George Kachergis

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Chen YuProfessor, University of Texas at AustinVerified email at austin.utexas.edu
Roy de KleijnAssistant Professor, Leiden UniversityVerified email at fsw.leidenuniv.nl
Bernhard HommelTU DresdenVerified email at bhommel.onmicrosoft.com
Michael C. FrankDavid and Lucile Packard Foundation Professor of Human Biology, Stanford UniversityVerified email at stanford.edu
Gregory E. CoxSUNY University at AlbanyVerified email at albany.edu
Todd GureckisProfessor of Psychology, New York UniversityVerified email at nyu.edu
Bria LongPostdoctoral Fellow, Stanford UniversityVerified email at stanford.edu
Virginia MarchmanResearch Scientist, Psychology, Stanford UniversityVerified email at stanford.edu
Michael N JonesW. K. Estes Professor, Indiana UniversityVerified email at indiana.edu
Gabriel RecchiaModulo Research LtdVerified email at cam.ac.uk
Marjorie RhodesProfessor of Psychology, New York UniversityVerified email at nyu.edu
Dean WyatteUniversity of Colorado BoulderVerified email at colorado.edu
Randall O'ReillyProfessor of Psychology and Computer Science, Center for Neuroscience, University of CaliforniaVerified email at ucdavis.edu
Robert GoldstoneDistinguished Professor, Indiana UniversityVerified email at indiana.edu
Jessica MankewitzStanford UniversityVerified email at stanford.edu
Naiti Sanjiv BhattUniversity of EdinburghVerified email at sms.ed.ac.uk
Andrew HendricksonTilburg UniversityVerified email at tilburguniversity.edu
Shohei HidakaAssociate Professor, Japan Advanced Institute of Science and TechnologyVerified email at jaist.ac.jp
William SchuellerComplexity Science Hub ViennaVerified email at csh.ac.at
Pierre-Yves OudeyerResearch director, InriaVerified email at inria.fr

George Kachergis

Research Scientist, Stanford University

Verified email at stanford.edu - Homepage

Computational Models of Cognition Learning Memory Language Acquisition


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An associative model of adaptive inference for learning word–referent mappings G Kachergis, C Yu, RM Shiffrin Psychonomic bulletin & review 19 (2), 317-324, 2012	100	2012
Frequency and contextual diversity effects in cross-situational word learning G Kachergis, R Shiffrin, C Yu Proceedings of the annual meeting of the cognitive science society 31 (31), 2009	51	2009
Actively learning object names across ambiguous situations G Kachergis, C Yu, RM Shiffrin Topics in Cognitive Science 5 (1), 200-213, 2013	45	2013
A bootstrapping model of frequency and context effects in word learning G Kachergis, C Yu, RM Shiffrin Cognitive science 41 (3), 590-622, 2017	43	2017
Toward a scalable holographic word-form representation GE Cox, G Kachergis, G Recchia, MN Jones Behavior research methods 43, 602-615, 2011	40	2011
Desirable difficulties during the development of active inquiry skills G Kachergis, M Rhodes, T Gureckis Cognition 166, 407-417, 2017	31	2017
A continuous-time neural model for sequential action G Kachergis, D Wyatte, RC O'Reilly, R de Kleijn, B Hommel Philosophical Transactions of the Royal Society B: Biological Sciences 369 …, 2014	29	2014
Temporal contiguity in cross-situational statistical learning G Kachergis, R Shiffrin, C Yu Proceedings of the Annual Meeting of the Cognitive Science Society 31 (31), 2009	29	2009
Gaussian Process Regression for Trajectory Analysis GE Cox, G Kachergis, RM Shiffrin 34th Annual Conference of the Cognitive Science Society, 2012	27	2012
Cross-situational word learning is better modeled by associations than hypotheses G Kachergis, C Yu, RM Shiffrin 2012 ieee international conference on development and learning and …, 2012	22	2012
Anthropomorphization of artificial agents leads to fair and strategic, but not altruistic behavior R De Kleijn, L van Es, G Kachergis, B Hommel International Journal of Human-Computer Studies 122, 168-173, 2019	21	2019
Everyday robotic action: lessons from human action control R De Kleijn, G Kachergis, B Hommel Frontiers in Neurorobotics 8, 13, 2014	20	2014
Learning Nouns with Domain-General Associative Learning Mechanisms G Kachergis 34th Annual Conference of the Cognitive Science Society, 2012	18	2012
Cross-Situational Statistical Learning: Implicit or Intentional? G Kachergis, C Yu, RM Shiffrin Proceedings of the 32nd Annual Conference of the Cognitive Science Society …, 2010	18	2010
Cross-situational word learning is both implicit and strategic G Kachergis, C Yu, RM Shiffrin Frontiers in Psychology 5, 588, 2014	17	2014
Observing and modeling developing knowledge and uncertainty during cross-situational word learning G Kachergis, C Yu IEEE Transactions on Cognitive and Developmental Systems 10 (2), 227-236, 2017	13	2017
Trajectory effects in a novel serial reaction time task G Kachergis, F Berends, R De Kleijn, B Hommel Proceedings of the Annual Meeting of the Cognitive Science Society 36 (36), 2014	12	2014
Detecting social information in a dense database of infants' natural visual experience. B Long, G Kachergis, K Agrawal, MC Frank CogSci, 2020	11*	2020
The theory of localist representation and of a purely abstract cognitive system: the evidence from cortical columns, category cells, and multisensory neurons A Roy Frontiers in psychology 8, 186, 2017	11	2017
OrBEAGLE: integrating orthography into a holographic model of the lexicon G Kachergis, GE Cox, MN Jones Artificial Neural Networks and Machine Learning–ICANN 2011: 21st …, 2011	11	2011

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