CURRICULUM VITAE

BRADLEY C. LOVE

(May, 2019)

 

ADDRESS

 

University                 University College London

                                    Experimental Psychology

                                    26 Bedford Way, Room 235

                                    London, UK WC1H 0AP

 

E-mail                         b.love@ucl.ac.uk

 

Website                      http://bradlove.org

 

Citizenship                UK and US

 

 

EDUCATION

 

                                    Ph.D. in Cognitive Psychology

Northwestern University, Evanston, IL

 

                                    B.S. Cognitive and Linguistic Sciences

Brown University, Providence, RI

 

POSITIONS

 

2016 -                          Turing Fellow at the Alan Turing Institute

 

2011 -                          Professor of Cognitive and Decision Sciences at University College London (UCL)

                                               

2010 -  2011                Full Professor in Psychology

                                    The University of Texas at Austin

 

2005 2010                Associate Professor in Psychology

The University of Texas at Austin

 

1999 2005                Assistant Professor in Psychology

The University of Texas at Austin

 

 

GRANTS, FELLOWSHIPS, AND HONORS

 

5/2019                        Royal Society Wolfson Fellowship, “Integrating Embedding Spaces”.

 

10/2018                      Turing Institute flagship project with Intel.

 

7/2018                        ESRC fellowship funding for a PhD studentship in AI.

 

6/2016                        National Institute of Health P01 (linked R01s), “Linking Brain, Behavior, and Development: Integrative Models of Category Learning.”

 

3/2016                        Inaugural Fellow at the Alan Turing Institute for data science.

 

6/2015                        Wellcome Trust Senior Investigator Award, “Neural and Computational Mechanisms of Categorisation.”

 

12/2014                      Fellow, APS.

 

6/2014                        The Leverhulme Trust, “Circumventing Limits in Memory Retrieval.”

 

5/2014                        Membership (elected) to the Memory Disorders Research Society.

 

9/2012                        IMPACT fellowship award (dunnhumby corporation and UCL).

 

8/2012                        Wellcome Trust New Start Equipment Award.

 

1/2012                        Fellow, Psychonomic Society.

 

5/2011                        NIH proposal R21 MH091523-01A1 “Model-Based fMRI of Dynamic Category Learning: The Memory and Attention Interface.”

 

5/2010                        AFOSR Gant #FA9550-10-1-0268, “A Dynamic Approach to Information Sampling and Learning.”

 

9/2009                        NSF Grant #0927315 (Co-PI, PI 2011-), “Predicting Disrupted Network Behavior.”

 

7/2009                        ARL Grant #W911NF-09-2-0038, “A Computational Learning Approach to Adaptive Information Displays for Enhancing Soldier Performance.”

 

3/2009                        Gyslain Giguere , a postdoctoral researcher in my lab, was awarded a fellowship from Quebec, Canada.

 

5/2007                        AFOSR Grant #FA9550-07-1-0178,“Category Learning by Clustering with Extension to Dynamic Environments.”

 

1/2007                        ARL Grant #W911NF-07-2-0023 Love (Co-PI), “Sustaining and Enhancing High Optempo Performance of Soldiers in the Transformed Military.”

 

6/2004                        AFOSR Grant #FA9550-04-1-0226, “Maximizing the Benefits of Training by Example and Direct Instruction.”

 

4/2004                        NSF CAREER Grant #0349101,“Flexible learning inside and outside the classroom.”

 

 

2/2003                        Awarded a Research Internship from University of Texas to fund an entering graduate student.

 

12/2002                      Awarded (along with Ahn, Goldstone, Markman, and Wolff) by the APA to host a conference honouring Doug Medin.

 

6/2002                        Admitted and attended the APA’s summer institute in fMRI at Harvard-MGH.

 

2/2002                        J. S. McDonnell Foundation grant titled “Interdisciplinary Collaborative Consortium on the Cognitive Neuroscience of Category Learning.”  I am one of numerous co-investigators (Mark Gluck is the PI).

           

5/2001                        AFOSR Grant #F49620-01-1-0295, “Adaptive Learning Across Task Environments.”

 

10/2000                      Awarded a Research Internship from University of Texas to fund an entering graduate student.

                                   

4/2000                        Awarded a Summer Research Assistantship from the University of Texas.

 

1996 - 1999                 Graduate Fellowship, NDSEG.  Funded to pursue my research.

 

4/1996                        National Science Foundation Graduate Fellowship.  I received, but declined, an NSF fellowship.

 

SERVICE TO FIELD

 

journals                       Acta Psychologica; Attention, Perception, & Psychophysics; Artificial Intelligence; Australian Journal of Psychology; Behavioral and Brain Sciences; Behavior Research Methods; Cerebral Cortex; Cognition; Cognitive Psychology (Associate Editor 2014-2017); Cognitive Science (Editorial Board 2006-2009); Current Directions in Psychological Science; Experimental Psychology; Decision; Frontiers in Cognitive Science (Editorial Board 2012-2014); Frontiers in Developmental Psychology (Editorial Board 2010-2014); Human Brain Mapping; International Journal of Science and Mathematics Education (Special Issue Editor, 2012-2014); JARMAC; Journal of Experimental Child Psychology; Journal of Cognitive Psychology; Journal of Experimental Psychology: General; Journal of Experimental Psychology: Human Perception and Performance; Journal of Experimental Psychology: Learning, Memory, and Cognition (Editorial Board 2006-2009); Journal of Experimental Social Psychology; Journal of Mathematical Psychology (Special Issue Editor 2014-2015); Journal of Memory and Language; Journal of Neuroscience; Journal of Vision; Journal of Vision; Language and Cognitive Processes; Memory & Cognition (Editorial Board 2006-2009; Associate Editor 2009-2012); Nature; Nature Communications; Natre Human Behaviour; Neural Computation; NeuroImage; Perception & Psychophysics; Perspectives on Psychological Science;PLoS Computational Biology; PLoS ONE; Proceedings of the National Academy of Sciences; Psychological Bulletin; Psychological Review; Psychological Science; Psychonomic Bulletin and Review (Editorial Board 2006-2010); Science; Scientfic Reports; Trends in Cognitive Sciences; Quarterly Journal of Experimental Psychology; Visual Cognition; Wiley Interdisciplinary Reviews.

                                   

conferences                 AAAI 2006 (senior program committee member); Biologically Inspired Cognitive Architecture (BICA); FLAIRS; ICCM; ICONIP; NIPS; Awards Chair of 2007 Cognitive Science Society annual conference; Co-Chair of 2008 Cognitive Science Society annual conference, Cognitive Science Society Program Committee member (various years).

