2005

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. C. Hanson and S. J. Hanson. Neural Correlates of Explicit and Implicit Processing. In Annual Meeting of the Organization for Human Brain Mapping, Toronto, Canada, 2005. [bibtex-entry]



3. 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]

2004

1. B. M. Bly, F. G. Hillary, D. Rebbechi, R. Preciado, H. Giangrante, B. Rypma, and J. DeLuca. Analyzing fMRI data in patients with diffuse brain abnormalities. In Proceedings of the Annual Meeting of the Cognitive Neuroscience Society, San Francisco, CA, 2004. [bibtex-entry]



2. 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]



3. Y. O. Halchenko, S. J. Hanson, and B. A. Pearlmutter. Fusion of Functional Brain Imaging Modalities using L-Norms Signal Reconstruction. In Proceedings of the Annual Meeting of the Cognitive Neuroscience Society, San Francisco, CA, 2004. Keyword(s): EEG, fMRI, fusion. [bibtex-entry]



4. C. Hanson, S. J. Hanson, and T. Schweighardt. Neural Correlates of Integral and Separable Processing During Category Learning. In Proceedings of the Annual Meeting of the Cognitive Neuroscience Society, San Francisco, CA, 2004. [bibtex-entry]



5. 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]



6. 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]



7. F. G. Hillary, B. M. Bly, R. Preciado, D. Rebbechi, H. M. Genova, B. Rypma, and J. DeLuca. Combining fMRI data in cases of diffuse and focal brain abnormality. In Proceedings of the Annual Meeting of the Cognitive Neuroscience Society, San Francisco, CA, 2004. [bibtex-entry]



8. 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]



9. 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]



10. 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]



11. 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]



12. 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]



13. 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]



14. 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]



15. 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]



16. A. Zaimi, C. Hanson, and S. J. Hanson. Event Perception of Schema-Rich and Schema-Poor Video Sequences During fMRI Scanning: Top Down Versus Bottom Up Processing. In Proceedings of the Annual Meeting of the Cognitive Neuroscience Society, San Francisco, CA, 2004. [bibtex-entry]

2003

1. 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]



2. 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]



3. 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]



4. 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]

2001

1. M. Negishi and S. J. Hanson. A study of grammar transfer effects in a second order recurrent network. In Proceedings of International Joint Conference on Neural Networks, volume 1, pages 326-330, 2001. [bibtex-entry]



2. M. Negishi, S. J. Hanson, and B. M. Bly. A Stationarity analysis of the fMRI Imaging time series from motor and auditory tasks. In Cognitive Neuroscience Conference, NYC, 2001. [bibtex-entry]

2000

1. M. D. Patterson and B. M. Bly. Cognitive, neurobiological, and evolutionary links between language and memory. In 3rd International Conference on the Evolution of Language, Paris, France, 2000. [bibtex-entry]



2. L. I. Timchenko, Y. F. Kutaev, A. A. Gertsiy, Y. O. Halchenko, L. V. Zahoruiko, and T. Mansur. Method for image coordinate definition on extended laser paths. In S. B. Gurevich, Z. T. Nazarchuk, and L. I. Muravsky, editors, , volume 4148, pages 19-26, 2000. SPIE. [bibtex-entry]

1999

1. B. M. Bly. Latent Structure Analysis and bootstrapping as an alternative to parametric mapping. In 13th conference on Neural Information Processing Systems, Denver, CO, 1999. [Annotation] [bibtex-entry]



2. R. Murthy, B. M. Bly, J. Deutsch, G. Lange, and S. J. Hanson. Human Brain Mapping with ARIMA models. In Proceedings of the Annual Meeting of the Organization for Human Brain Mapping, 1999. [bibtex-entry]



3. L. I. Timchenko, A. A. Gertsiy, L. V. Zahoruiko, Y. F. Kutaev, and Y. O. Halchenko. Pre-processing of extended laser path images. In Industrial Lasers and Inspection: Diagnostic Imaging Technologies and Industrial Applications, Munich, Germany, June 1999. EOS/SPIE International Symposium. Note: [3827-26]. [bibtex-entry]



4. L. I. Timchenko, Y. F. Kutaev, A. A. Gertsiy, L. V. Zahoruiko, Y. O. Halchenko, and T. Mansur. Approach to parallel-hierarchical network learning for real-time image sequence recognition. In J. W. V. Miller, S. S. Solomon, and B. G. Batchelor, editors, , volume 3836, pages 71-81, 1999. SPIE. [bibtex-entry]

1998

1. R. Murthy, B. M. Bly, J. Deutsch, and S. J. Hanson. Identification of fMRI Waveforms. In Proceedings of the Annual Meeting of the Cognitive Neuroscience Society, 1998. [bibtex-entry]

1996

1. L. I. Tymchenko, J. Scorukova, J. Kutaev, S. Markov, T. Martynuk, and Y. O. Halchenko. Method Spatial Connected Segmentation of Images. In The Third All-Ukrainian International Conference Ukrobraz, Kijiv, Ukraine, November 1996. Note: In Ukrainian. [bibtex-entry]

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