29 found
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Jonathan D. Cohen [29]Jonathan David Cohen [1]
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Profile: Jonathan Cohen (University of California, San Diego)
  1.  35
    Joshua D. Greene, Fiery A. Cushman, Lisa E. Stewart, Kelly Lowenberg, Leigh E. Nystrom & Jonathan D. Cohen (2009). Pushing Moral Buttons: The Interaction Between Personal Force and Intention in Moral Judgment. Cognition 111 (3):364-371.
  2.  26
    Matthew M. Botvinick, Jonathan D. Cohen & Cameron S. Carter (2004). Conflict Monitoring and Anterior Cingulate Cortex: An Update. 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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  3.  14
    Joshua D. Greene, Sylvia A. Morelli, Kelly Lowenberg, Leigh E. Nystrom & Jonathan D. Cohen (2008). Cognitive Load Selectively Interferes with Utilitarian Moral Judgment. Cognition 107 (3):1144-1154.
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  4. Robert C. Wilson, Andra Geana, John M. White, Elliot A. Ludvig & Jonathan D. Cohen (2014). Humans Use Directed and Random Exploration to Solve the Explore–Exploit Dilemma. Journal of Experimental Psychology: General 143 (6):2074-2081.
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  5.  1
    Earl K. Miller & Jonathan D. Cohen (2001). An Integrative Theory of Prefrontal Cortex Function. 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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  6. Matthew M. Botvinick, Todd S. Braver, Deanna M. Barch, Cameron S. Carter & Jonathan D. Cohen (2001). Conflict Monitoring and Cognitive Control. Psychological Review 108 (3):624-652.
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  7.  29
    Alan G. Sanfey, George Loewenstein, Samuel M. McClure & Jonathan D. Cohen (2006). Neuroeconomics: Cross-Currents in Research on Decision-Making. Trends in Cognitive Sciences 10 (3):108-116.
  8. Jonathan D. Cohen, Samuel M. McClure & Yu & J. Angela (2008). Should I Stay or Should I Go? How the Human Brain Manages the Trade-Off Between Exploitation and Exploration. In Jon Driver, Patrick Haggard & Tim Shallice (eds.), Mental Processes in the Human Brain. OUP Oxford
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  9.  8
    Matthew M. Botvinick & Jonathan D. Cohen (2014). The Computational and Neural Basis of Cognitive Control: Charted Territory and New Frontiers. Cognitive Science 38 (6):1249-1285.
    Cognitive control has long been one of the most active areas of computational modeling work in cognitive science. The focus on computational models as a medium for specifying and developing theory predates the PDP books, and cognitive control was not one of the areas on which they focused. However, the framework they provided has injected work on cognitive control with new energy and new ideas. On the occasion of the books' anniversary, we review computational modeling in the study of cognitive (...)
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  10.  6
    Todd S. Braver, Deanna M. Barch, Beth A. Keys, Cameron S. Carter, Jonathan D. Cohen, Jeffrey A. Kaye, Jeri S. Janowsky, Stephan F. Taylor, Jerome A. Yesavage & Martin S. Mumenthaler (2001). Context Processing in Older Adults: Evidence for a Theory Relating Cognitive Control to Neurobiology in Healthy Aging. Journal of Experimental Psychology: General 130 (4):746.
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  11. Jonathan D. Cohen, Kevin Dunbar & James L. McClelland (1990). On the Control of Automatic Processes: A Parallel Distributed Processing Account of the Stroop Effect. Psychological Review 97 (3):332-361.
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  12. Jonathan D. Cohen & Mohan Matthen (eds.) (2010). Color Ontology and Color Science. MIT Press.
  13. Rafal Bogacz, Eric Brown, Jeff Moehlis, Philip Holmes & Jonathan D. Cohen (2006). The Physics of Optimal Decision Making: A Formal Analysis of Models of Performance in Two-Alternative Forced-Choice Tasks. Psychological Review 113 (4):700-765.
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  14. Brian P. McLaughlin & Jonathan D. Cohen (eds.) (2007). Contemporary Debates in Philosophy of Mind. Blackwell Pub..
  15. Nick Yeung, Matthew M. Botvinick & Jonathan D. Cohen (2004). The Neural Basis of Error Detection: Conflict Monitoring and the Error-Related Negativity. Psychological Review 111 (4):931-959.
