Learning representations in a gated prefrontal cortex model of dynamic task switching
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[1] Jonathan D. Cohen,et al. Prefrontal cortex and dynamic categorization tasks: representational organization and neuromodulatory control. , 2002, Cerebral cortex.
[2] Y. Munakata,et al. All Together Now: When Dissociations Between Knowledge and Action Disappear , 2001, Psychological science.
[3] Michael J. Frank,et al. Interactions between frontal cortex and basal ganglia in working memory: A computational model , 2001, Cognitive, affective & behavioral neuroscience.
[4] E. Miller,et al. An integrative theory of prefrontal cortex function. , 2001, Annual review of neuroscience.
[5] J. Driver,et al. Control of Cognitive Processes: Attention and Performance XVIII , 2000 .
[6] R. O’Reilly,et al. Computational Explorations in Cognitive Neuroscience: Understanding the Mind by Simulating the Brain , 2000 .
[7] T. Shallice,et al. The cognitive and neuroanatomical correlates of multitasking , 2000, Neuropsychologia.
[8] D. Stuss,et al. Wisconsin Card Sorting Test performance in patients with focal frontal and posterior brain damage: effects of lesion location and test structure on separable cognitive processes , 2000, Neuropsychologia.
[9] A. Miyake,et al. Models of Working Memory: Mechanisms of Active Maintenance and Executive Control , 1999 .
[10] Jonathan D. Cohen,et al. A Biologically Based Computational Model of Working Memory , 1999 .
[11] R. O’Reilly. Six principles for biologically based computational models of cortical cognition , 1998, Trends in Cognitive Sciences.
[12] T. Robbins,et al. Dissociable Forms of Inhibitory Control within Prefrontal Cortex with an Analog of the Wisconsin Card Sort Test: Restriction to Novel Situations and Independence from “On-Line” Processing , 1997, The Journal of Neuroscience.
[13] Randall C. O'Reilly,et al. Biologically Plausible Error-Driven Learning Using Local Activation Differences: The Generalized Recirculation Algorithm , 1996, Neural Computation.
[14] 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.
[15] Jonathan D. Cohen,et al. A preliminary theory of the interactions between prefrontal cortex and hippocampus that contribute to planning and prospective memory. , 1996 .
[16] P. Zelazo,et al. An age-related dissociation between knowing rules and using them ☆ , 1996 .
[17] T. Robbins,et al. Contrasting mechanisms of impaired attentional set-shifting in patients with frontal lobe damage or Parkinson's disease. , 1993, Brain : a journal of neurology.
[18] Javier R. Movellan,et al. Learning Continuous Probability Distributions with Symmetric Diffusion Networks , 1993, Cogn. Sci..
[19] W. Schultz,et al. Responses of monkey dopamine neurons to reward and conditioned stimuli during successive steps of learning a delayed response task , 1993, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[20] M. Mountain,et al. Wisconsin card sorting test as a measure of frontal pathology: A review , 1993 .
[21] Robert K. Heaton,et al. Wisconsin Card Sorting Test Manual – Revised and Expanded , 1993 .
[22] J. Changeux,et al. The Wisconsin Card Sorting Test: theoretical analysis and modeling in a neuronal network. , 1991, Cerebral cortex.
[23] James L. McClelland,et al. On the control of automatic processes: a parallel distributed processing account of the Stroop effect. , 1990, Psychological review.
[24] Jeffrey L. Elman,et al. Finding Structure in Time , 1990, Cogn. Sci..
[25] T. Robbins,et al. The effects of intradimensional and extradimensional shifts on visual discrimination learning in humans and non-human primates , 1988, The Quarterly journal of experimental psychology. B, Comparative and physiological psychology.
[26] G. Miller,et al. Cognitive science. , 1981, Science.
[27] B. Milner. Effects of Different Brain Lesions on Card Sorting: The Role of the Frontal Lobes , 1963 .
[28] D. A. Grant,et al. A behavioral analysis of degree of reinforcement and ease of shifting to new responses in a Weigl-type card-sorting problem. , 1948, Journal of experimental psychology.