Selected Publications
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2013
- Chukoskie, L., Snider, J., Mozer, M. C., Krauzlis, R. J., & Sejnowski, T. J. (2013). Learning where to look: An empirical, computational, and theoretical account of hidden target search performance. Proceedings of the National Academy of Sciences. Accepted for publication.
- Jones, M., Curran, T., Mozer, M. C., & Wilder, M. H. (2013). Sequential effects in response time reveal learning mechanisms and event representations. Psychological Review. Accepted for publication.
- Khajah, M., Lindsey, R., & Mozer, M. C. (2013). Maximizing students' retention via spaced review: Practical guidance from computational models of memory. To appear in Proceedings of the Thirty Fith Annual Conference of the Cognitive Science Society.
- Lindsey, R. V., & Mozer, M. C. (2013). Predicting individual differences in
student learning via collaborative filtering. Submitted for publication.
- Pashler, H., & Mozer, M. C. (2013). When does fading enhance perceptual category learning? Journal of Experimental Psychology: Learning, Memory, and Cognition. Accepted for publication.
- Pashler, H., Kang, S., & Mozer, M. C. (2013). Reviewing erroneous information facilitates memory updating. Cognition. Accepted for publication.
- Wilder, M. H., Jones, M., Ahmed, A., Curran, T., & Mozer, M. C. (2013). The persistent impact of incidental experience. Psychonomic Bulletin and Review. Accepted for publication.
2012
- Doshi, A., Tran, C., Wilder, M., Mozer, M. C., & Trivedi, M. M. (2012). Sequential dependencies in driving. Cognitive Science, 36, 948-963.
- Kang, S. H. K., Lindsey, R. V., Mozer, M. C., & Pashler, H. (2012). Retrieval practice over the long term: Expanding or equal-interval spacing? Submitted for publication.
- Lee, H., Mozer, M. C., Kramer, A. F., & Vecera, S. P. (2012). Object-based control of attention is sensitive to recent experience. Journal of Experimental Psychology: Human Perception and Performance, 38, 314-325.
- Lindsey, R., Polsdofer, E., Mozer, M.C., Kang, S., H., K., & Pashler, H. (2012). Long-term recency is nothing more than ordinary forgetting. Submitted for publication.
- Mozer, M. C., Pashler, H., Lindsey, R. V., & Jones, J. (2012). Efficient training of visual search via attentional highlighting. Submitted for publication.
2011
- Kang, S. H. K., Pashler, H., Cepeda, N. J., Rohrer, D., Carpenter, S. K., & Mozer, M. C. (2011). Does incorrect guessing impair fact learning? Journal of Educational Psychology, 103, 48-59.
- Kinoshita, S., Mozer, M. C., & Forster, K. I. (2011). Dynamic adaptation to history of trial difficulty explains the effect of congruency proportion on masked priming. Journal of Experimental Psychology: General. 140, 622-636.
- Link, B. V., Kos, B., Wager, T. D., & Mozer, M. C. (2011). Past experience influences judgment of pain: Prediction of sequential dependencies. In L. Carlson, C. Hoelscher, & T. F. Shipley (Eds.), Proceedings of the 33d Annual Conference of the Cognitive Science Society (pp. 1248-1253). Austin, TX: Cognitive Science Society.
- Mozer, M. C., Link, B. V., & Pashler, H. (2011). An unsupervised decontamination procedure for improving the reliability of human judgments. In Shawe-Taylor, J., Zemel, R. S., Bartlett, P., Pereira, & Weinberger, K. Q. (Eds.), Advances in Neural Information Processing Systems 24 (pp. 1791-1799). La Jolla, CA: NIPS Foundation.
- Wilder, M. H., Mozer, M. C., & Wickens, C. D. (2011). An integrative, experience-based theory of attentional control. Journal of Vision, 11, 1-30.
