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  1. (1 other version)The magical number seven, plus or minus two: Some limits on our capacity for processing information.George A. Miller - 1956 - Psychological Review 63 (2):81-97.
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  • An Integrative Theory of Prefrontal Cortex Function.Earl K. Miller & Jonathan D. Cohen - 2001 - Annual Review of Neuroscience 24 (1):167-202.
    The prefrontal cortex has long been suspected to play an important role in cognitive control, in the ability to orchestrate thought and action in accordance with internal goals. Its neural basis, however, has remained a mystery. Here, we propose that cognitive control stems from the active maintenance of patterns of activity in the prefrontal cortex that represent goals and the means to achieve them. They provide bias signals to other brain structures whose net effect is to guide the flow of (...)
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  • A computational theory of executive cognitive processes and multiple-task performance: Part I. Basic mechanisms.David E. Meyer & David E. Kieras - 1997 - Psychological Review 104 (1):3-65.
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  • A computational theory of executive cognitive processes and multiple-task performance: Part 2. Accounts of psychological refractory-period phenomena.David E. Meyer & David E. Kieras - 1997 - Psychological Review 104 (4):749-791.
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  • Why there are complementary learning systems in the hippocampus and neocortex: Insights from the successes and failures of connectionist models of learning and memory.James L. McClelland, Bruce L. McNaughton & Randall C. O'Reilly - 1995 - Psychological Review 102 (3):419-457.
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  • (1 other version)Letting structure emerge: connectionist and dynamical systems approaches to cognition.James L. McClelland, Matthew M. Botvinick, David C. Noelle, David C. Plaut, Timothy T. Rogers, Mark S. Seidenberg & Linda B. Smith - 2010 - Trends in Cognitive Sciences 14 (8):348-356.
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  • Hierarchically organized behavior and its neural foundations: A reinforcement-learning perspective.Andrew C. Barto Matthew M. Botvinick, Yael Niv - 2009 - Cognition 113 (3):262.
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  • Cognitive control over learning: Creating, clustering, and generalizing task-set structure.Anne G. E. Collins & Michael J. Frank - 2013 - Psychological Review 120 (1):190-229.
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  • On the economy of the human-processing system.David Navon & Daniel Gopher - 1979 - Psychological Review 86 (3):214-255.
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  • A theory of memory retrieval.Roger Ratcliff - 1978 - Psychological Review 85 (2):59-108.
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  • The perceptron: A probabilistic model for information storage and organization in the brain.F. Rosenblatt - 1958 - Psychological Review 65 (6):386-408.
    If we are eventually to understand the capability of higher organisms for perceptual recognition, generalization, recall, and thinking, we must first have answers to three fundamental questions: 1. How is information about the physical world sensed, or detected, by the biological system? 2. In what form is information stored, or remembered? 3. How does information contained in storage, or in memory, influence recognition and behavior? The first of these questions is in the.
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  • Context, cortex, and dopamine: A connectionist approach to behavior and biology in schizophrenia.Jonathan D. Cohen & David Servan-Schreiber - 1992 - Psychological Review 99 (1):45-77.
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  • SOAR: An architecture for general intelligence.John E. Laird, Allen Newell & Paul S. Rosenbloom - 1987 - Artificial Intelligence 33 (1):1-64.
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  • Using fMRI to Test Models of Complex Cognition.John R. Anderson, Cameron S. Carter, Jon M. Fincham, Yulin Qin, Susan M. Ravizza & Miriam Rosenberg-Lee - 2008 - Cognitive Science 32 (8):1323-1348.
    This article investigates the potential of fMRI to test assumptions about different components in models of complex cognitive tasks. If the components of a model can be associated with specific brain regions, one can make predictions for the temporal course of the BOLD response in these regions. An event‐locked procedure is described for dealing with temporal variability and bringing model runs and individual data trials into alignment. Statistical methods for testing the model are described that deal with the scan‐to‐scan correlations (...)
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  • (1 other version)Letting Structure Emerge: Connectionist and Dynamical Systems Approaches to Cognition.Linda B. Smith James L. McClelland, Matthew M. Botvinick, David C. Noelle, David C. Plaut, Timothy T. Rogers, Mark S. Seidenberg - 2010 - Trends in Cognitive Sciences 14 (8):348.
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  • The neural basis of human error processing: Reinforcement learning, dopamine, and the error-related negativity.Clay B. Holroyd & Michael G. H. Coles - 2002 - Psychological Review 109 (4):679-709.
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  • Studies of interference in serial verbal reactions.J. R. Stroop - 1935 - Journal of Experimental Psychology 18 (6):643.
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  • Thinking as the Control of Imagination: a Conceptual Framework for Goal-Directed Systems.Giovanni Pezzulo & Cristiano Castelfranchi - 2009 - Psychological Research 73 (4):559-577.
    This paper offers a conceptual framework which (re)integrates goal-directed control, motivational processes, and executive functions, and suggests a developmentalpathway from situated action to higher level cognition. We first illustrate a basic computational (control-theoretic) model of goal-directed action that makes use of internalmodeling. We then show that by adding the problem of selection among multiple actionalternatives motivation enters the scene, and that the basic mechanisms of executivefunctions such as inhibition, the monitoring of progresses, and working memory, arerequired for this system to (...)
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  • Vision.David Marr - 1982 - W. H. Freeman.
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  • Cognitive Control: Componential or Emergent?Richard P. Cooper - 2010 - Topics in Cognitive Science 2 (4):598-613.
