: a probabilistic model for information storage and organization in the brain. , 1958, Psychological review.
[8] G. Miller,et al. Plans and the structure of behavior , 1960 .
[9] B. Milner. Effects of Different Brain Lesions on Card Sorting: The Role of the Frontal Lobes , 1963 .
[10] P. Rabbitt. Errors and error correction in choice-response tasks. , 1966, Journal of experimental psychology.
[11] Richard C. Atkinson,et al. Human Memory: A Proposed System and its Control Processes , 1968, Psychology of Learning and Motivation.
[12] A. Battersby. Plans and the Structure of Behavior , 1968 .
[13] G. E. Alexander,et al. Neuron Activity Related to Short-Term Memory , 1971, Science.
[14] C. Blakemore. The Working Brain , 1972, Nature.
[15] M. Posner,et al. Attention and cognitive control. , 1975 .
[16] Alan S. Brown,et al. Information Processing and Cognition: The Loyola Symposium , 1976 .
[17] G. Schwartz,et al. Consciousness and Self-Regulation , 1976 .
[18] Daniel Gopher,et al. On the Economy of the Human Processing System: A Model of Multiple Capacity. , 1977 .
[19] Walter Schneider,et al. Controlled and automatic human information processing: II. Perceptual learning, automatic attending and a general theory. , 1977 .
[20] Roger Ratcliff,et al. A Theory of Memory Retrieval. , 1978 .
[21] D. Laming. Choice reaction performance following an error , 1979 .
[22] D. Norman,et al. Attention to action: Willed and automatic control , 1980 .
[23] G. Miller,et al. Cognitive science. , 1981, Science.
[24] T. Shallice. Specific impairments of planning. , 1982, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.
[25] B. Milner,et al. Deficits on subject-ordered tasks after frontal- and temporal-lobe lesions in man , 1982, Neuropsychologia.
[26] F. Lhermitte. 'Utilization behaviour' and its relation to lesions of the frontal lobes. , 1983, Brain : a journal of neurology.
[27] G. Logan,et al. Costs and benefits of strategy construction in a speeded discrimination task , 1983, Memory & cognition.
[28] H Pashler,et al. Processing stages in overlapping tasks: evidence for a central bottleneck. , 1984, Journal of experimental psychology. Human perception and performance.
[29] G. Logan. Skill and automaticity: Relations, implications, and future directions. , 1985 .
[30] J. Fuster. The prefrontal cortex, mediator of cross-temporal contingencies. , 1985, Human neurobiology.
[31] J. Duncan. Disorganisation of behaviour after frontal lobe damage , 1986 .
[32] Donald A. Norman,et al. Attention to Action , 1986 .
[33] Allen Newell,et al. SOAR: An Architecture for General Intelligence , 1987, Artif. Intell..
[34] O. G. Selfridge,et al. Pandemonium: a paradigm for learning , 1988 .
[35] Colin M. Macleod,et al. Training and Stroop-like interference: evidence for a continuum of automaticity. , 1988, Journal of experimental psychology. Learning, memory, and cognition.
[36] G. F. Tremblay,et al. The Prefrontal Cortex , 1989, Neurology.
[37] J. Changeux,et al. A Simple Model of Prefrontal Cortex Function in Delayed-Response Tasks , 1989, Journal of Cognitive Neuroscience.
[38] John R. Anderson. The Adaptive Character of Thought , 1990 .
[39] J D Cohen,et al. A network model of catecholamine effects: gain, signal-to-noise ratio, and behavior. , 1990, Science.
[40] James L. McClelland,et al. On the control of automatic processes: a parallel distributed processing account of the Stroop effect. , 1990, Psychological review.
[41] T. Robbins,et al. Extra-dimensional versus intra-dimensional set shifting performance following frontal lobe excisions, temporal lobe excisions or amygdalo-hippocampectomy in man , 1991, Neuropsychologia.
[42] Colin M. Macleod. Half a century of research on the Stroop effect: an integrative review. , 1991, Psychological bulletin.
[43] J. Changeux,et al. The Wisconsin Card Sorting Test: theoretical analysis and modeling in a neuronal network. , 1991, Cerebral cortex.
[44] A. Benton,et al. Frontal Lobe Function and Dysfunction , 1991 .
