2008

1. Michael Hanke, Yaroslav O. Halchenko, Per B. Sederberg, Stephen José Hanson, James V. Haxby, and Stefan Pollmann. PyMVPA: A Python toolbox for multivariate pattern analysis of fMRI data. In review, 2008. [Abstract] [bibtex-entry]



2. S. J. Hanson and Y. O. Halchenko. Brain reading using full brain Support Vector Machines for object recognition: There is no face identification area. Neural Computation, 20(2):486-503, February 2008. [bibtex-entry]

2007

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. S. J. Hanson, D. Rebbechi, C. Hanson, and Y. O. Halchenko. Dense mode clustering in brain maps.. Magn Reson Imaging, 25(9):1249-62, 2007. [Abstract] [bibtex-entry]

2005

1. C. Hanson and S. J. Hanson. Handbook on Categorization in Cognitive Science, chapter Knowing this from that: Brain response to objects and events. Elsevier, 2005. Note: In Press. Keyword(s): EEG, fMRI, categorization. [Abstract] [bibtex-entry]



2. Yaroslav O. Halchenko, Stephen José Hanson, and Barak A. Pearlmutter. Multimodal Integration: fMRI, MRI, EEG, and MEG. In Luigi Landini, Vincenzo Positano, and Maria Filomena Santarelli, editors, Advanced Image Processing in Magnetic Resonance Imaging, Signal Processing and Communications, chapter 8, pages 223-265. Dekker, . Keyword(s): EEG, MEG, fMRI, MRI, multimodal analysis, fusion. [Abstract] [bibtex-entry]



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

2004

1. 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]



2. Y. O. Halchenko, B. A. Pearlmutter, S. J. Hanson, and A. Zaimi. Fusion of functional brain imaging modalities via linear programming. Biomedizinische Technik (Biomedical Engineering), 48(2):102-104, 2004. Keyword(s): EEG, fMRI, fusion. [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]

2001

1. S. J. Hanson, M. Negishi, and C. Hanson. Emergent Neural Computational Architectures Based on Neuroscience, chapter Connectionist Neuroimaging. Springer-Verlag, 2001. Keyword(s): neural net, connectionism. [Abstract] [bibtex-entry]



2. B. M. Bly, D. Rebbechi, G. Grasso, and S. J. Hanson. A Peer-to-Peer database for Brain imaging Data. Neuroimage, 13(6), 2001. [Annotation] [bibtex-entry]



3. B. M. Bly, D. Rebbechi, G. Grasso, J. Steffener, and S. J. Hanson. A Framework for Software Interoperability in Brain Imaging Data Analysis. Neuroimage, 13(6), 2001. [Annotation] [bibtex-entry]



4. 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]

1999

1. S. J. Hanson. Arbib's The Metaphorical Brain-2: The Sequel?. Artificial Intelligence, pp 5, 1999. [bibtex-entry]

1998

1. L. I. Tymchenko, J. Scorukova, S. Markov, and Y. O. Halchenko. Image Segmentation on the basis of spatial connected features. In Visnyk VSTU, volume 4, pages 39-43. VSTU University Press, Vinnytsya, Ukraine, 1998. Note: In Ukrainian. [bibtex-entry]

1997

1. T. B. Martinyuk, A. V. Kogemiako, and Y. O. Halchenko. The model of associative processor for numerical data sorting. In Visnyk VSTU, volume 2, pages 19-23. VSTU University Press, Vinnytsya, Ukraine, 1997. Note: In Ukrainian. [bibtex-entry]

1996

1. C. Hanson and S. J. Hanson. Development of Schemata During Event Parsing: Neisser's Perceptual Cycle as a Recurrent Connectionist Network. Journal of Cognitive Neuroscience, 1996. [bibtex-entry]

1995

1. D. S. Woodruff-Pak and C. Hanson. Compensating for Psychological Deficits and Declines, chapter Plasticity and Compensation in Brain Memory Systems in Aging. Erlbaum, 1995. Keyword(s): neuroscience, attention, plasticity. [bibtex-entry]

1994

1. S. J. Hanson, T. Petsche, M. Kearns, and R. Rivest. Computational Learning Theory and Natural Learning Systems. MIT Press, 2:447, 1994. [bibtex-entry]

1991

1. C. Hanson and W. Hirst. Recognizing differences in recognition tasks: A reply to Lassiter and Slaw. J Exp Psychol Gen, 120(2):211-212, 1991. [bibtex-entry]

1990

1. S. J. Hanson. A Stochastic Version of the Delta Rule. PHYSICA D, 42:265-272, 1990. [bibtex-entry]



2. S. J. Hanson and D. J. Burr. What Connectionist Models Learn: Toward a theory of representation in Connectionist Networks. Behavioral and Brain Sciences, 13:471-518, 1990. [bibtex-entry]



3. S. J. Hanson and C. Olson. Connectionist Modeling and Brain Function: The Developing Interface. MIT Press, pp 396, 1990. [bibtex-entry]

1989

1. 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]

1988

1. 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]

1983

1. S. J. Hanson and W. Timberlake. Regulation during challenge: a general model of learned performance under env ironmental constraint. Psychological Review, 90(3):261-282, 1983. [bibtex-entry]

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