    The past 25 years have witnessed an increasing awareness of the importance of cognitive control in the regulation of complex behavior. It now sits alongside attention, memory, language, and thinking as a distinct domain within cognitive psychology. At the same time it permeates each of these sibling domains. This introduction reviews recent work on cognitive control in an attempt to provide a context for the fundamental question addressed within this topic: Is cognitive control to be understood as resulting from the (...)
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  • On the control of automatic processes: A parallel distributed processing account of the Stroop effect.Jonathan D. Cohen, Kevin Dunbar & James L. McClelland - 1990 - Psychological Review 97 (3):332-361.
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  • (2 other versions)Controlled and automatic human information processing: Perceptual learning, automatic attending, and a general theory.Richard M. Shiffrin & Walter Schneider - 1977 - Psychological Review 84 (2):128-90.
    Tested the 2-process theory of detection, search, and attention presented by the current authors in a series of experiments. The studies demonstrate the qualitative difference between 2 modes of information processing: automatic detection and controlled search; trace the course of the learning of automatic detection, of categories, and of automatic-attention responses; and show the dependence of automatic detection on attending responses and demonstrate how such responses interrupt controlled processing and interfere with the focusing of attention. The learning of categories is (...)
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  • (1 other version)Attention and cognitive control.Michael I. Posner & C. R. R. Snyder - 1975 - In Robert L. Solso (ed.), Information Processing and Cognition: The Loyola Symposium. Lawrence Erlbaum.
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  • Hierarchical models of behavior and prefrontal function.Matthew M. Botvinick - 2008 - Trends in Cognitive Sciences 12 (5):201.
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  • Hierarchically organized behavior and its neural foundations: A reinforcement learning perspective.Matthew M. Botvinick, Yael Niv & Andrew C. Barto - 2009 - Cognition 113 (3):262-280.
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  • Hierarchically organized behavior and its neural foundations: A reinforcement learning perspective.Matthew M. Botvinick, Yael Niv & Andew G. Barto - 2009 - Cognition 113 (3):262-280.
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  • Empirical and computational support for context-dependent representations of serial order: Reply to Bowers, Damian, and Davis (2009).Matthew M. Botvinick & David C. Plaut - 2009 - Psychological Review 116 (4):998-1001.
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  • Doing Without Schema Hierarchies: A Recurrent Connectionist Approach to Normal and Impaired Routine Sequential Action.Matthew Botvinick & David C. Plaut - 2004 - Psychological Review 111 (2):395-429.
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  • Conflict monitoring and cognitive control.Matthew M. Botvinick, Todd S. Braver, Deanna M. Barch, Cameron S. Carter & Jonathan D. Cohen - 2001 - Psychological Review 108 (3):624-652.
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  • Conflict monitoring and anterior cingulate cortex: an update.Matthew M. Botvinick, Jonathan D. Cohen & Cameron S. Carter - 2004 - Trends in Cognitive Sciences 8 (12):539-546.
    One hypothesis concerning the human dorsal anterior cingulate cortex (ACC) is that it functions, in part, to signal the occurrence of conflicts in information processing, thereby triggering compensatory adjustments in cognitive control. Since this idea was first proposed, a great deal of relevant empirical evidence has accrued. This evidence has largely corroborated the conflict-monitoring hypothesis, and some very recent work has provided striking new support for the theory. At the same time, other findings have posed specific challenges, especially concerning the (...)
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  • The physics of optimal decision making: A formal analysis of models of performance in two-alternative forced-choice tasks.Rafal Bogacz, Eric Brown, Jeff Moehlis, Philip Holmes & Jonathan D. Cohen - 2006 - Psychological Review 113 (4):700-765.
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  • Uncertainty and conflict: A point of contact between information-theory and behavior-theory concepts.D. E. Berlyne - 1957 - Psychological Review 64 (6, Pt.1):329-339.
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  • The Neural Basis of Error Detection: Conflict Monitoring and the Error-Related Negativity.Nick Yeung, Matthew M. Botvinick & Jonathan D. Cohen - 2004 - Psychological Review 111 (4):931-959.
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  • Understanding normal and impaired word reading: Computational principles in quasi-regular domains.David C. Plaut, James L. McClelland, Mark S. Seidenberg & Karalyn Patterson - 1996 - Psychological Review 103 (1):56-115.
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  • (1 other version)Theory-based Bayesian models of inductive learning and reasoning.Joshua B. Tenenbaum, Thomas L. Griffiths & Charles Kemp - 2006 - Trends in Cognitive Sciences 10 (7):309-318.
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  • Memory search and the neural representation of context.Sean M. Polyn & Michael J. Kahana - 2008 - Trends in Cognitive Sciences 12 (1):24-30.
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  • Developing PFC Representations Using Reinforcement Learning.Jeremy R. Reynolds & Randall C. O’Reilly - 2009 - Cognition 113 (3):281-292.
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  • Errors and error correction in choice-response tasks.P. M. Rabbitt - 1966 - Journal of Experimental Psychology 71 (2):264.
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  • A context maintenance and retrieval model of organizational processes in free recall.Sean M. Polyn, Kenneth A. Norman & Michael J. Kahana - 2009 - Psychological Review 116 (1):129-156.
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  • Stipulating versus discovering representations.David C. Plaut & James L. McClelland - 2000 - Behavioral and Brain Sciences 23 (4):489-491.
    Page's proposal to stipulate representations in which individual units correspond to meaningful entities is too unconstrained to support effective theorizing. An approach combining general computational principles with domain-specific assumptions, in which learning is used to discover representations that are effective in solving tasks, provides more insight into why cognitive and neural systems are organized the way they are.
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  • The frontal syndrome.Aleksandr Romanovich Luria - 1969 - In P. J. Vinken & G. W. Bruyn (eds.), Handbook of Clinical Neurology. North Holland.
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