2010
- Lindsey, R., Lewis, O., Pashler, H., & Mozer, M. C. (2010). Predicting students' retention of facts from feedback during training. In S. Ohlsson & R. Catrambone (Eds.), Proceedings of the 32nd Annual Conference of the Cognitive Science Society (pp. 2332-2337). Austin, TX: Cognitive Science Society.
- Mozer, M. C., Pashler, H., Wilder, M., Lindsey, R., Jones, M. C., & Jones, M. N. (2010). Decontaminating human judgments to remove sequential dependencies. In J. Lafferty, C. K. I. Williams, J. Shawe-Taylor, R. S. Zemel, & A. Culota (Eds.), Advances in Neural Information Processing Systems 23 (pp. 1705-1713). La Jolla, CA: NIPS Foundation.
- Wilder, M. H., Ahmed, A. A., Mozer, M. C., & Jones, M. (2010). Sequential effects in motor adaptation: The importance of far back trials. Poster presentation at Society For Neuroscience. San Diego, CA, November 15, 2010.
- Wilder, M., Jones, M., & Mozer, M. C. (2010). Sequential effects reflect parallel learning of multiple environmental regularities. In Y. Bengio, D. Schuurmans, J. Lafferty, C.K.I. Williams, & A. Culotta (Eds.), Advances in Neural Information Processing Systems 22 (pp. 2053-2061). La Jolla, CA: NIPS Foundation.
2009
- Cepeda, N. J., Coburn, N., Rohrer, D., Wixted, J. T., Mozer, M. C., & Pashler, H. (2009). Optimizing distributed practice: Theoretical analysis and practical implications. Experimental Psychology, 56, 236-246.
- Jones, M., Mozer, M. C., & Kinoshita, S. (2009). Optimal response initiation: Why recent experience matters. In D. Koller, D. Schuurmans, Y. Bengio, & L. Bottou (Eds.), Advances in Neural Information Processing Systems 21, 785-792.
- Knights, D., Mytkowicz, T., Sweeney, P. F., Mozer, M. C., & Diwan, A. (2009). Blind optimization for exploiting hardware features. In O. de Moor & M. I. Schwartzbach (Eds.), Lecture Notes in Computer Science, v. 5501: Compiler Construction 2009 (pp. 251-265). New York: Springer.
- Lee, H., Mozer, M. C., & Vecera, S. P. (2009). Mechanisms of priming of pop-out: Stored representations or feature-gain modulations? Attention, Perception, & Psychophysics, 71, 1059-1071.
- Lindsey, R., Mozer, M. C., Cepeda, N. J., & Pashler, H. (2009). Optimizing memory retention with cognitive models. In A. Howes, D. Peebles, & R. Cooper (Eds.), Proceedings of the Ninth International Conference on Cognitive Modeling (ICCM). Manchester, UK.
- Mozer, M. C. (2009). Attractor networks. In P. Wilken, A. Cleeremans, & T. Bayne (Eds.), Oxford Companion to Consciousness. Oxford U. Press.
- Mozer, M. C., & Wilder, M. H. (2009). A unified theory of exogenous and endogenous attentional control. In D. Heinke & E. Mavritsaki (Eds.), Computational modeling in behavioral neuroscience: Closing the gap between neurophysiology and behaviour (pp. 245-265). London: Psychology Press.
- Mozer, M. C., Pashler, H., Cepeda, N., Lindsey, R., & Vul, E. (2009). Predicting the optimal spacing of study: A multiscale context model of memory. In Y. Bengio, D. Schuurmans, J. Lafferty, C.K.I. Williams, & A. Culotta (Eds.), Advances in Neural Information Processing Systems 22 (pp. 1321-1329). La Jolla, CA: NIPS Foundation.
- Reynolds, J., & Mozer, M. C. (2009). Temporal dynamics of cognitive control. In D. Koller, D. Schuurmans, Y. Bengio, & L. Bottou (Eds.), Advances in Neural Information Processing Systems 21, 1353-1360.