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  16.  17
    Samuel M. McClure, Matthew M. Botvinick, Nick Yeung, Joshua D. Greene & Jonathan D. Cohen (2007). Conflict Monitoring in Cognition-Emotion Competition. In James J. Gross (ed.), Handbook of Emotion Regulation. Guilford Press
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  17. Jonathan D. Cohen & David Servan-Schreiber (1992). Context, Cortex, and Dopamine: A Connectionist Approach to Behavior and Biology in Schizophrenia. Psychological Review 99 (1):45-77.
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  18.  14
    Marius Usher, Jonathan D. Cohen, Henk Haarmann & David Horn (2001). Neural Mechanism for the Magical Number 4: Competitive Interactions and Nonlinear Oscillation. Behavioral and Brain Sciences 24 (1):151-152.
    The aim of our commentary is to strengthen Cowan's proposal for an inherent capacity limitation in STM by suggesting a neurobiological mechanism based on competitive networks and nonlinear oscillations that avoids some of the shortcomings of the scheme discussed in the target article (Lisman & Idiart 1995).
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  19.  10
    Philip Holmes & Jonathan D. Cohen (2014). Optimality and Some of Its Discontents: Successes and Shortcomings of Existing Models for Binary Decisions. Topics in Cognitive Science 6 (2):258-278.
    We review how leaky competing accumulators (LCAs) can be used to model decision making in two-alternative, forced-choice tasks, and we show how they reduce to drift diffusion (DD) processes in special cases. As continuum limits of the sequential probability ratio test, DD processes are optimal in producing decisions of specified accuracy in the shortest possible time. Furthermore, the DD model can be used to derive a speed–accuracy trade-off that optimizes reward rate for a restricted class of two alternative forced-choice decision (...)
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  20. Clay B. Holroyd, Nick Yeung, Michael G. H. Coles & Jonathan D. Cohen (2005). A Mechanism for Error Detection in Speeded Response Time Tasks. Journal of Experimental Psychology: General 134 (2):163-191.
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  21. Sander Nieuwenhuis, Mark S. Gilzenrat, Benjamin D. Holmes & Jonathan D. Cohen (2005). The Role of the Locus Coeruleus in Mediating the Attentional Blink: A Neurocomputational Theory. Journal of Experimental Psychology: General 134 (3):291-307.
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  22.  4
    Alan G. Sanfey, George Loewenstein, Samuel M. McClure & Jonathan D. Cohen (2006). Brain Systems and Economics. Trends in Cognitive Sciences 10 (3):108-116.
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  23. Jonathan D. Cohen, Marius Usher & James L. McClelland (1998). A PDP Approach to Set Size Effects Within the Stroop Task: Reply to Kanne, Balota, Spieler, and Faust. Psychological Review 105 (1):188-194.
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  24.  1
    Steven D. Forman, Jonathan D. Cohen & Mark H. Johnson (1993). Frontal Eye Fields: Inhibition Through Competition. Behavioral and Brain Sciences 16 (3):578.
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  25.  1
    Jonathan D. Cohen (1997). A Commentary on Kinsbourne and Hobson. In Jonathan D. Cohen & Jonathan W. Schooler (eds.), Scientific Approaches to Consciousness. Lawrence Erlbaum 25--397.
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  26. Jonathan D. Cohen, Kevin O. Dunbar, Deanna M. Barch & Todd S. Braver (1997). Issues Concerning Relative Speed of Processing Hypotheses, Schizophrenic Performance Deficits, and Prefrontal Function: Comment on Schooler Et Al. Journal of Experimental Psychology: General 126 (1):37-41.
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  27. Jonathan D. Cohen, Fergus Im Craik, Ieffrey L. Cummings & Lauren Dade (2002). Los Angeles, CA, USA. In Donald T. Stuss & Robert T. Knight (eds.), Principles of Frontal Lobe Function. Oxford University Press
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  28.  82
    Jonathan D. Cohen & Jonathan W. Schooler (eds.) (1997). Scientific Approaches to Consciousness. Lawrence Erlbaum.
  29. Patrick Simen, Philip Holmes & Jonathan D. Cohen (2009). On the Neural Implementation of Optimal Decisions. In Ezequiel Morsella, John A. Bargh & Peter M. Gollwitzer (eds.), Oxford Handbook of Human Action. Oxford University Press
     
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