| SUSTAIN: a network model of category learning. BC Love, DL Medin, TM Gureckis Psychological review 111 (2), 309, 2004 | 908 | 2004 |
| Bayesian fundamentalism or enlightenment? On the explanatory status and theoretical contributions of Bayesian models of cognition M Jones, BC Love Behavioral and brain sciences 34 (4), 169, 2011 | 574 | 2011 |
| Variability in the analysis of a single neuroimaging dataset by many teams R Botvinik-Nezer, F Holzmeister, CF Camerer, A Dreber, J Huber, ... Nature 582 (7810), 84-88, 2020 | 498 | 2020 |
| Feature centrality and conceptual coherence SA Sloman, BC Love, WK Ahn Cognitive Science 22 (2), 189-228, 1998 | 488 | 1998 |
| Comparing supervised and unsupervised category learning BC Love Psychonomic bulletin & review 9 (4), 829-835, 2002 | 278 | 2002 |
| Real-time strategy game training: emergence of a cognitive flexibility trait BD Glass, WT Maddox, BC Love PloS one 8 (8), e70350, 2013 | 233 | 2013 |
| Relations versus properties in conceptual combination EJ Wisniewski, BC Love Journal of memory and language 38 (2), 177-202, 1998 | 212 | 1998 |
| Decoding the brain’s algorithm for categorization from its neural implementation ML Mack, AR Preston, BC Love Current Biology 23 (20), 2023-2027, 2013 | 183 | 2013 |
| Approaches to analysis in model-based cognitive neuroscience BM Turner, BU Forstmann, BC Love, TJ Palmeri, L Van Maanen Journal of Mathematical Psychology 76, 65-79, 2017 | 163 | 2017 |
| Learning the exception to the rule: Model-based fMRI reveals specialized representations for surprising category members T Davis, BC Love, AR Preston Cerebral Cortex 22 (2), 260-273, 2012 | 152 | 2012 |
| Schematic influences on category learning and recognition memory. Y Sakamoto, BC Love Journal of Experimental Psychology: General 133 (4), 534, 2004 | 152 | 2004 |
| Dynamic updating of hippocampal object representations reflects new conceptual knowledge ML Mack, BC Love, AR Preston Proceedings of the National Academy of Sciences 113 (46), 13203-13208, 2016 | 147 | 2016 |
| Learning nonlinearly separable categories by inference and classification. T Yamauchi, BC Love, AB Markman Journal of Experimental Psychology: Learning, Memory, and Cognition 28 (3), 585, 2002 | 145 | 2002 |
| When more is less: Feedback effects in perceptual category learning WT Maddox, BC Love, BD Glass, JV Filoteo Cognition 108 (2), 578-589, 2008 | 128 | 2008 |
| SUSTAIN: A model of human category learning BC Love, DL Medin Aaai/iaai, 671-676, 1998 | 117 | 1998 |
| CAB: Connectionist analogy builder LB Larkey, BC Love Cognitive Science 27 (5), 781-794, 2003 | 116 | 2003 |
| Beyond common features: The role of roles in determining similarity M Jones, BC Love Cognitive Psychology 55 (3), 196-231, 2007 | 115 | 2007 |
| Short-term gains, long-term pains: How cues about state aid learning in dynamic environments TM Gureckis, BC Love Cognition 113 (3), 293-313, 2009 | 112 | 2009 |
| Building concepts one episode at a time: The hippocampus and concept formation ML Mack, BC Love, AR Preston Neuroscience letters 680, 31-38, 2018 | 110 | 2018 |
| Recency effects as a window to generalization: separating decisional and perceptual sequential effects in category learning. M Jones, BC Love, WT Maddox Journal of Experimental Psychology: Learning, Memory, and Cognition 32 (2), 316, 2006 | 106 | 2006 |
Todd GureckisProfessor of Psychology, New York UniversityVerified email at nyu.edu
