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. B. M. Bly, D. Rebbechi, S. J. Hanson, and G. Grasso. The RUMBA software: tools for neuroimaging data analysis. Neuroinformatics, 2(1):71-100, 2004. Keyword(s): *Algorithms, Animals, Brain Mapping/*methods, Human, Image Processing, Computer-Assisted/*methods, Magnetic Resonance Imaging/*methods, Programming Languages, Reproducibility of Results, Signal Processing, Computer-Assisted, Software/*standards/trends, Software Validation, Support, Non-U.S. Gov't, User-Computer Interface. [Abstract] [bibtex-entry]



4. 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]



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]



6. S. J. Hanson and B. M. Bly. The distribution of BOLD susceptibility effects in the brain is non-Gaussian. Neuroreport, 12(9):1971-7, 2001. Keyword(s): Brain/*metabolism/*physiology, Brain Mapping/methods, Cerebrovascular Circulation/*physiology, Human, Magnetic Resonance Imaging/methods, Models, Neurological, Normal Distribution, Oxygen/*blood, Support, Non-U.S. Gov't. [Abstract] [bibtex-entry]



7. C. Hanson and W. Hirst. On the representation of events: a study of orientation, recall, and recognition. J Exp Psychol Gen, 118(2):136-147, 1989. Keyword(s): Adult, Humans, *Memory, *Mental Recall, *Orientation. [Abstract] [bibtex-entry]



8. C. Hanson and W. Hirst. Frequency encoding of token and type information. J Exp Psychol Learn Mem Cogn, 14(2):289-297, 1988. Keyword(s): *Attention, *Concept Formation, Humans, *Memory, *Mental Recall. [bibtex-entry]

Conference articles

1. 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]



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]

Miscellaneous

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

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