[45] J. Cohen,et al. Context, cortex, and dopamine: a connectionist approach to behavior and biology in schizophrenia. , 1992, Psychological review.
[46] E. Donchin,et al. Optimizing the use of information: strategic control of activation of responses. , 1992, Journal of experimental psychology. General.
[47] A. Henik,et al. Controlling Stroop effects by manipulating expectations for color words , 1992, Memory & cognition.
[48] John R. Anderson,et al. The Adaptive Character of Thought , 1990 .
[49] J. Fuster. Frontal lobes , 1993, Current Opinion in Neurobiology.
[50] R. Passingham. The frontal lobes and voluntary action , 1993 .
[51] D. Meyer,et al. A Neural System for Error Detection and Compensation , 1993 .
[52] D. Zipser,et al. A spiking network model of short-term active memory , 1993, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[53] P. Gollwitzer. Goal Achievement: The Role of Intentions , 1993 .
[54] Jonathan D. Cohen,et al. A Computational Model of Prefrontal Cortex Function , 1994, NIPS.
[55] James L. McClelland,et al. Why there are complementary learning systems in the hippocampus and neocortex: insights from the successes and failures of connectionist models of learning and memory. , 1995, Psychological review.
[56] J. Hohnsbein,et al. Event-related potential correlates of errors in reaction tasks. , 1995, Electroencephalography and clinical neurophysiology. Supplement.
[57] James L. McClelland,et al. Understanding normal and impaired word reading: computational principles in quasi-regular domains. , 1996, Psychological review.
[58] P. Dayan,et al. A framework for mesencephalic dopamine systems based on predictive Hebbian learning , 1996, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[59] John N. Tsitsiklis,et al. Neuro-Dynamic Programming , 1996, Encyclopedia of Machine Learning.
[60] Jonathan D. Cohen,et al. A preliminary theory of the interactions between prefrontal cortex and hippocampus that contribute to planning and prospective memory. , 1996 .
[61] R. O’Reilly,et al. A computational approach to prefrontal cortex, cognitive control and schizophrenia: recent developments and current challenges. , 1996, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.
[62] Peter Dayan,et al. A Neural Substrate of Prediction and Reward , 1997, Science.
[63] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[64] S Dehaene,et al. A hierarchical neuronal network for planning behavior. , 1997, Proceedings of the National Academy of Sciences of the United States of America.
[65] D E Kieras,et al. A computational theory of executive cognitive processes and multiple-task performance: Part 1. Basic mechanisms. , 1997, Psychological review.
[66] Edward E. Smith,et al. Temporal dynamics of brain activation during a working memory task , 1997, Nature.
[67] Terrence J. Sejnowski,et al. The “independent components” of natural scenes are edge filters , 1997, Vision Research.
[68] David E. Kieras,et al. A computational theory of executive cognitive processes and multiple-task performance: Part 2. Accounts of psychological refractory-period phenomena. , 1997 .
[69] T. Sejnowski,et al. Spatial Transformations in the Parietal Cortex Using Basis Functions , 1997, Journal of Cognitive Neuroscience.
[70] R. Knight. Distributed Cortical Network for Visual Attention , 1997, Journal of Cognitive Neuroscience.
[71] M. Botvinick,et al. Anterior cingulate cortex, error detection, and the online monitoring of performance. , 1998, Science.
[72] T. Paus,et al. Regional differences in the effects of task difficulty and motor output on blood flow response in the human anterior cingulate cortex: a review of 107 PET activation studies , 1998, Neuroreport.
[73] Leslie Pack Kaelbling,et al. Learning Policies with External Memory , 1999, ICML.
[74] Jonathan D. Cohen,et al. Conflict monitoring versus selection-for-action in anterior cingulate cortex , 1999, Nature.
[75] Jonathan D. Cohen,et al. Cognition and control in schizophrenia: a computational model of dopamine and prefrontal function , 1999, Biological Psychiatry.
[76] M. Botvinick,et al. Parsing executive processes: strategic vs. evaluative functions of the anterior cingulate cortex. , 2000, Proceedings of the National Academy of Sciences of the United States of America.
[77] N. Cohen,et al. Prefrontal regions play a predominant role in imposing an attentional 'set': evidence from fMRI. , 2000, Brain research. Cognitive brain research.