                                   

grants                          AFOSR’s Perception & Cognition Program; ANR (France); BBSRC; Canada Foundation for Innovation; ESRC; ESRC Rapporteur; EU Human Brain Project panel member (2014); FONDECYT Sicologia (Chile); FNR (Luxembourg); FNRS (Belgium); FWO (Belgium); Leverhulme Trust; MRC; NASA’s Intelligent Systems (Human-Centered Computing); National Endowment for the Humanities; Israeli Science Foundation panel member (2011), National Endowment for the Humanities; NIMH Cognition, Language, and Perception (Fellowship) panel member (2006-2007); National Science Foundation (Cognitive Neuroscience); National Science Foundation Perception, Action, and Cognition panel member (2005-2007); National Science Foundation program evaluator (2012) for UCSD Science of Learning Center; NSERC (Canada); National Science Foundation (Decision, Risk and Management Sciences); Research Council of Leuven (Belgium); UKRI Future Leaders Fellowships; University of Texas at Austin Research Internship (RI) fellowship, the Wellcome Trust.

 

other                          Assisting Brain Imaging Data Structure (BIDS) group extend standard to computational modelling; Comment of House of Lords request for feedback on how government should regulate Artificial Intelligence; Consultant for BBC Horizon (2014-2015, Episode 19) “Are Video Games Really That Bad?”; Outside evaluator on tenure and promotion cases, and Ph.D. dissertations. Consultant for Charles A. Dana Center academic youth development program.  Air Force AMBR project expert panel member (2002-2004), program committee member for FLAIRS 2002 Special Track “Categorization and Concept Representation: Models and Implications”; Program evaluation for Oxford’s new Social Data Science programme; Program evaluation for Kingston’s new Decision Sciences MSc programme; Consultant on Scientific Content of BBC Horizon episode (2015); Programme evaluation for Oxford Internet Institute’s newly proposed MSc (2017), Programme evaluation for Warwick new Psychology and Data Science MSc (2016); Consultant for Ofgem, dunnhumby, the Take Five (https://takefive-stopfraud.org.uk/) public service.

 

UNIVERSITY SERVICE

 

                                    Mentor for Research Fellows at Turing (2017- )

 

Deputy Chair, (9/2014 - 1/2019)

 

Head of the Cognitive Systems Area at Texas (7/2007- 8/2011)

                                   

Countless Masters and Ph.D. committees.

 

Member of numerous committees.

 

ADVISING

 

Postdoctoral             

Christiane Ahlheim (2016-2018)

Sebastian Bobadilla-Suarez (2017-)

Kurt Braunlich (2016-2019, now at NIH)

Johan Carlin (2016-2017, now Cambridge CBU)

Gyslain Giguere (2009-2013, now a U. of Montreal)

Olivia Guest (2017-)

Giles Greenway (2018-2019)

Aaron Hoffman (2007- 2011)

Matthew Jones (2003-2007, now U. of Colorado Assoc. Prof.)

Mike Mack (2011- 2016, now U. of Toronto Asst. Prof)

Rob Mok (2017-2020, Leverhulme Fellowship at Cambridge)

Brett Roads (2018-)

Nick Sexton (2019-)

 

Graduate                  

Eric Abel (2009-2010)

Sebastian Bobadilla-Suarez (2013-2017,now postdoc in lab)

Franziska Bröker (2019-, jointly advised with Peter Dayan)

Tyler Davis (2005-2010, now Texas Tech Asst. Prof.)

John Dennis (2003-2004)

Brian Glass (2011-2012)

Todd M. Gureckis (2001-2005, now NYU Assoc. Prof.)

Laura Holland (2008-2009)

Adam Hornsby (2016- )

Lukas Kopec (2012-2016)

Levi Larkey  (2002-2003)

Xiaolang “Ken” Liu (2018- )

Ross Otto (2007-2012, now McGill Asst. Prof.)

Katie Parker (2013-2016)

Paula Parpart (2012-2017, now postdoc at Warwick)

Peter Riefer (2012-2016)

Yasuaki Sakamoto (2000-2005, now Research Asst. Prof. at Stevens Institute of Technology)

Katherine Snyder (2007-2008)

Marc Tomlinson (2004-2010)

Anne Warlaumont (2006-2007)

 

A lot (5+ per year) of MSc and BSc students (2012-)

 

 

PUBLICATIONS (including selected preprints)

 

 

Poldrack, R. A. and many others (2019).  The importance of standards for sharing of computational models and data. https://psyarxiv.com/q3rnx (commentary)

 

Love, B. C. (2019). Model comparison, not model falsification. Behavioral and Brain Sciences, 41:e233-e233. (commentary)

 

Schulz, E., Bhui, R., Love, B.C., Brier, B., Todd, M.T., Gershman, S.J. (accepted). Structured, uncertainty-driven exploration in real-world consumer choice. PNAS.

 

Guest, O. & Love, B. C. (2019). Levels of Representation in a Deep Learning Model of Categorization . bioRxiv. https://doi.org/10.1101/626374

 

Mack, M.L., Preston, A.R. & Love, B.C. (2019). Ventromedial PFC compression during learning, preprint. bioRvix. https://doi.org/10.1101/178145

 

Broschard, M.B., Kim, J, Love, B.C., Wasserman, E.A., & Freeman, J.H. (2019). Selective attention in rat visual category learning. Learning & Memory, 26(3):, 84-92.

 

Hornsby, A. N., Evans, T., Riefer, P. S., Prior, R., & Love, B. C. (2018). Conceptual Organization is Revealed by Consumer Activity Patterns. arXiv. https://doi.org/1810.08577

 

Hornsby, A. N., & Love, B. C. (2018). How Decisions and the Desire for Coherency Shape Subjective Preferences Over Time. PsyArXiv. 10.31234/osf.io/nvpe9

 

Braunlich, K., Love, B.C. (2018). Bidirectional Influences of Information-Sampling and Concept Learning . PsyArXiv. https://doi.org/10.31234/osf.io/48ept

 

Bobadilla-Suarez, S., Ahlheim, C., Mehrotra, A., Panos, A., & Love, B. C. (2018). Measures of neural similarity. bioRxiv. https://doi.org/10.1101/439893

 

Mok, R. & Love, B. C. (2018). A non-spatial account of place and grid cells based on clustering models of concept learning. bioRxiv. https://doi.org/10.1101/421842 

 

Braunlich, K. & Love, B.C. (2018). Occipitotemporal Representations Reflect Individual Differences in Conceptual Knowledge. Journal of Experimental Psychology: General. https://doi.org/psycnet.apa.org/doi/10.1037/xge0000501

 

Inhoff, M.C., Libby, L.A., Noguchi, T., Love, B. C., & Ranganath, C. (2018). Dynamic integration of conceptual information during learning. PlosOne. https://doi.org/10.1371/journal.pone.0207357

 

Bobadilla-Suarez, S., & Love, B.C. (2018). Fast or Frugal, but not both: Decision Heuristics under Time Pressure. Journal of Experimental Psychology: Learning, Memory, and Cognition, 44(1), 24-33. DOI: 10.1037/xlm0000419

 

Ahlheim, C. & Love, B.C. (2018). Estimating the functional dimensionality of neural representations. NeuroImage, DOI: https://doi.org/10.1016/j.neuroimage.2018.06.015

 

