Articles in journal or book chapters

1. S. J. Hanson, C. Hanson, Y. O. Halchenko, T. Matsuka, and A. Zaimi. Bottom-up and top-down brain functional connectivity underlying comprehension of everyday visual action.. Brain Struct Funct, 212(3-4):231-44, 2007. Keyword(s): Attention/physiology, Brain/blood supply/*physiology, *Brain Mapping, Comprehension/*physiology, Humans, Image Processing, Computer-Assisted/methods, Magnetic Resonance Imaging, Models, Neurological, Oxygen/blood, Pattern Recognition, Visual/*physiology, Photic Stimulation/methods, Psychomotor Performance/physiology, Time Factors, *Vision. [Abstract] [bibtex-entry]



2. T. Matsuka. Simple, individually unique, and context dependent learning methods for models of human category learning. Behavior Research Methods, 2005. [bibtex-entry]



3. S. J. Hanson, T. Matsuka, and J. V. Haxby. Combinatorial codes in ventral temporal lobe for object recognition: Haxby (2001) revisited: is there a face area?. Neuroimage, 23(1):156-66, 2004. Keyword(s): Adult, Brain Mapping, Discrimination Learning/physiology, Humans, *Image Processing, Computer-Assisted/statistics & numerical data, *Magnetic Resonance Imaging/statistics & numerical data, Mathematical Computing, Nerve Net/physiology, Neural Networks (Computer), Occipital Lobe/physiology, Orientation/physiology, Oxygen Consumption/*physiology, Parahippocampal Gyrus/physiology, Pattern Recognition, Visual/*physiology, Reference Values, Temporal Lobe/*physiology. [Abstract] [bibtex-entry]



4. T. Matsuka. Generalized Exploratory Model of Category Learning. International Journal of Computational Intelligence, 1:7-15, 2004. [bibtex-entry]



5. T. Matsuka and J. E. Corter. Stochastic learning algorithms for modeling human category learning. International Journal of Computational Intelligence, 1:40-48, 2004. [bibtex-entry]

Conference articles

1. A. Chouchourelou, T. Matsuka, C. Hanson, and M. Shiffrar. The perception of emotional bodies. In Annual Meeting of the Cognitive Neuroscience Society, New York City, NY, 2005. Keyword(s): biological motion, emotion. [bibtex-entry]



2. T. Yamauchi, T. Matsuka, C. Hanson, and S. J. Hanson. Neural Correlates of Classification and Inference of Categories. In Human Brain Mapping, Tronto, 2005. [bibtex-entry]



3. J. E. Corter and T. Matsuka. Empirical measures of attention allocation in classification learning: A replication of Medin & Schaffer (1978).. In 45th Annural Meeting of Psychonomics Society, Minneapolis, MN, 2004. [bibtex-entry]



4. S. J. Hanson, T. Matsuka, C. Hanson, D. Rebbechi, Y. O. Halchenko, A. Zaimi, and B. A. Pearlmutter. Structural Equation Modeling of Neuroimaging Data: Exhaustive Search and Markov Chain Monte Carlo. In Human Brain Mapping, 2004. Keyword(s): Modeling, MCMC. [bibtex-entry]



5. S. J. Hanson, T. Matsuka, and J. V. Haxby. Combinatoric Codes in Ventral Medial Temporal Lobes for Objects: Haxby 2001 revisited. In Proceedings of the Annual Meeting of the Cognitive Neuroscience Society, San Francisco, CA, 2004. [bibtex-entry]



6. T. Matsuka. Biased stochastic learning in computational model of category learning. In Proceedings of the Annual Meeting of the Cognitive Science Society, pages 915-920, 2004. [bibtex-entry]



7. T. Matsuka. Comparisons of prototype- and exemplar-based neural network models of categorization using the GECEL framework. In Proceedings of the Annual Meeting of the Cognitive Science Society, pages 909-914, 2004. [bibtex-entry]



8. T. Matsuka. Exploratory approach for modeling human category learning. In Proceedings of the 6th International Conference on Cognitive Modelling, pages 190-195, 2004. [bibtex-entry]



9. T. Matsuka. Interactions between representation and attention processes in category learning. In Annual Meeting of the Cognitive Neuroscience Society, San Francisco, CA, 2004. [bibtex-entry]



10. T. Matsuka and A. Chouchourelou. Survival of the fittest hypothesis: Computational model of category learning based on evolving category concepts by hypothesis testing. In 34th Annual meeting of Society of Computers in Psychology, 2004. [bibtex-entry]



11. T. Matsuka and J. E. Corter. Modeling category learning with stochastic processes. In Proceedings of the 6th International Conference on Cognitive Modelling, pages 196-201, 2004. Lawrence Erlbaum Associates. [bibtex-entry]



12. T. Matsuka, J. E. Corter, and S. J. Hanson. Irresistibly attractive fruitless feature dimensions. In Proceedings of the 6th International Conference on Cognitive Modelling, pages 370-371, 2004. Lawrence Erlbaum Associates. [bibtex-entry]



13. Y. Sakamoto, T. Matsuka, and B. C. Love. Dimension-wide and exempler-speficic attention in category learning and recognition. In Proceedings of the 6th International Conference on Cognitive Modelling, pages 261-266, 2004. [bibtex-entry]



14. T. Matsuka. Visualizing characteristics of test and test items using Self-Organizing Map. In Annual Meeting of the Classification Society of North America, Tallahassee, FL, 2003. [bibtex-entry]



15. T. Matsuka and J. E. Corter. Empirical studies of attention processes in category learning. In Annual Meeting of the Psychonomic Society, Vancouver, Canada, 2003. [bibtex-entry]



16. T. Matsuka and J. E. Corter. Neural network modeling of category learning using Generalized Radial Basis Functions. In Annual Meeting of the Society of Mathematical Psychology, Ogden, UT., 2003. [bibtex-entry]



17. T. Matsuka and J. E. Corter. Stochastic Learning in neural network models of categorization. In Proceedings of the 25th Annual Meeting of the Cognitive Science Society, Boston, MA, 2003. [bibtex-entry]

Miscellaneous

1. T. Matsuka. Modeling human learning as context dependent knowledge utility optimization, 2005. Note: Under review. [bibtex-entry]



2. T. Matsuka. On the selective attention mechanism of prototype models of categorization, 2005. Note: Under review. [bibtex-entry]



3. T. Matsuka, T. Yamauchi, C. Hanson, and S. J. Hanson. Representing Categorical Knowledge: An fMRI Study, 2005. Note: Under review. [bibtex-entry]



4. K. Tatsuoka, A. Guerrero, J. E. Corter, T. Yamada, T. Matsuka, and C. Tatsuoka. International Comparions of mathematical thinking skills in the TIMSS-R, 2005. Note: Under review. [bibtex-entry]



5. T. Matsuka, J. E. Corter, and A. B. Markman. Attention learning in adaptive network models of categorization, 2003. Note: Under review. [bibtex-entry]

This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All person copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

Les documents contenus dans ces répertoires sont rendus disponibles par les auteurs qui y ont contribué en vue d'assurer la diffusion à temps de travaux savants et techniques sur une base non-commerciale. Les droits de copie et autres droits sont gardés par les auteurs et par les détenteurs du copyright, en dépit du fait qu'ils présentent ici leurs travaux sous forme électronique. Les personnes copiant ces informations doivent adhérer aux termes et contraintes couverts par le copyright de chaque auteur. Ces travaux ne peuvent pas être rendus disponibles ailleurs sans la permission explicite du détenteur du copyright.