[78] T. Shallice,et al. CONTENTION SCHEDULING AND THE CONTROL OF ROUTINE ACTIVITIES , 2000, Cognitive neuropsychology.
[79] J. Duncan,et al. Common regions of the human frontal lobe recruited by diverse cognitive demands , 2000, Trends in Neurosciences.
[80] J. Cohen,et al. Dissociating the role of the dorsolateral prefrontal and anterior cingulate cortex in cognitive control. , 2000, Science.
[81] James L. McClelland,et al. Stipulating versus discovering representations , 2000, Behavioral and Brain Sciences.
[82] M. Botvinick,et al. Conflict monitoring and cognitive control. , 2001, Psychological review.
[83] Michael J. Frank,et al. Interactions between frontal cortex and basal ganglia in working memory: A computational model , 2001, Cognitive, affective & behavioral neuroscience.
[84] E. Miller,et al. An integrative theory of prefrontal cortex function. , 2001, Annual review of neuroscience.
[85] J. C. Johnston,et al. Attention and performance. , 2001, Annual review of psychology.
[86] J. Ridley. Studies of Interference in Serial Verbal Reactions , 2001 .
[87] Jonathan D. Cohen,et al. Computational perspectives on dopamine function in prefrontal cortex , 2002, Current Opinion in Neurobiology.
[88] Clay B. Holroyd,et al. The neural basis of human error processing: reinforcement learning, dopamine, and the error-related negativity. , 2002, Psychological review.
[89] Jonathan D. Cohen,et al. Prefrontal cortex and dynamic categorization tasks: representational organization and neuromodulatory control. , 2002, Cerebral cortex.
[90] Marc W. Howard,et al. A distributed representation of temporal context , 2002 .
[91] D. Plaut,et al. Representing task context: proposals based on a connectionist model of action , 2002, Psychological research.
[92] N. Yeung,et al. Switching between tasks of unequal familiarity: the role of stimulus-attribute and response-set selection. , 2003, Journal of experimental psychology. Human perception and performance.
[93] J. Seamans,et al. The principal features and mechanisms of dopamine modulation in the prefrontal cortex , 2004, Progress in Neurobiology.
[94] Jonathan D. Cohen,et al. Conflict monitoring and anterior cingulate cortex: an update , 2004, Trends in Cognitive Sciences.
[95] Michael J. Frank,et al. By Carrot or by Stick: Cognitive Reinforcement Learning in Parkinsonism , 2004, Science.
[96] Mark S. Gilzenrat,et al. A Systems-Level Perspective on Attention and Cognitive Control: Guided Activation, Adaptive Gating, Conflict Monitoring, and Exploitation versus Exploration. , 2004 .
[97] Emilio Salinas,et al. Fast Remapping of Sensory Stimuli onto Motor Actions on the Basis of Contextual Modulation , 2004, The Journal of Neuroscience.
[98] James L. McClelland,et al. Semantic Cognition: A Parallel Distributed Processing Approach , 2004 .
[99] Jonathan D. Cohen,et al. The neural basis of error detection: conflict monitoring and the error-related negativity. , 2004, Psychological review.
[100] D. Plaut,et al. Doing without schema hierarchies: a recurrent connectionist approach to normal and impaired routine sequential action. , 2004, Psychological review.
[101] Jonathan D. Cohen,et al. Prefrontal cortex and flexible cognitive control: rules without symbols. , 2005, Proceedings of the National Academy of Sciences of the United States of America.
[102] Clay B. Holroyd,et al. A mechanism for error detection in speeded response time tasks. , 2005, Journal of experimental psychology. General.
[103] Alicia P. Wolfe,et al. Identifying useful subgoals in reinforcement learning by local graph partitioning , 2005, ICML.
[104] Jonathan D. Cohen,et al. An integrative theory of locus coeruleus-norepinephrine function: adaptive gain and optimal performance. , 2005, Annual review of neuroscience.
[105] Lauren M. Bylsma,et al. The conflict adaptation effect: It’s not just priming , 2005, Cognitive, affective & behavioral neuroscience.
[106] Richard S. Sutton,et al. Reinforcement Learning: An Introduction , 1998, IEEE Trans. Neural Networks.