Guest, O., Kanayet, F.J. Love, B.C. (2017). Gerrymandering and Computational Redistricting. arXiv: (preprint), DOI: https://arxiv.org/abs/1711.04640

 

Parpart, P., Jones, M. & Love, B.C. (2017). Heuristics as Bayesian inference under extreme priors. Cognitive Psychology. https://doi.org/10.1016/j.cogpsych.2017.11.006

 

Mack, M.L., Preston, A.R. & Love, B.C. (2017). Medial prefrontal cortex compresses concept representations through learning. Pattern Recognition in Neuroimaging, DOI: https://doi.org/10.1109/PRNI.2017.7981500

 

Mack, M.L., Love, B.C., Preston, A.R. (2017). Building concepts one episode at a time: The hippocampus and concept formation. Neuroscience Letters, DOI: https://doi.org/10.1016/j.neulet.2017.07.061

 

De Martino, B., Bobadilla-Suarez, S., Nouguchi, T., Sharot, T., & Love, B.C. (2017). Social Information is Integrated into Value and Confidence Judgments According to its Reliability. Journal of Neuroscience, 3880-16; DOI: https://doi.org/10.1523/JNEUROSCI.3880-16.2017

 

Palmeri, T.J., Love, B.C., & Turner, B.M. (2017). Model-based cognitive neuroscience. Journal of Mathematical Psychology, 76, 59-64.

 

Riefer, P.S., & Love, B.C. (2017). Coherency Maximizing Exploration in the Supermarket. Nature Human Behaviour, 1, 0017, DOI: 10.1038/s41562-016-0017.

 

Guest, O., Love, B.C. (2017). What the Success of Brain Imaging Implies about the Neural Code. eLife, 6:e21397, http://dx.doi.org/10.7554/eLife.21397

 

Mack, M.L., Love, B.C., Preston, A.R. (2016). Dynamic updating of hippocampal object representations reflects new conceptual knowledge. Proceedings of the National Academy of Sciences (PNAS), 113(46), 13203–13208.. http://dx.doi.org/10.1101/071118.

 

Spiers, H.J., Love, B.C., Le Pelley, M.E., Gibb, C.E., & Murphy, R.A. (2016). Anterior Temporal Lobe Tracks the Formation of Prejudice. Journal of Cognitive Neuroscience. DOI: 10.1162/jocn_a_01056

 

Turner, B.M., Forstmann, B.U., Love, B.C., Palmeri, T.J. & Van Maanen, L. (in press). Approaches to Analysis in Model-based Cognitive Neuroscience. Journal of Mathematical Psychology. http://dx.doi.org/10.1016/j.jmp.2016.01.001.

 

Love, B.C. (2016). Cognitive Models as Bridge between Brain and Behavior. Trends in Cognitive Science, 4, 247–248.

 

Blanco, N.J., Love, B.C., Ramscar, M., Otto, A.R., Smayda, K. & Maddox, W.T. (2016). Exploratory Decision-Making as a Function of Lifelong Experience, not Cognitive Decline. Journal of Experimental Psychology: General, 3, 284-297.

 

Love, B.C., Kopec, L., & Guest, O. (2015). Optimism Bias in Fans and Sports Reporters. PLOS ONE, 0(9):e0137685.

 

Riefer, P.S., & Love, B.C. (2015). Unfazed by Both the Bull and Bear: Strategic Exploration in Dynamic Environments. Games, 6, 251-261.

 

Newall, P., & Love, B.C. (2015). Nudging Investors Big and Small Toward Better Decisions. Decision, 2, 319-326.

 

Blanco, N.J., Love, B.C., Cooper, J.A., McGeary, J.E., Knopik, V.S., & Maddox, W.T. (2015). A Frontal Dopamine System for Reflective Exploratory Behavior. Neurobiology of Learning and Memory, 123, 84-91.

 

Love, B.C. (2015). The Algorithmic Level is the Bridge Between Computation and Brain. Topics in Cognitive Science, 7, 230-242.

 

Patil, K., Zhu, X., Kopec, L., & Love, B.C. (2014). Optimal Teaching for Limited-Capacity Human Learners. Neural Information Processing Systems (NIPS).

 

Hornsby, A.N. & Love, B.C. (2014). Improved Classification of Mammograms Following Idealized Training. Journal of Applied Research in Memory and Cognition, 3, 72-76.

 

Otto, A.R., Knox, W.B. Markman, A.B., & Love, B. C. (2014). Physiological and Behavioral Signatures of Reflective Exploratory Choice. Cognitive, Affective, & Behavioral Neuroscience, 14, 1167-1183.

 

Davis, T., Xue, G., Love, B.C., Preston, A.R. & Poldrack, R.A. (2014). Global Neural Pattern Similarity As A Common Basis For Categorization and Recognition Memory. Journal of Neuroscience, 34 (22), 7472-7484.

 

Ramscar, M., Hendrix, P., Love, B. C. & Baayen, H. (2013). Learning is not decline: The mental lexicon as a window into cognition across the lifespan. The Mental Lexicon, 8(3), 450-481.

 

Mack, M.L., Preston, A.R. & Love, B.C. (2013). Decoding the Brain's Algorithm for Categorization from its Neural Implementation. Current Biology, 23, 2023-2027.

 

Blanco, N.J., Otto, A.R., Maddox, W.T., Beevers, C.G. & Love, B.C. (2013). The Influence of Depression Symptoms on Exploratory Decision-Making. Cognition, 129, 563-568.

 

GiguŹre, G. & Love, B.C. (2013). Limits in decision making arise from limits in memory retrieval. Proceedings of the National Academy of Sciences of the United States of America (PNAS), 110 (19), 7613-7618.

 

Glass, B.D., Maddox, W.T. & Love, B.C. (2013). Real-Time Strategy Game Training: Emergence of a Cognitive Flexibility Trait. PLOS ONE, 8 (8).

 

Sanders, M., Davis, T., & Love, B.C. (2013). Are Better Examples Beautiful or Are Beautiful Examples Better? Exploring the Relationship Between Beauty and Category Structure. Psychonomic Bulletin & Review, 20, 566-573.

 

Knox, W.B., Glass, B.D., Love, B.C., Maddox, W.T., & Stone, P. (2012). How humans teach agents. International Journal of Social Robotics, 4 (4), 409-421.

 

Davis, T., Love, B.C., & Maddox, W.T. (2012). Age-related Declines in the Fidelity of Newly Acquired Category Representations. Learning and Memory, 19, 325-329.

 

Davis, T., Love, B.C., & Preston, A.R. (2012). Striatal and Hippocampal Entropy and Recognition Signals in Category Learning: Simultaneous Processes Revealed by Model-based fMRI. Journal of Experimental Psychology: Learning, Memory, and Cognition, 38,821-839. (special issue on Theory and data in categorization: Integrating computational, behavioral, and cognitive neuroscience approaches).

 

Knox, W.B., Otto, A.R., Stone, P., & Love, B.C. (2012). The Nature of Belief-Directed Exploratory Choice in Human Decision-Making. Frontiers in Psychology, 2, 398.