2008
- Kinoshita, S., Forster, K. I., & Mozer, M. C. (2008). Unconscious cognition isn't that smart: Modulation of masked repetition priming effect in the word naming task. Cognition, 107, 623-649.
- Mozer, M. C., & Baldwin, D. S. (2008). Experience-guided search: A theory of attentional control. In J. Platt, D. Koller, & Y. Singer (Eds.), Advances in Neural Information Processing Systems 20 (pp. 1033-1040). Cambridge, MA: MIT Press
- Mozer, M. C., & Fan, A. (2008). Top-down modulation of neural responses in visual perception: A computational exploration. Natural Computing, 7, 45-55.
- Mozer, M. C., Pashler, H., & Homaei, H. (2008). Optimal predictions in everyday cognition: The wisdom of individuals or crowds? Cognitive Science: A Multidisciplinary Journal, 32, 1133-1147.
2007
- Bohte, S., & Mozer, M. C. (2007). A computational theory of spike-timing dependent plasticity: Achieving robust neural responses via response variability minimization. Neural Computation, 19, 371-403.
- Hochreiter, S., & Mozer, M. C. (2007). Monaural speech separation by support vector machines: Bridging the divide between supervised and unsupervised learning methods. To appear in Blind Signal Separation.
- Mozer, M. C., Jones, M., & Shettel, M. (2007). Context effects in category learning: An investigation of four probabilistic models. Neural Information Processing Systems 19. Cambridge, MA: MIT Press.
- Mozer, M. C., Kinoshita, S., & Shettel, M. (2007). Sequential dependencies offer insight into cognitive control. In W. Gray (Ed.), Integrated Models of Cognitive Systems (pp. 180-193). Oxford University Press.
- Richardson, S., Otte, M., Mozer, M. C., Diwan, A., Sweeney, P., Connors, D., & Lacovara, K. (2007). Discovering the runtime structure of software with probabilistic generative models.
2006
- Baldwin, D., & Mozer, M. C. (2006). Controlling attention with noise: The cue-combination model of visual search. In R. Sun & N. Miyake (Eds.), Proceedings of the Twenty Eighth Annual Conference of the Cognitive Science Society (pp. 42-47). Hillsdale, NJ: Erlbaum Associates.
- Kinoshita, S., & Mozer, M. C. (2006). How lexical decision is affected by recent experience: Symmetric versus asymmetric frequency blocking effects. Memory and Cognition, 34, 726-742.
- Mozer, M. C., Shettel, M., & Vecera, S. P. (2006). Control of visual attention: A rational account. In Y. Weiss, B. Schoelkopf, & J. Platt (Eds.), Neural Information Processing Systems 18 (pp. 923-930). Cambridge, MA: MIT Press.
2005
- Bohte, S., & Mozer, M. C. (2005). Reducing spike train variability: A computational theory of spike-timing dependent plasticity. In L. K. Saul, Y. Weiss, & L. Bottou (Eds.), Advances in Neural Information Processing Systems 17 (pp. 201-208). Cambridge, MA: MIT Press.
- Colagrosso, M. D., & Mozer, M. C. (2005). Theories of access consciousness. In L. K. Saul, Y. Weiss, & L. Bottou (Eds.), Advances in Neural Information Processing Systems 17 (pp. 289-296). Cambridge, MA: MIT Press.
- Hauswirth, M., Diwan, A., Sweeney, P. F., & Mozer, M. C. (2005). Automated vertical profiling. In 20th Annual ACM SIGPLAN Conference on Object-Oriented Programming, Systems, Languages, and Applications (OOPSLA'05).
- Mozer, M. C. (2005). Lessons from an adaptive house. In D. Cook & R. Das (Eds.), Smart environments: Technologies, protocols, and applications (pp. 273-294). Hoboken, NJ: J. Wiley & Sons.
- Mozer, M. C., & Vecera, S. P. (2005). Object- and space-based attention. In L. Itti, G. Rees, & J. Tsotsos (Eds.), The encyclopedia of the neurobiology of attention (pp. 130-134). Elsevier Press.