[107] Jun Tani,et al. How Hierarchical Control Self-organizes in Artificial Adaptive Systems , 2005, Adapt. Behav..
[108] J. Tenenbaum,et al. Opinion TRENDS in Cognitive Sciences Vol.10 No.7 July 2006 Special Issue: Probabilistic models of cognition Theory-based Bayesian models of inductive learning and reasoning , 2022 .
[109] Philip Holmes,et al. Rapid decision threshold modulation by reward rate in a neural network , 2006, Neural Networks.
[110] Michael J. Frank,et al. Making Working Memory Work: A Computational Model of Learning in the Prefrontal Cortex and Basal Ganglia , 2006, Neural Computation.
[111] Jonathan D. Cohen,et al. The physics of optimal decision making: a formal analysis of models of performance in two-alternative forced-choice tasks. , 2006, Psychological review.
[112] M. Botvinick. Conflict monitoring and decision making: Reconciling two perspectives on anterior cingulate function , 2007, Cognitive, affective & behavioral neuroscience.
[113] M. Roesch,et al. Dopamine neurons encode the better option in rats deciding between differently delayed or sized rewards , 2007, Nature Neuroscience.
[114] T. Braver,et al. Explaining the many varieties of working memory variation: Dual mechanisms of cognitive control. , 2007 .
[115] T. Aflalo,et al. Mapping Behavioral Repertoire onto the Cortex , 2007, Neuron.
[116] Matthew M Botvinick,et al. Multilevel structure in behaviour and in the brain: a model of Fuster's hierarchy , 2007, Philosophical Transactions of the Royal Society B: Biological Sciences.
[117] Jonathan D. Cohen,et al. On the Control of Control: The Role of Dopamine in Regulating Prefrontal Function and Working Memory , 2007 .
[118] Peter Dayan,et al. Bilinearity, Rules, and Prefrontal Cortex , 2007, Frontiers Comput. Neurosci..
[119] John R. Anderson,et al. Using fMRI to Test Models of Complex Cognition , 2008, Cogn. Sci..
[120] Andrew G. Barto,et al. Behavioral building blocks for autonomous agents: description, identification, and learning , 2008 .
[121] Jonathan D. Cohen,et al. Learning to Use Working Memory in Partially Observable Environments through Dopaminergic Reinforcement , 2008, NIPS.
[122] M. Botvinick. Hierarchical models of behavior and prefrontal function , 2008, Trends in Cognitive Sciences.
[123] Sean M. Polyn,et al. Memory search and the neural representation of context , 2008, Trends in Cognitive Sciences.
[124] Timothy E. J. Behrens,et al. Choice, uncertainty and value in prefrontal and cingulate cortex , 2008, Nature Neuroscience.
[125] M. D’Esposito. Working memory. , 2008, Handbook of clinical neurology.
[126] Jeremy R. Reynolds,et al. Developing PFC representations using reinforcement learning , 2009, Cognition.
[127] M. Botvinick,et al. Hierarchically organized behavior and its neural foundations: A reinforcement learning perspective , 2009, Cognition.
[128] James L. McClelland. Running Head : Letting Structure Emerge Letting Structure Emerge : Connectionist and Dynamical Systems Approaches to Understanding Cognition , 2009 .
[129] Peter Stone,et al. Transfer Learning for Reinforcement Learning Domains: A Survey , 2009, J. Mach. Learn. Res..
[130] G. Pezzulo,et al. Thinking as the control of imagination: a conceptual framework for goal-directed systems , 2009, Psychological research.
[131] Jonathan D. Cohen,et al. Reward rate optimization in two-alternative decision making: empirical tests of theoretical predictions. , 2009, Journal of experimental psychology. Human perception and performance.
[132] Matthew M Botvinick,et al. Empirical and computational support for context-dependent representations of serial order: reply to Bowers, Damian, and Davis (2009). , 2009, Psychological review.
[133] Lauren M. Bylsma,et al. Toward an integrated account of object and action selection: A computational analysis and empirical findings from reaching-to-grasp and tool-use , 2009, Neuropsychologia.
[134] Sean M. Polyn,et al. A context maintenance and retrieval model of organizational processes in free recall. , 2009, Psychological review.
[135] Wolfgang M. Pauli,et al. Computational models of cognitive control , 2010, Current Opinion in Neurobiology.