 

Otto, A.R., Markman, A.B., & Love, B.C. (2012). Taking More, Now: The Optimality of Impulsive Choice Hinges on Environment Structure. Social Psychological and Personality Science, 3(2), 131-138.

 

Davis, T., Love, B.C., & Preston, A.R. (2012).  Learning the Exception to the Rule: Model-Based fMRI Reveals Specialized Representations for Surprising Category Members. Cerebral Cortex, 22, 260-273.

 

Jones, M. & Love, B.C. (2011). Bayesian Fundamentalism or Enlightenment? On the Explanatory Status and Theoretical Contributions of Bayesian Models of Cognition. Behavioral and Brain Sciences, 34, 169-231. (target article and response to commentaries).

 

Goldwater, M.B., Tomlinson, M.T., Echols, C.H., & Love, B.C. (2011). Structural Priming as Structure-Mapping: Children Use Analogies from Previous Utterances To Guide Sentence Production. Cognitive Science, 35, 156-170.

 

Sakamoto, Y., & Love, B.C. (2010). Learning and Retention through Predictive Inference and Classification. Journal of Experimental Psychology: Applied, 16, 361-377

 

Tomlinson, M.T., & Love, B.C. (2010). When Learning to Classify by Relations Is Easier Than by Features. Thinking & Reasoning, 16, 372-401.

 

Otto, A.R., Gureckis, T.M., Markman, A.B., & Love, B.C. (2010). Regulatory Fit and Systematic Exploration in a Dynamic Decision-Making Environment. Journal of Experimental Psychology: Learning, Memory, & Cognition, 36(3), 797-804.

 

Otto, A.R., & Love, B.C. (2010). You Don't Want To Know What You're Missing: When Information about Forgone Rewards Impedes Dynamic Decision Making. Judgment and Decision Making, 5, 1-10.

 

Davis, T., & Love, B.C. (2010). Memory for Category Information is Idealized through Contrast with Competing Options. Psychological Science, 21, 234-242.

 

Gureckis, T. M., & Love, B. C. (2010). Direct Associations or Internal Transformations? Exploring the Mechanisms Underlying Sequential Learning Behavior. Cognitive Science, 34, 10-50.

 

Gureckis, T.M., & Love, B.C. (2009).  Short Term Gains, Long Term Pains: How cues about state aid learning in dynamic environments. Cognition, 113, 293-313.

 

Otto, A.R., Gureckis, T.M., Markman, A.B., & Love, B.C. (2009). Navigating through Abstract Decision Spaces: Evaluating the Role of State Generalization in a Dynamic Decision-Making Task. Psychonomic Bulletin & Review, 16, 957-963.

 

Davis, T., & Love, B.C. (2009). Anticipatory Emotions in Decision Tasks: Covert Markers of Value or Attentional Processes? Cognition, 112, 195-200.

 

Davis, T., Love, B.C., & Maddox, W.T. (2009). Two Pathways to Stimulus Encoding in Category Learning? Memory & Cognition 37, 394-413

 

Gureckis, T. M., & Love, B. C. (2009).  Learning in Noise: Dynamic Decision-Making in a Variable Environment. Journal of Mathematical Psychology, 150, 180-193.

 

Sakamoto, Y., Jones, M., & Love, B. C. (2008). Putting the Psychology Back into Psychological Models: Mechanistic vs. Rational Approaches. Memory & Cognition, 36, 1057-1065.

 

Maddox, W. T., Love, B. C.,  Glass, B. D., & Filoteo, J. V. (2008). When more is less: Feedback effects in perceptual category learning. Cognition, 108, 578-589.

 

Love, B. C., & Gureckis, T. M. (2007). Models in search of a brain. Cognitive, Affective, & Behavioral Neuroscience, 90-108.

 

Jones, M., & Love, B. C. (2007). Beyond common features: The role of roles in determining similarity. Cognitive Psychology, 55, 196-231.

 

Sakamoto, Y., & Love, B. C. (2006). Vancouver, Toronto, Montreal, Austin: Enhanced oddball memory through differentiation, not isolation.  Psychonomic Bulletin & Review, 13, 474-479.

 

Jones, M., Love, B. C., & Maddox, W. T.  (2006)  Recency as a window to generalization: Separating decisional and perceptual sequential effects in category learning.  Journal of Experimental Psychology:  Learning, Memory, and Cognition, 32, 316-332.

 

Love, B. C. (2005). Environment and goals jointly direct category acquisition. Current Directions in Psychological Science, 14, 195-199.

 

Sakamoto, Y., & Love, B. C. (2004). Schematic influences on category learning and recognition memory. Journal of Experimental Psychology: General, 133, 534-553.

 

Love, B. C., Medin, D. L., & Gureckis, T. M. (2004). SUSTAIN: A network model of category learning. Psychological Review, 111, 309-332.

 

Gureckis, T. M., & Love, B. C. (2004). Common mechanisms in infant and adult category learning. Infancy, 5, 173-198.

 

Larkey, L. B., & Love, B. C. (2003). CAB: Connectionist analogy builder. Cognitive Science, 27, 781-794.

 

Gureckis, T. M., & Love, B. C. (2003). Human unsupervised and supervised learning as a quantitative distinction. International Journal of Pattern Recognition and Artificial Intelligence, 17, 885-901.

 

Love, B. C., & Markman, A. B. (2003). The nonindependence of stimulus properties in human category learning. Memory & Cognition, 31, 790-799.

 

Love, B. C. (2003). The multifaceted nature of unsupervised category learning. Psychonomic Bulletin & Review, 10, 190-197.

 

Gureckis, T. M., & Love, B. C. (2003). Towards a unified account of supervised and unsupervised  category learning. Journal of Experimental and Theoretical Artificial Intelligence, 15, 1-24.

 

Love, B. C. (2002). Comparing supervised and unsupervised category learning. Psychonomic Bulletin & Review, 9, 829-835.

 

Yamauchi, T., Love, B. C., & Markman, A. B. (2002). Learning non-linearly separable categories by inference and classification. Journal of Experimental Psychology: Learning, Memory, and Cognition, 28, 585-593.

 

Love, B. C., Rouder, J. N., & Wisniewski, E. J. (1999). A structural account of global and local processing. Cognitive Psychology, 38, 291-316.

 

Sloman, S. A., Love, B. C., & Ahn, W. (1998). Feature centrality and conceptual coherence. Cognitive Science, 22, 189-228.

 

Wisniewski, E. J. & Love, B. C. (1998). Relations versus properties in conceptual combination. Journal of Memory and Language, 38, 177-202.

 

 

Peer Reviewed Proceedings

 

Parpart, P., Schulz, E., Speekenbrink, M., & Love, B.C. (2015). Active learning as a means to distinguish among prominent decision strategies. Proceedings of the Cognitive Science Society.

 

Hoffman, A.B., Love, B.C., & Markman, A.B. (2010). Selective Attention by Structural Alignment: An Eyetracking Study. Proceedings of the Annual Meeting of Cognitive Science Society. Mahwah, NJ: Lawrence Erlbaum Associates.

