Learning and transfer of working memory gating policies
暂无分享,去创建一个
[1] Charles Kemp,et al. How to Grow a Mind: Statistics, Structure, and Abstraction , 2011, Science.
[2] Thomas E. Hazy,et al. Towards an executive without a homunculus: computational models of the prefrontal cortex/basal ganglia system , 2007, Philosophical Transactions of the Royal Society B: Biological Sciences.
[3] D. Blei,et al. Context, learning, and extinction. , 2010, Psychological review.
[4] T. Braver. The variable nature of cognitive control: a dual mechanisms framework , 2012, Trends in Cognitive Sciences.
[5] K. Oberauer,et al. Attention to Information in Working Memory , 2012 .
[6] Robert A. Jacobs,et al. The Adaptive Nature of Visual Working Memory , 2014 .
[7] Peter Dayan,et al. Interplay of approximate planning strategies , 2015, Proceedings of the National Academy of Sciences.
[8] N. Taatgen. The nature and transfer of cognitive skills. , 2013, Psychological review.
[9] G. A. Miller. THE PSYCHOLOGICAL REVIEW THE MAGICAL NUMBER SEVEN, PLUS OR MINUS TWO: SOME LIMITS ON OUR CAPACITY FOR PROCESSING INFORMATION 1 , 1956 .
[10] Michael J. Frank,et al. Making Working Memory Work: A Computational Model of Learning in the Prefrontal Cortex and Basal Ganglia , 2006, Neural Computation.
[11] Jonathan D. Cohen,et al. Learning to Use Working Memory in Partially Observable Environments through Dopaminergic Reinforcement , 2008, NIPS.
[12] 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.
[13] Anne G E Collins,et al. Cognitive control over learning: creating, clustering, and generalizing task-set structure. , 2013, Psychological review.
[14] Roger C. Schank,et al. Scripts, plans, goals and understanding: an inquiry into human knowledge structures , 1978 .
[15] Y. Niv,et al. Learning latent structure: carving nature at its joints , 2010, Current Opinion in Neurobiology.
[16] Christopher H Chatham,et al. Multiple gates on working memory , 2015, Current Opinion in Behavioral Sciences.
[17] Michael W. Cole,et al. The power of instructions: Proactive configuration of stimulus-response translation. , 2015, Journal of experimental psychology. Learning, memory, and cognition.
[18] Hannes Ruge,et al. Rapid formation of pragmatic rule representations in the human brain during instruction-based learning. , 2010, Cerebral cortex.
[19] F. Mathy,et al. What’s magic about magic numbers? Chunking and data compression in short-term memory , 2012, Cognition.
[20] Herbert A. Simon,et al. The Structure of Ill Structured Problems , 1973, Artif. Intell..
[21] Michael W. Cole,et al. Prefrontal Dynamics Underlying Rapid Instructed Task Learning Reverse with Practice , 2010, The Journal of Neuroscience.
[22] John Duncan,et al. Goal neglect and knowledge chunking in the construction of novel behaviour☆ , 2014, Cognition.
[23] M. Frank,et al. Mechanisms of hierarchical reinforcement learning in corticostriatal circuits 1: computational analysis. , 2012, Cerebral cortex.
[24] Hannes Ruge,et al. On the timescale of stimulus-based action–effect learning , 2011, Quarterly journal of experimental psychology.
[25] Daniel A. Braun,et al. Structure learning in action , 2010, Behavioural Brain Research.
[26] James L. McClelland. Is a Machine Realization of Truly Human-Like Intelligence Achievable? , 2009, Cognitive Computation.
[27] Timothy F. Brady,et al. Compression in visual working memory: using statistical regularities to form more efficient memory representations. , 2009, Journal of experimental psychology. General.
[28] Alec Solway,et al. Reinforcement learning, efficient coding, and the statistics of natural tasks , 2015, Current Opinion in Behavioral Sciences.
[29] Daniel A. Braun,et al. Motor Task Variation Induces Structural Learning , 2009, Current Biology.
[30] E. Koechlin,et al. Reasoning, Learning, and Creativity: Frontal Lobe Function and Human Decision-Making , 2012, PLoS biology.
[31] D. Shanks,et al. FEATURE- AND RULE-BASED GENERALIZATION IN HUMAN ASSOCIATIVE LEARNING , 1998 .
[32] Christopher H. Chatham,et al. Corticostriatal Output Gating during Selection from Working Memory , 2014, Neuron.
[33] Nachshon Meiran,et al. The representation of instructions in working memory leads to autonomous response activation: Evidence from the first trials in the flanker paradigm , 2006, Quarterly journal of experimental psychology.
[34] P. Ackerman. Determinants of individual differences during skill acquisition: Cognitive abilities and information processing. , 1988 .
[35] Michael W. Cole,et al. Rapid Transfer of Abstract Rules to Novel Contexts in Human Lateral Prefrontal Cortex , 2011, Front. Hum. Neurosci..
[36] Tobias Egner,et al. The Wiley Handbook of Cognitive Control , 2017 .
[37] Nachshon Meiran,et al. The representation of instructions operates like a prepared reflex: flanker compatibility effects found in first trial following S-R instructions. , 2009, Experimental psychology.
[38] John Duncan,et al. Goal neglect and Spearman's g: competing parts of a complex task. , 2008, Journal of experimental psychology. General.
[39] M. Botvinick,et al. Hierarchically organized behavior and its neural foundations: A reinforcement learning perspective , 2009, Cognition.
[40] 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.
[41] M. D’Esposito,et al. Frontal Cortex and the Discovery of Abstract Action Rules , 2010, Neuron.
[42] Harold Bekkering,et al. Dissociating restart cost and mixing cost in task switching , 2009, Psychological research.