- Mozer, M. C., Mytkowicz, T., & Zemel, R. S. (2005). Stimulus-specific adaptation of neural responses: Insights from neurophysiology and computational models. Poster presented at the Cognitive Neuroscience Conference. New York City, April 2005.
2004
- Mozer, M. C., Howe, M., & Pashler, H. (2004). Using testing to enhance learning: A comparison of two hypotheses. Proceedings of the Twenty Sixth Annual Conference of the Cognitive Science Society (pp. 975-980). Hillsdale, NJ: Erlbaum Assoccciates.
- Mozer, M. C., Kinoshita, S., & Davis, C. (2004). Control of response initiation: Mechanisms of adaptation to recent experience. Proceedings of the Twenty Sixth Annual Conference of the Cognitive Science Society (pp. 981-986). Hillsdale, NJ: Erlbaum Assoccciates.
- Mozer, M. C., Mytkowicz, T., & Zemel, R. S. (2004). Achieving robust neural representations: An account of repetition suppression. Unpublished manuscript.
2003
- Mozer, M. C., Colagrosso, M. D., & Huber, D. E. (2003). Mechanisms of long-term repetition priming and skill refinement: A probabilistic pathway model. In Proceedings of the Twenty Fifth Annual Conference of the Cognitive Science Society. Hillsdale, NJ: Erlbaum Associates.
- Yan, L., Dodier, R., Mozer, M. C., & Wolniewicz, R. (2003). Optimizing classifier performance via the Wilcoxon-Mann-Whitney statistic. In The Proceedings of the International Conference on Machine Learning (ICML) (pp. 848-855).
2002
- Mozer, M. C. (2002). Frames of reference in unilateral neglect and spatial attention: A computational perspective. Psychological Review, 109, 156-185.
- Mozer, M. C., Colagrosso, M. D., & Huber, D. H. (2002). A rational analysis of cognitive control in a speeded discrimination task. In T. Dietterich, S. Becker, & Ghahramani, Z. (Eds.) Advances in Neural Information Processing Systems XIV (pp. 51-57). Cambridge, MA: MIT Press.
- Mozer, M. C., Dodier, R., Colagrosso, M. D., Guerra-Salcedo, C., & Wolniewicz, R. (2002). Prodding the ROC curve: Constrained optimization of classifier performance. In T. Dietterich, S. Becker, & Z. Ghahramani (Eds.), Advances in neural information processing systems XIV (pp. 1409-1415). Cambridge, MA: MIT Press.
- Pashler, H., Mozer, M. C., & Harris, C. R. (2002). Mating strategies in a Darwinian microworld: Simulating the consequences of female reproductive refractoriness. Adaptive Behavior, 9, 5-15.
- Zemel, R. S., Behrmann, M., Mozer, M. C., & Bavelier, D. (2002). Experience-dependent perceptual grouping and object-based attention.. Journal of Experimental Psychology: Human Perception and Performance, 28, 202-217.
2001
- Grimes, D., & Mozer, M. C. (2001). The interplay of symbolic and subsymbolic processes in anagram problem solving. In T. K. Leen, T. Dietterich, & V. Tresp (Eds.), Advances in Neural Information Processing Systems 13 (pp. 1723). Cambridge, MA: MIT Press.
- Hochreiter, S., & Mozer, M. C. (2001). A discrete probabilistic memory model for discovering dependencies in time. In G. Dorffner, H. Bischof, & K. Hornig (Eds.), Proceedings of the International Conference on Artificial Neural Networks (ICANN). Springer-Verlag.
- Hochreiter, S., & Mozer, M. C. (2001). Beyond maximum likelihood and density estimation: A sample-based criterion for unsupervised learning of complex models. In T. K. Leen, T. Dietterich, & V. Tresp (Eds.), Advances in Neural Information Processing Systems 13 (pp. 535-541). Cambridge, MA: MIT Press.