 

Tomlinson, M.T., Howe, M., Love, B.C. (2009). Seeing the world through an expert's eyes: Context-aware display as a training companion. Proceedings of HCI International, LNAI 5638, 668-677.

 

Love, B. C., Jones, M., Tomlinson, M.T., & Howe, M. (2009). Learning to Predict Information Needs: Context-Aware Display as a Cognitive Aid and an Assessment Tool. Proceedings of The ACM SIGCHI Conf. on Human Factors in Computing Systems (CHI 2009), 1351-1360.

 

Sakamoto, Y,. & Love, B.C. (2009). You Only Had to Ask Me Once: Long-term Retention Requires Direct Queries During Learning. Proceedings of the Annual Meeting of Cognitive Science Society. Mahwah, NJ: Lawrence Erlbaum Associates.

 

Otto, A.R., Gureckis, T.M., Markman, A.B., & Love, B.C. (2009).  When Things Get Worse before they Get Better: Regulatory Fit and Average-Reward Learning in a Dynamic Decision-Making Environment. . Proceedings of the Annual Meeting of Cognitive Science Society. Mahwah, NJ: Lawrence Erlbaum Associates.

 

Love, B. C., Jones, M., Tomlinson, M.T., & Howe, M. (2008). Predicting information needs: Adaptive display in dynamic environments. Proceedings of the Annual Meeting of Cognitive Science Society. Mahwah, NJ: Lawrence Erlbaum Associates.

 

Davis, T., Love, B.C., & Maddox, W.T. (2008). How Goals Shape Category Acquisition: The Role of Contrasting Categories. Proceedings of the Annual Meeting of Cognitive Science Society. Mahwah, NJ: Lawrence Erlbaum Associates.

 

Gureckis, T. M., & Love, B. C. (2007). Behaviorism Reborn? Statistical Learning as Simple Conditioning. Proceedings of the Cognitive Science Society. Mahwah, NJ: Lawrence Erlbaum Associates.

 

Davis, T., Love, B. C., & Maddox, W. T. (2007). Translating From Perceptual to Cognitive Coding. Proceedings of the Cognitive Science Society. Mahwah, NJ: Lawrence Erlbaum Associates.

 

Tomlinson, M., & Love, B. C. (2007). Relation-Based Categories are Easier to Learn than Feature-Based Categories. Proceedings of the Cognitive Science Society. Mahwah, NJ: Lawrence Erlbaum Associates.

 

Rein, J. R., Love, B. C., & Markman, A. B. (2007). Feature Relations and Feature Salience in Natural Categories. Proceedings of the Cognitive Science Society. Mahwah, NJ: Lawrence Erlbaum Associates.

 

Gureckis, T. M., & Love, B. C. (2006). Bridging levels: Using a cognitive model to connect brain and behavior in category learning. Proceedings of the Cognitive Science Society. Mahwah, NJ: Lawrence Erlbaum Associates.

 

Love, B. C., & Jones, M. (2006). The emergence of multiple learning systems. Proceedings of the Cognitive Science Society. Mahwah, NJ: Lawrence Erlbaum Associates.

 

Sakamoto, Y., & Love, B. C. (2006). Sizable sharks swim swiftly: Learning correlations through inference in a classroom setting. Proceedings of the Cognitive Science Society. Mahwah, NJ: Lawrence Erlbaum Associates.

 

Sakamoto, Y., Love, B. C., & Jones, M. (2006). Tracking variability in learning: Contrasting statistical and similarity-based accounts. Proceedings of the Cognitive Science Society. Mahwah, NJ: Lawrence Erlbaum Associates.

 

Jones, M., Maddox, W. T., & Love, B. C.  (2006). The role of similarity in generalization. Proceedings of the Cognitive Science Society. Mahwah, NJ: Lawrence Erlbaum Associates.

 

Tomlinson, M., & Love, B. C.  (2006). Learning abstract relations through analogy to concrete exemplars. Proceedings of the Cognitive Science Society. Mahwah, NJ: Lawrence Erlbaum Associates.

 

Tomlinson, M., & Love, B. C. (2006). From pigeons to humans: Grounding relational learning in concrete examples. Twenty-First National Conference on Artificial Intelligence (AAAI-2006), USA, 21, 136-141.

 

Gureckis, T. M., & Love, B. C. (2005). A critical look at the mechanisms underlying implicit sequence learning. Proceedings of the Cognitive Science Society. Mahwah, NJ: Lawrence Erlbaum Associates.

 

Jones, M., Maddox, W. T., & Love, B. C. (2005). Stimulus generalization in category learning. Proceedings of the Cognitive Science Society. Mahwah, NJ: Lawrence Erlbaum Associates.

 

Sakamoto, Y., & Love, B. C. (2005). A novel approach to understanding novelty effects in memory. Proceedings of the Cognitive Science Society. Mahwah, NJ: Lawrence Erlbaum Associates.

 

Jones, M., & Love, B. C. (2004). Beyond common features: The role of roles in determining similarity. Proceedings of the Cognitive Science Society. Mahwah, NJ: Lawrence Erlbaum Associates.

 

Sakamoto, Y., & Love, B. C. (2004). Type/token information in category learning and recognition. Proceedings of the Cognitive Science Society. Mahwah, NJ: Lawrence Erlbaum Associates.

 

Love, B. C., & Gureckis, T. M. (2004). The hippocampus: Where a cognitive model meets cognitive neuroscience. Proceedings of the Cognitive Science Society. Mahwah, NJ: Lawrence Erlbaum Associates.

 

Sakamoto, Y., Matuska, T., & Love, B. C. (2004).  Dimension-wide vs. exemplar-specific attention in category learning and recognition.  In M. Lovett, C. Schunn, C. Lebiere, and P. Munro (Eds.), Proceedings of the International Conference of Cognitive Modeling (pp. 261-266). Mahwah, New Jersey: Lawrence Erlbaum.

 

Sakamoto, Y., & Love, B. C. (2003). Category structure and recognition memory. Proceedings of the Cognitive Science Society. Mahwah, NJ:  Lawrence Erlbaum Associates.

 

Gureckis, T. M., & Love, B. C. (2002). Modeling unsupervised learning with SUSTAIN. In S. Haller & G. Simmons (Eds.), Proceedings of the 15th international Florida artificial intelligence research society conference (pp. 163-167). Menlo Park, California: AAAI Press.

 

Gureckis, T. M., & Love, B. C. (2002). Who says models can only do what you tell them? Unsupervised category learning data, fits, and predictions. Proceedings of the Cognitive Science Society, USA, 24, 399-404.

 

Love, B. C., Markman, A. B., & Yamauchi, T. (2000). Modeling classification and inference learning. Seventeenth National Conference on Artificial Intelligence (AAAI-2000), USA, 17, 136-141.

 

Love, B. C. (2000). A computational level theory of similarity. Proceedings of the Cognitive Science Society, USA, 22, 316-321.

