CURRICULUM VITAE

BRADLEY C. LOVE

(September, 2009)

 

ADDRESS

 

University                 Department of Psychology

                                    The University of Texas at Austin

                                    1 University Station A8000

                                    Austin, TX 78712

                                    Office: (512) 232-5732

                                    Fax: (512) 471-5935

 

E-mail                         brad_love@mail.utexas.edu

 

Website                      http://love.psy.utexas.edu/~love/

 

EDUCATION

 

1995 – 1999                Ph.D. in Cognitive Psychology

Northwestern University, Evanston, IL

 

1991 – 1995                B.S. Cognitive and Linguistic Sciences

Brown University, Providence, RI

 

EMPLOYMENT

           

2005 –                         Associate (currently up for Full) 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

 

9/2009                        NSF Grant #0927315 ($***,*** over three years, Co-PI), Predicting Disrupted Network Behavior.

 

7/2009                        ARL Grant #W911NF-09-2-0038 ($***,*** over three years), A Computational Learning Approach to Adaptive Information Displays for Enhancing Soldier Performance.

 

4/2009                        NIMH Grant (consultant role for Murray Grossman), Conceptual Processing in Alzheimer's Disease.

 

4/2009                        Laura Holland, a graduate student in my lab, was awarded an NSF graduate fellowship.

 

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

 

2/2008                        Aaron Hoffman, a postdoctoral researcher in my lab, was awarded an NRSA fellowship from NIMH.

 

5/2007                        AFOSR Grant #FA9550-07-1-0178 ($***,*** over three years), Category Learning by Clustering with Extension to Dynamic Environments.

 

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

 

 

6/2004                        AFOSR Grant #FA9550-04-1-0226 ($***,*** over three years), Maximizing the Benefits of Training by Example and Direct Instruction.

 

4/2004                        NSF CAREER Grant #0349101 ($***,*** over five years), Flexible learning inside and outside the classroom.

 

10/2003                      Matt Jones, a postdoctoral researcher sponsored jointly by me and Todd Maddox, had his NRSA training proposal funded with the top rating for the panel.

 

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 honoring Doug Medin.

 

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

 

5/2002                        Levi Larkey, a graduate student working with me, was awarded a three year fellowship through the National Defense Science and Engineering Graduate (NDSEG) fellowship program.

 

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).

 

12/2001                      Liran Elboym, an honors student working in my lab, was awarded a $1000 Undergraduate Research Fellowship to fund our project.

                                   

5/2001                        AFOSR Grant #F49620-01-1-0295 ($***,*** over three years), 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; Artificial Intelligence; Behavioral and Brain Sciences; Behavior Research Methods; Cognition; Cognitive Psychology; Cognitive Science (Editorial Board 2006-2009 ); Current Directions in Psychological Science; Experimental 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; Journal of Memory and Language; Language and Cognitive Processes; Memory & Cognition (Editorial Board 2006-2009; Associate Editor 2009-); Nature; NeuroImage; Perception & Psychophysics; Proceedings of the National Academy of Sciences; Psychological Review; Psychological Science; Psychonomic Bulletin and Review (Editorial Board 2006- ); Trends in Cognitive Sciences; Quarterly Journal of Experimental Psychology; Visual Cognition.

                                   

conferences                 AAAI 2006 (senior program committee member); Cognitive Science Society; FLAIRS; ICCM; 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                          AFOSRs Perception & Cognition Program; Canada Foundation for Innovation; FONDECYT Sicologia (Chile); NASAs Intelligent Systems (Human-Centered Computing); NIMH Cognition, Language, and Perception (Fellowship) panel member (2006-2007); National Science Foundation (Human Cognition and Perception); National Science Foundation Perception, Action, and Cognition panel member (2005-2007); NSERC (Canada); Research Council of Leuven (Belgium); University of Texas at Austin Research Internship (RI) fellowship.

 

other                          Outside evaluator on tenure cases.  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.

 

UNIVERSITY SERVICE

 

                                    Head of the Cognitive Systems Area (7/2007- )

                                   

Organizer of new interdisciplinary teaching and research initiative linking cognitive psychology and artificial intelligence named the Consortium for Cognition and Computation, www.ccc.utexas.edu.

 

Countless Masters and Ph.D. committees.

 

Member of numerous committees.

 

ADVISING

 

Postdoctoral              Gyslain Giguere (2009- )

Aaron Hoffman (2007- )

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

 

Graduate                   Eric Abel (2008- )

Tyler Davis (2005- )

John Dennis (2003-2004)

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

Laura Holland (2008- )

Levi Larkey  (2002-2003, now at LANL)

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

Katherine Snyder (2007-2008 )

Marc Tomlinson (2004- )

Anne Warlaumont (2006-2007)

 

Honors                      Brian Gane (2000-2001)

Liran Elboym (2001-2002)

Megan Sanders (2009- )

 

PUBLICATIONS

 

Peer Reviewed Articles

 

Davis, T., & Love, B.C. (in press). Memory for Category Information is Idealized through Contrast with Competing Options. Psychological Science.

 

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

 

Gureckis, T. M., & Love, B. C. (in press). Short Term Gains, Long Term Pains: Reinforcement Learning in Dynamic Environments. Cognition.

 

Gureckis, T. M., & Love, B. C. (in press). Direct Associations or Internal Transformations? Exploring the Mechanisms Underlying Sequential Learning Behavior. Cognitive Science.

 

 

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

 

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., & Tomlinson, M. (in press). Rule-based vs. similarity-based concept learning.  In Denis Mareschal, Paul Quinn, Stephen Lea (Eds.), The Emergence of Uniquely Human Concepts?

 

Love, B.C. (invited encyclopedia entry). Category Learning, Computational Perspectives. In Hal Pashler, Encyclopedia of the Mind.

 

Love, B.C. (invited encyclopedia entry). Bayesian Learning. In Norbert Seel, Encyclopedia of the Sciences of Learning.

 

 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.

 

INVITED TALKS (not submitted conference papers)

 

10/2009                      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 modeling 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 Modeling 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, Brianon, 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 honor 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.