- Hochreiter, S., & Mozer, M. C. (2001). Monaural separation and classification of mixed signals: A support-vector regression perspective. Proceedings of the Third International Conference on Independent Component Analysis and Blind Signal Separation, San Diego, CA.
- Zemel, R. S., & Mozer, M. C. (2001). Localist attractor networks. Neural Computation, 13, 1045-1064.
2000
- Behrmann, M., Zemel, R. S., Mozer, M. C. (2000). Occlusion, symmetry, and object-based attention: Reply to Saiki (2000). Journal of Experimental Psychology: Human Perception and Performance, 26, 1497-1505.
- Lee, S.-Y., & Mozer, M. C. (2000). Robust recognition of noisy and superimposed patterns via selective attention. In S. A. Solla, T. K. Leen & K.-R. Mueller (Eds.), Advances in Neural Information Processing Systems 12 (pp. 31-37). Cambridge, MA: MIT Press.
- Mozer, M. C., & the Athene Advanced Technology Group. (2000). Prediction and classification. Pittfalls for the unwary.
- Mozer, M. C., Wolniewicz, R., Grimes, D., Johnson, E., & Kaushanksy, H. (2000). Predicting subscriber dissatisfaction and improving retention in the wireless telecommunications industry. IEEE Transactions on Neural Networks, 11, 690-696.
- Sitton, M., Mozer, M. C., & Farah, M. (2000). Superadditive effects of multiple lesions in a connectionist architecture: Implications for the neuropsychology of optic aphasia, Psychological Review, 107, 709-734.
1999
- Alexander, J. A., & Mozer, M. C. (1999). Template-based procedures for neural network interpretation. Neural Networks, 12, 479-498.
- Mozer, M. C. (1999). A principle for unsupervised hierarchical decomposition of visual scenes. In M. S. Kearns, S. A. Solla, & D. Cohn (Eds.), Advances in Neural Information Processing Systems 11 (pp. 52-58). Cambridge, MA: MIT Press.
- Mozer, M. C. (1999). An intelligent environment must be adaptive. IEEE Intelligent Systems and their Applications, 14(2) , 11-13.
- O'Reilly, R. C., Mozer, M. C., Munakata, Y., & Miyake, A. (1999). Discrete representations in working memory: A hypothesis and computational investigations. In Proceedings of the Second International Conference on Cognitive Science (pp. 183-188). Tokyo, Japan: Japanese Cognitive Science Society.
1998
- Behrmann, M., Zemel, R. S., and Mozer, M. C. (1998). Object-based attention and occlusion: Evidence from normal subjects and a computational model. Journal of Experimental Psychology: Human Perception and Performance, 24, 1011-1036.
- Das, S., & Mozer, M. C. (1998). Dynamic on-line clustering and state extraction: An approach to symbolic learning. Neural Networks, 11, 53-64.
- Mozer, M. C. (1998). The neural network house: An environment that adapts to its inhabitants. In M. Coen (Ed.), Proceedings of the American Association for Artificial Intelligence Spring Symposium on Intelligent Environments (pp. 110-114). Menlo, Park, CA: AAAI Press.
- Mozer, M. C., & Miller, D. (1998). Parsing the stream of time: The value of event-based segmentation in a complex, real-world control problem. In C. L. Giles & M. Gori (Eds.), Adaptive processing of temporal sequences and data structures (pp. 370-388). Berlin: Springer Verlag.
- Mozer, M. C., & Sitton, M. (1998). Computational modeling of spatial attention. In H. Pashler (Ed.), Attention (pp. 341-393). London: UCL Press.
1997
- Calder, B., Grunwald, D., Jones, M., Lindsay, D., Martin, J., Mozer, M., & Zorn, B. (1997). Evidence-based static branch prediction using machine learning. ACM Transactions on Programming Languages and Systems, 19, 188-222.
- Mozer, M. C., Halligan, P. W., & Marshall, J. C. (1997). The end of the line for a brain-damaged model of unilateral neglect. Cognitive Neuroscience, 9, 171-190.