 

Love, B. C. (2000). Learning at different levels of abstraction. Proceedings of the Cognitive Science Society, USA, 22, 800-805.

 

Love, B. C. (1999). Utilizing time: Asynchronous binding. Advances in Neural Information Processing Systems, 11, 38-44.

 

Love, B. C., & Medin, D. L. (1998). SUSTAIN: A model of human category learning. Proceedings of the Fifteenth National Conference on Artificial Intelligence (AAAI-98), USA, 15, 671-676.

 

Love, B. C., & Medin, D. L. (1998). Modeling item and category learning. Proceedings of the Twentieth Annual Conference of the Cognitive Science Society, USA, 20, 639-644.

 

Love, B. C. (1996). Mutability, conceptual transformation, and context. Proceedings of the Eighteenth Annual Conference of the Cognitive Science Society, USA, 18, 459-463.

 

Love, B. C., & Sloman, S. A. (1995). Mutability and the determinants of conceptual transformability. Proceedings of the Seventeenth Annual Conference of the Cognitive Science Society, USA, 17, 654-659.

 

Publications – Other

 

 

Love, B.C. (20-Oct 2016). Will AI spell the end of humanity? The tech industry wants you to think so. The Conversation.

 

Love, B.C. (7-May 2015). Gaming improves your brain power - reality or hype? The Conversation.

 

Gureckis, T.M., & Love, B.C. (2015). Computational Reinforcement Learning. Oxford Handbook of Computational and Mathematical Psychology (Eds. J.R. Busemeyer, J.T. Townsend, Z.J. Wang, A Eidels). Oxford University Press.

 

Love, B.C. (2015). Concepts, Meaning, and Conceptual Relationships. The Oxford Handbook of Cognitive Science. http://www.oxfordhandbooks.com/view/10.1093/oxfordhb/9780199842193.001.0001/oxfordhb-9780199842193-e-12

 

Love, B. C. (2013). Grounding quantum probability in psychological mechanism. Behavioral and Brain Sciences, 36, 296.

 

Love, B.C. (2013). Category Learning, Computational Perspectives. In Hal Pashler (Ed.), Encyclopedia of the Mind, Sage.

 

Love, B.C. (2013). Categorization. In K.N. Ochsner and S.M. Kosslyn (Eds.) Oxford Handbook of Cognitive Neuroscience, 342-358. Oxford Press.

 

Love, B.C., & Jones, M. (2012). Bayesian Learning. In B. Seel (Ed.), Encyclopedia of the Sciences of Learning. Springer.

 

Love, B. C., & Tomlinson, M. (2010). Rule-based vs. similarity-based concept learning.  In Denis Mareschal, Paul Quinn, Stephen Lea (Eds.), The Making of Human Concepts. Oxford University Press, 54-74.

 

 Tomlinson, M.T., & Love, B. C. (2008). Monkey see, monkey do: Learning relations through concrete examples. Behavioral and Brain Sciences, 31, 150-151.

 

Love, B.C., Tomlinson, M., & Gureckis, T.M. (2008). The concrete substrates of abstract rule use. In B.H. Ross, The Psychology of Learning and Motivation, 49, 167-207.

 

Love, B. C. (2007). Method and System for Adapting Display to Match User-Specific Information Preferences. Provisional Patent filed through UT.

 

Love, B. C. (2005). Method and apparatus for incorporating decision making into classifiers. US Patent #6,920,439.

 

Love, B. C. (2005). In vivo or in vitro: Cognitive architectures and task specific models. In R. W. Pew and K. A. Gluck, Modeling Human Behavior with Integrated Cognitive Architectures: Comparison, Evaluation, and Validation. 351-364. Mahwah, NJ: Lawrence Erlbaum.

 

Love, B. C., & Gureckis, T. M. (2005). Modeling learning under the influence of culture. In W. Ahn, R. L., Goldstone, B. C., Love, A. B., Markman, & P. Wolff (Eds.), Categorization inside and outside of the lab: Festschrift in Honor of Douglas L. Medin. 229-248. Washington, DC: American Psychological Association.

 

Ahn, W., Goldstone, R. L., Love, B. C., Markman, A. B., & Wolff, P. (Eds.). (2005). Categorization inside and outside of the lab: Festschrift in Honor of Douglas L. Medin. Washington, DC: American Psychological Association.

 

Love, B. C. (2003). Concept learning. In L. Nadel (Ed.), Encyclopedia of cognitive science (Vol. 1, pp. 646-652). London: Nature Publishing Group.

 

Love, B. C. (2002). Similarity and Categorization: A review [Review of the book Similarity and Cognition]. AI Magazine, 23, 103-105.

 

Love, B. C. (2002). Three deadly sins of category learning modelers. Behavioral and Brain Sciences, 24, 687-688.

 

Love, B. C. (2001). Uncovering analogy [Review of the book The Analogical Mind]. Trends in Cognitive Sciences, 5, 454-455.

 

 

SELECTED POPULAR WRITINGS (see http://bradlove.org/#press for more)

 

Love, B. C. (2019). BBC homepage for a week (500k hits first day). Do supermarkets know more about us than we do?  https://www.bbc.co.uk/news/business-47357292

 

Love, B. C. (2016). Will AI spell the end of humanity? The tech industry wants you to think so. The Register from The Conversation, https://www.theregister.co.uk/2016/10/25/will_ai_spell_the_end_of_humanity_the_tech_industry_wants_you_to_think_so

 

Love, B. C. (2015). Gaming improves your brain power – reality or hype? IFL from The Conversation, https://theconversation.com/gaming-improves-your-brain-power-reality-or-hype-41002

 

INVITED TALKS (not submitted conference papers, symposia, or abstracts)

 

7/2019                        DoD Future Directions Workshop on Human-Machine Learning, Arlington, VA.

 

7/2019                        General AI discussion panel, Royal Institution.

 

5/2019                        “Levels of Representation in a Deep Learning Model of Categorisation,” University of Bristol.

 

5/2019                        “Concept Learning as Compression,” Control Processes 2019, Brown University.

 

4/2019                        “Coherency Seeking as a Driver of Preferences,” Wharton Business School.

 

4/2019                        Working group on Brain Imaging Data Structure (BIDS) extension for computational modelling. Princeton University.

 

3/2019                        “A deep learning account of shape and colour biases in categorisation,” SRCD Biennial, Baltimore.

 

3/2019                        “Concept Learning as Compression,” ICPS, Paris.

 

9/2018                        Workshop presentation at “Interpreting BOLD: Furthering the dialogue between cellular and cognitive neuroscience” at Oxford.

 

9/2018                        “Evaluation of the predictive value of the HoNOS,” St Andrew's Healthcare.

 

6/2018                        “Predicting when consumers will be unpredictable “, Cheltenham Science Festival - How Predictable Are You? Hosted by Hannah Fry.

 

6/2018                        “Building useful representations based on human activity patterns”, UBEL DTC, UCL Innovation event.

 

6/2018                        “A deep learning account of shape and colour biases in categorisation”, for Multi-Disciplinary Developmental Dynamics (ETF2018).