[136] J. Duncan. The multiple-demand (MD) system of the primate brain: mental programs for intelligent behaviour , 2010, Trends in Cognitive Sciences.
[137] Jonathan D. Cohen,et al. Do humans produce the speed–accuracy trade-off that maximizes reward rate? , 2010, Quarterly journal of experimental psychology.
[138] P. Berkes,et al. Statistically Optimal Perception and Learning: from Behavior to Neural Representations , 2022 .
[139] Hannah S. Locke,et al. Prefrontal cortex mediation of cognitive enhancement in rewarding motivational contexts , 2010, Proceedings of the National Academy of Sciences.
[140] C. Ranganath,et al. Prefrontal and Medial Temporal Lobe Activity at Encoding Predicts Temporal Context Memory , 2010, The Journal of Neuroscience.
[141] Joseph T. McGuire,et al. Prefrontal cortex, cognitive control, and the registration of decision costs , 2010, Proceedings of the National Academy of Sciences.
[142] Michael W. Cole,et al. Conflict over Cingulate Cortex: Between-Species Differences in Cingulate May Support Enhanced Cognitive Flexibility in Humans , 2010, Brain, Behavior and Evolution.
[143] Joseph T. McGuire,et al. Decision making and the avoidance of cognitive demand. , 2010, Journal of experimental psychology. General.
[144] James L. McClelland,et al. Letting structure emerge: connectionist and dynamical systems approaches to cognition , 2010, Trends in Cognitive Sciences.
[145] Richard P. Cooper,et al. Cognitive Control: Componential or Emergent? , 2010, Top. Cogn. Sci..
[146] Daniel A. Braun,et al. Structure learning in action , 2010, Behavioural Brain Research.
[147] Joshua W. Brown,et al. Medial prefrontal cortex as an action-outcome predictor , 2011, Nature Neuroscience.
[148] P. Goldman-Rakic. Circuitry of Primate Prefrontal Cortex and Regulation of Behavior by Representational Memory , 2011 .
[149] Andrew M. Saxe,et al. Acquisition of decision making criteria: reward rate ultimately beats accuracy , 2011, Attention, perception & psychophysics.
[150] Michael W. Cole,et al. Rapid Transfer of Abstract Rules to Novel Contexts in Human Lateral Prefrontal Cortex , 2011, Front. Hum. Neurosci..
[151] M. Botvinick. Hierarchical reinforcement learning and decision making , 2012, Current Opinion in Neurobiology.
[152] M. Botvinick,et al. Neural representations of events arise from temporal community structure , 2013, Nature Neuroscience.
[153] Jonathan D. Cohen,et al. The Expected Value of Control: An Integrative Theory of Anterior Cingulate Cortex Function , 2013, Neuron.
[154] Joseph T. McGuire,et al. Neural and Behavioral Evidence for an Intrinsic Cost of Self-Control , 2013, PloS one.
[155] Jonathan D. Cohen,et al. Indirection and symbol-like processing in the prefrontal cortex and basal ganglia , 2013, Proceedings of the National Academy of Sciences.
[156] Angela J. Yu,et al. Bayesian Prediction and Evaluation in the Anterior Cingulate Cortex , 2013, The Journal of Neuroscience.
[157] Anne G E Collins,et al. Cognitive control over learning: creating, clustering, and generalizing task-set structure. , 2013, Psychological review.
[158] Alec Solway,et al. Optimal Behavioral Hierarchy , 2014, PLoS Comput. Biol..
[159] M. Botvinick,et al. A labor/leisure tradeoff in cognitive control. , 2014, Journal of experimental psychology. General.
[160] J D Cohen,et al. Multitasking versus multiplexing: Toward a normative account of limitations in the simultaneous execution of control-demanding behaviors , 2014, Cognitive, affective & behavioral neuroscience.
[161] D. Harrison. Frontal Lobe Syndromes , 2015 .
[162] Benjamin Naumann. The Architecture Of Cognition , 2016 .
[163] Yvonne Koch. The Psychology Of Learning And Motivation , 2016 .
[164] Jonathan D. Cohen,et al. Prefrontal Cortex and the Flexibility of Cognitive Control : Rules Without Symbols , 2022 .