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James L. McClelland

Stanford University, Palo Alto, CA 
Cognitive Science and Cognitive Neuroscience
"James McClelland"
Mean distance: 12.49 (cluster 23)
Cross-listing: LinguisTree


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Paul Rozin grad student 1975 Penn


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Sharon Y. Chen research assistant 2017- Stanford
Eric S. De Vos research assistant 1976-1976 UCSD
Devika Narain research assistant 2007-2007 Stanford
Ritwik K. Niyogi research assistant 2007-2007 Stanford
Anna C. Schapiro research assistant 2006-2009 Princeton
Qihong Lu research assistant 2015-2016 Stanford
Zhenglong Zhou research assistant 2017-2019
Katia Dilkina grad student Stanford
Jeremy Glick grad student Stanford
Yuko Munakata grad student Carnegie Mellon
Leigh Erik Nystrom grad student Carnegie Mellon
Randall C. O'Reilly grad student Carnegie Mellon
Roman Taraban grad student (PsychTree)
Adam G Thomas grad student University of Pittsburgh
Jonathan D. Cohen grad student 1990 Carnegie Mellon
Axel Cleeremans grad student 1988-1991 Carnegie Mellon
Craig E. L. Stark grad student 1992-1997 Carnegie Mellon
Timothy T. Rogers grad student 2000 Carnegie Mellon
Daniel Mirman grad student 2000-2005 Carnegie Mellon
Gary Lupyan grad student 2003-2007 Carnegie Mellon
Erin M. Ingvalson grad student 2002-2008 Carnegie Mellon / Univ. of Pittsburgh
Daniel A. Sternberg grad student 2006-2011 Stanford
Amy H. Criss post-doc Carnegie Mellon
Juan Joanne Gao post-doc
Alan Kawamoto post-doc Carnegie Mellon
Samat Moldakarimov post-doc Carnegie Mellon / Univ. of Pittsburgh
David C. Plaut post-doc Carnegie Mellon
David A. Medler post-doc 1998-2001
Dahlia Sharon research scientist Stanford


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Mark S. Seidenberg collaborator UW Madison
David E. Rumelhart collaborator 1976-1984 UCSD
 (JLM learned mathematical modeling from DER then they developed PDP models together)
Kevin N. Dunbar collaborator 1985-1988 University of Toronto
Konstantinos Tsetsos collaborator 2009-2012
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McClelland JL, McNaughton BL, Lampinen AK. (2020) Integration of new information in memory: new insights from a complementary learning systems perspective. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences. 375: 20190637
Kanayet FJ, Mattarella-Micke A, Kohler PJ, et al. (2017) Distinct Representations of Magnitude and Spatial Position within Parietal Cortex during Number-Space Mapping. Journal of Cognitive Neuroscience. 1-19
Kumaran D, Hassabis D, McClelland JL. (2016) What Learning Systems do Intelligent Agents Need? Complementary Learning Systems Theory Updated. Trends in Cognitive Sciences. 20: 512-34
Joanisse MF, McClelland JL. (2015) Connectionist perspectives on language learning, representation and processing. Wiley Interdisciplinary Reviews. Cognitive Science. 6: 235-47
Noorbaloochi S, Sharon D, McClelland JL. (2015) Payoff Information Biases a Fast Guess Process in Perceptual Decision Making under Deadline Pressure: Evidence from Behavior, Evoked Potentials, and Quantitative Model Comparison. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 35: 10989-1011
Noorbaloochi S, Sharon D, McClelland JL. (2015) Payoff information biases a fast guess process in perceptual decision making under deadline pressure: Evidence from behavior, evoked potentials, and quantitative model comparison Journal of Neuroscience. 35: 10989-11011
McClelland JL. (2015) Resilient properties of thought and experience Language, Cognition and Neuroscience
Joanisse MF, McClelland JL. (2015) Connectionist perspectives on language learning, representation and processing Wiley Interdisciplinary Reviews: Cognitive Science. 6: 235-247
Sadeghi Z, McClelland JL, Hoffman P. (2014) You shall know an object by the company it keeps: An investigation of semantic representations derived from object co-occurrence in visual scenes. Neuropsychologia
McClelland JL, Mirman D, Bolger DJ, et al. (2014) Interactive activation and mutual constraint satisfaction in perception and cognition. Cognitive Science. 38: 1139-89
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