 

5/2018                        “Distinct Accumulation and Aggregation Stages or Processes?”, Santa Fe Institute, working group on “Distributed Decision Making: Universal features of decision making via collective computation”.

 

6/2018                        “Concept Learning as Compression”, Cambridge CBU.

                                   

5/2018                        “Selective Attention for Dimensionality Reduction”, SBDM, Symposium on Biology of Decision Making, Paris.

 

4/2018                        “Concept Learning as Compression”, Brain and Behaviour Institute at the Research Centre Jülich.

 

3/2018                        "Attention as Uncertainty-Minimising Information Sampling”, reinforcement learning workshop at COSYNE in Colorado.

 

2/2018                        “Heuristics as Bayesian inference under extreme priors” keynote, for “Computational modeling of decision-making across scales: from neural coding to Policy-making”, Paris.

 

8/2017                        “Different Modes of Exploration”, Invited to join a symposium at ICON, Amsterdam.

 

5/2017                        “Exploration with Objective and Subjective Awards”, Warwick Business School.

 

2/2017                        “Predicting and Understanding Consumer Behaviour”, Keynote, Microsoft Tech Days.

 

11/2016                      “Predicting and Understanding Human Behaviour”, keynote address at Big Data Analytics, London.

 

11/2016                      “Tuning Conceptual Knowledge through Hippocampal-Prefrontal Interactions”, University of Glasgow.

 

8/2016                        “Coherency Maximizing Exploration in the Supermarket”, Invited Symposium organised by Dan Bartels, Int. Conference on Thinking.

 

6/2016                        “Psychology meets Big Data in the Supermarket”, Knowledge Exchange Event, British Museum.

 

3/2016                        “People's Inductive Biases in Learning and Decision Making”, Keynote at Visual Analytics event at the Alan Turing Institute.

 

3/2016                        “The Categorising Brain”, University of Edinburgh.

 

3/2016                        “The Categorising Brain”, University of Sussex.

 

11/2015                      Food Matters Live.

 

10/2015                      “Optimal Teaching to Infer the Nature of the Human Learner and Knowledge Organisation”, Conference on Complex Systems.

 

8/2015                        Ogilvy Change Summer School.

 

5/2015                        “Do People and Intelligent Machines Make Decisions in the Same Way?” Pint of Science, London.

 

5/2015                        “Apparent attentional limits during learning as limits in memory retrieval”, Workshop on Memory Processes in Judgment and Decision Making, hosted by University of Basel.

 

4/2015                        “Do we make food choices rationally?” write-up in Lancet: http://t.co/rTrFo87FnJ, Edinburgh International Science Festival.

 

3/2015                        “Decoding the Brain's Algorithm for Categorisation from its Neural Implementation”, University of Plymouth.

 

1/2015                        “Decoding the Brain's Algorithm for Categorisation from its Neural Implementation”, Institute of Psychiatry, King's College London

 

1/2015                        “Decoding the Brain's Algorithm for Categorisation from its Neural Implementation”, 2015 EPS semantics symposium.

 

9/2014                        “Decoding the Brain's Algorithm for Categorisation from its Neural Implementation”, NYU.

 

5/2014                        “Exploration and Exploitation: Converging Computational, Physiological, Psychiatric, Genetic, and Consumer-Choice Perspectives”, University of Bristol.

 

9/2014                        “Decoding the Brain's Algorithm for Categorisation from its Neural Implementation,” NYU.

 

5/2014                        “Exploration and Exploitation: Converging Computational, Physiological, Psychiatric, Genetic, and Consumer-Choice Perspectives,” University of Bristol.

 

3/2014                        “Decoding the Brain's Algorithm for Categorisation from its Neural Implementation,” University of Lueven.

 

2/2014                        Limits in decision making arise from limits in memory retrieval,” University of Basel.

 

2/2014                        “Gaming as a Convergence Point of Cognitive Science Theory and Practice,” HULT International Business School, London.

 

1/2014                        “Decoding the Brain's Algorithm for Categorisation from its Neural Implementation”, MRC-Cognition and Brain sciences Unit at Cambridge University.

 

11/2013                      “Improving Cognitive Function Through Gaming”, Decision-making in neurological rehabilitation Inaugural Symposium, Centre for Neurorehabilitation @UCLP.

 

8/2013                        “Limits in Decision Making Reflect Limits in Memory Retrieval”, dunnhumby Corportation, London, UK.

 

6/2013                        AECT International Conference on the Frontier in e-Learning Research, Taipei, Taiwan.

 

5/2013                        “Limits in Decision Making Reflect Limits in Memory Retrieval”, Workshop on Integrating Approaches to Computational Cognition, Sponsored by the National Science Foundation, Arlington, VA, USA.

 

3/2013                        “Limits in Decision Making Reflect Limits in Memory Literature”, Computational Models of Cognition Workshop, Birkbeck.

 

2/2013                        “Limits in Decision Making Reflect Limits in Memory Literature”, London JDM group.

 

2/2013                        “Linking Brain, Behaviour, and Computation in Category Learning”, City University London

 

11/2012                      “Cognitive Psychology in Service of Retail”, dunnhumby corporation, London, UK.

 

9/2012                        “Linking Brain, Behaviour, and Computation in Category Learning”, Center for Cognitive Neuroscience. University of Pennsylvania.

 

8/2012                        Talks at National Taiwan University of Science and Technology (NTUST), Taipei, Taiwan, and National Central University (NCU), Jhongli City, Taiwan.

 

8/2012                        Invited symposium, “Thirty years of Marr's Vision: Levels of Analysis in Cognitive Science “, Annual Meeting of the Cognitive Science Society, Sapporo, Japan.                         

 

6/2012                        “Boosting Executive Function through Video Game Training”, Cognitive Control and Associative Learning workshop, Exeter, UK.

 

4/2012                        “Linking Brain, Behaviour, and Computation in Category Learning”, Swansea University.

 

3/2012                        “Linking Brain, Behaviour, and Computation in Category Learning”, Wellcome Functional Imaging Laboratory, UCL.

 

3/2012                        “Linking Brain, Behaviour, and Computation in Category Learning”, University of Oxford.

 

3/2012                        “Linking Brain, Behaviour, and Computation in Category Learning”, University of Warwick.

 

2/2012                       “Linking Brain, Behaviour, and Computation in Category Learning”, Birkbeck, University of London.

 

12/2011                      “Learning the exception to the rule,” Department of Linguistics, University of Texas at Austin

 

4/2011                        Panellist, “Sustainable Design Symposium 2011,” hosted by Kate Catterall.

 

2/2011                        “The Memory and Attention Interface,” Brown University.

 

2/2011                        “Attention as a Consequence of Dynamic Decision Making,” UNSW.

 

1/2011                        “Attention as a Consequence of Dynamic Decision Making,” UCL.

 

11/2010                      “Looking to Learn, Learning to Look: Attention Emerges from Cost Sensitive Information Sampling”, Workshop on Persistent & Generative Cognitive Models, funded and hosted by Air Force Research Laboratory (Mesa, AZ).

