Stephen José Hanson 
Professor I
 

Rutgers University, Psychology Dept.
101 Warren Street, Newark, NJ 07102
Smith Hall Room 324
phone: (973) 353-5440 x 221
fax:     (973) 353-1171
email:  jose@psychology.rutgers.edu

Research Interests Cognitive Science, Cognitive Neuroscience, and Computational Neuroimaging. My research focus is on learning, categorization, connectionist models, neural networks, and more generally cognitive and perceptual modeling. computational modeling.
 
Steve gives a tutorial on fMRI at Google Dec 20th 2006

Selected Publications:
Hanson, S.J, and Halchenko, Y. Brain Reading Using Full Brain Support Vector Machines for Object Recognition: There is no face identification area.(2007) Neural Computation. PDF
Hanson,S.J., Hanson, C., Halchenko, Y.,Matsuka, T. & Zaimi, A. Bottom-Up and Top-Down Brain Functional Connectivity Underlying Comprehension of Everyday Visual Action (2007) Brain Structure and Function. PDF
Hanson, S. J., Rebecchi, D., Halchenko,Y. & Hanson, C. Dense Mode Clustering in Brain Maps, (2007) Magn. Res. Imaging. PDF
Hanson, S.J, Matsuka, T., and Haxby, J.V. (2004). Combinatoric Codes in Ventral Medial Temporal Lobes for Objects: Is There a Face Area?. Neuroimage. PDF
Halchenko, Y.O., Hanson, S.J., and Pearlmutter, B.A. (2004). Fusion of Functional Brain Imaging Modalities using L-Norms Signal Reconstruction. Annual Meeting of the Cognitive Neuroscience Society, San Francisco, CA
Hanson, C., Hanson, S.J., and Schweighardt, T. (2004). Neural Correlates of Integral and Separable Processing During Category Learning. Annual Meeting of the Cognitive Neuroscience Society, San Francisco, CA
The Distribution of BOLD Susceptibility effects in the Brain is Non-Gaussian. Hanson, S.J. & Martin Bly, B. Neuroreport (2001). PDF
Hanson, S. J., Petsche, T., Kearns, M. & Rivest, R. (1994), Computational Learning Theory and Natural Learning Systems, Vol 2, MIT Press, Bradford, 447pp.
Hanson S. J., Olson, C., (1990), Connectionist Modeling and Bran Function: The Developing Interface. MIT Press/Bradford, 396pp.
Hanson, S. J. (1999), Arbib's The Metaphorical Brain-2: The Sequel?, Artificial Intelligence Journal.
Hanson, S. J.(1999), Connectionist Neuroscience. In Rutgers Invitation to Cognitive Science, E. Lepore, Z. Pylyshyn, BlackWells.
Hanson, S. J., (1995), Some comments and variations on Back-propagation. In The Handbook of Back-propagation, Y. Chauvin & D. Rummelhart (Eds.), New Jersey: Erlbaum, pp. 292-323.
Hanson, C. & Hanson S. J. (1996), Development of Schemata During Event Parsing: Neisser's Perceptual Cycle as a Recurrent Connectionist Network, Journal of Cognitive Neuroscience.
Hanson, S. J.(1990), A Stochastic Version of the Delta Rule, PHYSICA D,42, 265-272.
Hanson S. J. & Burr, D. J., (1990), What Connectionist Models Learn: Toward a theory of representation in Connectionist Networks, Behavioral and Brain Sciences, 13, 471-518.
Hanson, S. J., & Timberlake, W., (1983), Regulation during challenge: a general model of learned performance under environmental constraint. Psychological Review, 90,3, 261-282. hiresPDF loresPDF