- Mozer, M. C., Vidmar, L., & Dodier, R. H. (1997). The Neurothermostat: Predictive optimal control of residential heating systems. In M. C. Mozer, M. I. Jordan, & T. Petsche (Eds.), Advances in Neural Information Processing Systems 9 (pp. 953-959). Cambridge, MA: MIT Press.
1996
1995
- Mathis, D. A., & Mozer, M. C. (1995). On the computational utility of consciousness. In G. Tesauro, D. S. Touretzky, & T. K. Leen (Eds.), Advances in Neural Information Processing Systems 7 (pp. 10-18). Cambridge, MA: MIT Press.
- Mozer, M. C., Dodier, R. H., Anderson, M., Vidmar, L., Cruickshank III, R. F., & Miller, D. (1995). The neural network house: An overview. In L. Niklasson & M. Boden (Eds.), Current trends in connectionism (pp. 371-380). Hillsdale, NJ: Erlbaum.
- Zemel, R. S., Williams, C. K. I., & Mozer, M. C. (1995). Lending direction to neural networks. Neural Networks, 7, 565-579.
1994
- Dodier, R. H., Lukianow, D., Ries, J., & Mozer, M. C. (1994). A comparison of neural net and conventional techniques for lighting control. Applied Mathematics and Computer Science, 4, 447-462.
- Mozer, M. C. (1994). Neural network music composition by prediction: Exploring the benefits of psychophysical constraints and multiscale processing. Connection Science, 6, 247-280. [FOLLOW LINK FOR AUDIO SAMPLES]
1993
- Bonnlander, B. V., & Mozer, M. C. (1993). Metamorphosis networks: An alternative to constructive methods. S. J. Hanson, J. D. Cowan, & C. L. Giles (Eds.), Advances in Neural Information Processing Systems V (pp. 131-138). San Mateo, CA: Morgan Kaufmann Publishers.
- Mozer, M. C. (1993). Neural network architectures for temporal pattern processing. In A. S. Weigend & N. A. Gershenfeld (Eds.), Time series prediction: Forecasting the future and understanding the past (pp. 243-264). Redwood City, CA: Sante Fe Institute Studies in the Sciences of Complexity, Proceedings Volume XVII, Addison-Wesley Publishing.
- Mozer, M. C., & Das, S. (1993). A connectionist symbol manipulator that discovers the structure of context-free languages. In S. J. Hanson, J. D. Cowan, & C. L. Giles (Eds.), Advances in Neural Information Processing Systems V (pp. 863-870). San Mateo, CA: Morgan Kaufmann Publishers.
1992
- McMillan, C., Mozer, M. C., & Smolensky, P. (1992). Rule induction through integrated symbolic and subsymbolic processing. In J. E. Moody, S. J. Hanson, & R. P. Lippmann (Eds.), Advances in neural information processing systems 4 (pp. 969-976). San Mateo, CA: Morgan Kaufmann.
- Mozer, M. C. (1992). Induction of multiscale structure. In J. E. Moody, S. J. Hanson, & R. P. Lippmann (Eds.), Advances in neural information processing systems IV (pp. 275-282). San Mateo, CA: Morgan Kaufmann.
- Mozer, M. C., Zemel, R. S., Behrmann, M., & Williams, C. K. I. (1992). Learning to segment images using dynamic feature binding. Neural Computation, 4, 650-665.
1991
1990
- Mozer, M. C., & Behrmann, M. (1990). On the interaction of selective attention and lexical knowledge: A connectionist account of neglect dyslexia. Journal of Cognitive Neuroscience, 2, 96-123.
- Zemel, R. S., Mozer, M. C., & Hinton G. E. (1990). TRAFFIC: Object recognition using hierarchical reference frame transformations. In D. Touretzky (Ed.), Advances in neural information processing systems II (pp. 266-273). San Mateo, CA: Morgan Kaufmann.
1989