 

5/2010                        “When Short- and Long-Term Rewards Conflict,” Cognitive Science Program, Simon Fraser University.

 

3/2010                        “Putting the Pieces Together: Contributions and Interactions of Various Learning Systems,” University of Iowa.

 

10/2009                      “The Bayesian Program as Progeny of Evolutionary Psychology and Behaviorism,” CDS Pre-Conference talk, sponsored by the DELTA center and organized by John Spencer.

 

8/2009                        “The not so abstract nature of concepts, rules, and grammar,” address to Max Planck Institute for Psycholinguistics (Nijmegen, NL).

 

8/2009                        “Connectionist Perspectives on the Development of Category Learning Abilities,” development and modelling symposium organized by Maartje Raijmakers, Amsterdam, The Netherlands.

 

11/2008                      “Category Learning by Clustering with Extension to Dynamic Environments,” AFOSR Cognition & Decision Program Workshop, Washington, D.C. Hosted by Jun Zhang.

 

8/2008                        “Where do we get new research ideas?” Connecting probabilistic models of cognition and neural networks workshop, Hosted by Tom Griffiths and Jay McClelland, Berkeley, CA.

 

6/2008                        “The Role of Initial Conditions in Concept Organization,” Concept Modelling Workshop, University of Lueven, Belgium.

 

5/2008                        “Using Mechanistic (non-rational) Models of Learning to Link Behavior, Brain, and Body,” Keynote, Perceptual Expertise Network (PEN) Workshop XVI in Banff, Canada.

 

5/2008                        “Using Mechanistic (non-rational) Models of Learning to Link Behavior, Brain, and Body,” Department of Psychology, Ohio State.

           

12/2007                      “Anticipating Information Needs: Adaptive Display in Dynamic Environments,” Sustaining Performance Under Stress Symposium, Center for Strategic and Innovative Technologies, Austin, TX.

 

9/2007                        “Human Inference Mechanisms,” Cowles Foundation for Research in Economics, Yale University, workshop on "Analogies, Rules, and Probabilities."

 

3/2007                        “Learning by Example with Extension to Dynamic Environments,” AFOSR Cognition & Decision Program Workshop, Washington, D.C.

 

2/2007                        “The Emergence of Multiple Learning Systems,” University of Arizona.

 

2/2007                        “Putting the Psychology Back Into Psychological Models,” AFOSR sponsored workshop in Dynamic Decision Making, Dayton, OH.

 

11/2006                      “The Emergence of Multiple Learning Systems,” University of Louisiana.

 

7/2006                        “The Emergence of Multiple Learning Systems,” ICOM, Sydney, Australia.

 

7/2006                        “Models in Search of a Brain,” workshop, Margaret River, Australia.

 

6/2006                        “The Emergence of Multiple Learning Systems,” UWA, Australia.

 

4/2006                        “The Emergence of Multiple Learning Systems,” AFOSR Cognition & Decision Program Workshop, Dayton, OH.

 

4/2006                        “The Emergence of Multiple Learning Systems,” APA Convention Invited Division 3 speaker, New Orleans, LA.

 

10/2005                      Speaker/Symposium Organizer, “The Cognitive Neuroscience of Category Learning,” at the Computational Cognitive Neuroscience Conference, Washington, D.C.

 

9/2005                        “Acquiring Knowledge One Cluster at a Time,” Department of Psychology, New York University, NYC.

 

7/2005                        “Exemplar-based relational category learning,” Annual Summer Interdisciplinary Conference (ASIC) 2005, Brianćon, France.

 

6/2005                        Workshop Participant, NSF sponsored “Dynamical and Connectionist Accounts of Development,” University of Iowa, organized by John Spencer and Jay McClelland.

 

5/2005                        “A Clustering Account of Human Categorization,” Department of Psychology, University of Sydney, Australia.

 

4/2005                        “Cluster-based Modeling of Human Learning: Joint Influences of Task and Environment,” AFOSR Perception & Cognition Program Workshop, St. Augustine, FL.

 

4/2005                        “Environment and goals jointly direct category acquisition,” Department of Psychology, Texas A&M, College Station, TX.

 

2/2005                        Keynote speaker for Lake Ontario Visionary Establishment Conference.

 

2/2005                        “Beyond common features: The role of roles in determining similarity. ” Department of Psychology, The University of Western Ontario.

 

1/2005                        “Clustering Account of Human Learning” Department of Psychology, Stanford University.

 

1/2005                        “Clustering Account of Human Learning” Department of Psychology, UCSD.

 

10/2004                      Bridging Levels: A Cognitive Model of Hippocampal Mediated Learning,” J. S. McDonnell Foundation meeting on the cognitive neuroscience of category learning, New York City, NY.

 

9/2004                        “Bridging Levels: A Cognitive Model of Hippocampal Mediated Learning” Department of Communication Sciences and Disorders, The University of Texas at Austin.

 

6/2004                        “Infants, amnesiacs, aging, and the MTL,” Annual Summer Interdisciplinary Conference (ASIC) 2004, Dolomiti, Italy.

 

3/2004                        “A Clustering Account of Human Learning,” AFOSR Perception & Cognition Program Workshop, Phoenix, AZ.

 

2/2004                        “Human Learning, Memory, and the Categories in and Imposed on Our World,” UT Odyssey lecture, Austin, TX.

 

1/2004                        “A Clustering Account of Human Category Learning,” Caltech, Computation and Neural Systems, Pasadena, CA.

 

11/2003                      “Infants, Amnesiacs, and the MTL,” ARMADILLO, Texas A&M, College Station, TX.

 

9/2003                        “Category Learning in Infants and Amnesiacs,” J. S. McDonnell Foundation meeting on the cognitive neuroscience of category learning, New York City, NY.

 

6/2003                        “The influence of culture on conceptual organization,” talk given at a conference to honour Douglas Medin, Chicago Botanical Gardens, Chicago, IL.

 

9/2002                        “Two systems or just one,” J. S. McDonnell Foundation meeting on the cognitive neuroscience of category learning, New York City, NY.

 

8/2002                        Invited Discussant, AMBR symposium at the Cognitive Science Society Conference, Washington, D.C.

 

11/2001                      “Aging effects in category learning,” Mind, Brain, & Behavior Forum Series, Harvard University, Cambridge, MA.

 

7/2001                        “Inference and classification learning: Data and models,” ICOM-3: Third International Conference on Memory. Valencia, Spain.

 

11/2000                      “Modeling Human Category Learning,” Forum for Artificial Intelligence, Department of Computer Science, The University of Texas at Austin, Austin, TX.

 

10/2000                      “Inference and Classification Learning,” Association for Research in Memory, Attention, Decision-making, Intelligence, Language, Learning& Organization (ARMADILLO), Texas A&M, College Station, TX.

 

2/1999                        “SUSTAIN: A Clustering Account of Category Learning,” Psychology Department, Columbia University, New York City, NY.