Articles with public access mandates - George KachergisLearn more
Available somewhere: 32
An associative model of adaptive inference for learning word–referent mappings
G Kachergis, C Yu, RM Shiffrin
Psychonomic bulletin & review 19, 317-324, 2012
Mandates: US National Institutes of Health
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
Mandates: US National Institutes of Health
A bootstrapping model of frequency and context effects in word learning
G Kachergis, C Yu, RM Shiffrin
Cognitive science 41 (3), 590-622, 2017
Mandates: US National Institutes of Health
Desirable difficulties during the development of active inquiry skills
G Kachergis, M Rhodes, T Gureckis
Cognition 166, 407-417, 2017
Mandates: US National Science Foundation
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
Mandates: European Commission
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
Mandates: European Commission
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
Mandates: US National Institutes of Health
Cross-situational word learning is both implicit and strategic
G Kachergis, C Yu, RM Shiffrin
Frontiers in Psychology 5, 588, 2014
Mandates: US National Institutes of Health
Everyday robotic action: lessons from human action control
R De Kleijn, G Kachergis, B Hommel
Frontiers in Neurorobotics 8, 13, 2014
Mandates: European Commission
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
Mandates: US National Institutes of Health
Detecting social information in a dense database of infants' natural visual experience.
B Long, G Kachergis, K Agrawal, MC Frank
CogSci, 2020
Mandates: US National Science Foundation
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
Mandates: US National Institutes of Health
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
Mandates: European Commission
Online computerized adaptive tests of children's vocabulary development in English and Mexican Spanish
G Kachergis, VA Marchman, PS Dale, J Mankewitz, MC Frank
Journal of Speech, Language, and Hearing Research 65 (6), 2288-2308, 2022
Mandates: US National Institutes of Health
Simultaneous Cross-situational Learning of Category and Object Names
T Gangwani, G Kachergis, C Yu
Proceedings of the 32nd Annual Conference of the Cognitive Science Society, 2010
Mandates: US National Institutes of Health
Continuous Measure of Word Learning Supports Associative Model
G Kachergis, C Yu
Mandates: US National Institutes of Health
Predictive movements and human reinforcement learning of sequential action
R de Kleijn, G Kachergis, B Hommel
Cognitive science 42, 783-808, 2018
Mandates: European Commission
Peekbank: An open, large-scale repository for developmental eye-tracking data of children’s word recognition
M Zettersten, D Yurovsky, TL Xu, S Uner, ASM Tsui, RM Schneider, ...
Behavior Research Methods 55 (5), 2485-2500, 2023
Mandates: US National Institutes of Health
ManyBabies 5: A large-scale investigation of the proposed shift from familiarity preference to novelty preference in infant looking time
J Kosie, M Zettersten, R Abu-Zhaya, D Amso, M Babineau, H Baumgartne, ...
Mandates: US National Institutes of Health, Social Sciences and Humanities Research …
Human reinforcement learning of sequential action
G Kachergis, F Berends, R Kleijn, B Hommel
Proceedings of the Annual Meeting of the Cognitive Science Society 38, 2016
Mandates: European Commission
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