James L. McClelland
Affiliations: | Stanford University, Palo Alto, CA |
Area:
Cognitive Science and Cognitive NeuroscienceWebsite:
http://psychology.stanford.edu/~jlm/Google:
"James McClelland"Cross-listing: Neurotree
Children
Sign in to add trainee| Eric S. De Vos | research assistant | 1976-1976 | UCSD (Neurotree) |
| Devika Narain | research assistant | 2007-2007 | Stanford (Neurotree) |
| Ritwik K. Niyogi | research assistant | 2007-2007 | Stanford (Neurotree) |
| Anna C. Schapiro | research assistant | 2006-2009 | Princeton (Neurotree) |
| Qihong Lu | research assistant | 2015-2016 | Stanford (Neurotree) |
| Zhenglong Zhou | research assistant | 2017-2019 | (Neurotree) |
| Katia Dilkina | grad student | Stanford (Neurotree) | |
| Jeremy Glick | grad student | Stanford (Neurotree) | |
| Yuko Munakata | grad student | Carnegie Mellon (Neurotree) | |
| Leigh Erik Nystrom | grad student | Carnegie Mellon (Neurotree) | |
| Randall C. O'Reilly | grad student | Carnegie Mellon (Neurotree) | |
| Andrew Saxe | grad student | (Neurotree) | |
| Roman Taraban | grad student | (PsychTree) | |
| Adam G Thomas | grad student | University of Pittsburgh (Neurotree) | |
| Jonathan D. Cohen | grad student | 1990 | Carnegie Mellon (Neurotree) |
| Axel Cleeremans | grad student | 1988-1991 | Carnegie Mellon (Neurotree) |
| Craig E. L. Stark | grad student | 1992-1997 | Carnegie Mellon (Neurotree) |
| Timothy T. Rogers | grad student | 2000 | Carnegie Mellon (Neurotree) |
| 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 (Neurotree) |
| Daniel A. Sternberg | grad student | 2006-2011 | Stanford (Neurotree) |
| Pavlos Kollias | grad student | 2010-2012 | Stanford (Neurotree) |
| Amy H. Criss | post-doc | Carnegie Mellon (Neurotree) | |
| Juan Joanne Gao | post-doc | (Neurotree) | |
| Alan Kawamoto | post-doc | Carnegie Mellon | |
| Samat Moldakarimov | post-doc | Carnegie Mellon / Univ. of Pittsburgh (Neurotree) | |
| David C. Plaut | post-doc | Carnegie Mellon | |
| David A. Medler | post-doc | 1998-2001 | (Neurotree) |
| Michael A. Erickson | post-doc | 1999-2002 | Carnegie Mellon (Neurotree) |
| Dahlia Sharon | research scientist | Stanford (Neurotree) |
Collaborators
Sign in to add collaborator| Mark S. Seidenberg | collaborator | UW Madison (Neurotree) | ||
| David E. Rumelhart | collaborator | 1976-1984 | UCSD (Neurotree) | |
| (JLM learned mathematical modeling from DER then they developed PDP models together) | ||||
| Kevin N. Dunbar | collaborator | 1985-1988 | University of Toronto (Neurotree) | |
| Konstantinos Tsetsos | collaborator | 2009-2012 | (Neurotree) | |
BETA: Related publications
See more...
Publications
|
You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect. |
| McClelland JL, Hill F, Rudolph M, et al. (2020) Placing language in an integrated understanding system: Next steps toward human-level performance in neural language models. Proceedings of the National Academy of Sciences of the United States of America |
| 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 |
| Henderson CM, McClelland JL. (2020) Intrusions into the shadow of attention: A new take on illusory conjunctions. Attention, Perception & Psychophysics |
| Testolin A, Zou Y, McClelland JL. (2020) Numerosity discrimination in deep neural networks: Initial competence, developmental refinement and experience statistics. Developmental Science |
| Rabovsky M, McClelland JL. (2020) Quasi-compositional mapping from form to meaning: a neural network-based approach to capturing neural responses during human language comprehension. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences. 375: 20190313 |
| McClelland JL. (2020) Exemplar models are useful and deep neural networks overcome their limitations: A commentary on Ambridge (2020) First Language. 40: 612-615 |
| Suri G, Gross JJ, McClelland JL. (2019) Value-based decision making: An interactive activation perspective. Psychological Review |
| Saxe AM, McClelland JL, Ganguli S. (2019) A mathematical theory of semantic development in deep neural networks. Proceedings of the National Academy of Sciences of the United States of America |
| Di Nuovo A, McClelland JL. (2019) Developing the knowledge of number digits in a child-like robot Nature Machine Intelligence. 1: 594-605 |
| Rabovsky M, Hansen SS, McClelland JL. (2018) Modelling the N400 brain potential as change in a probabilistic representation of meaning. Nature Human Behaviour. 2: 693-705 |