Stephen José Hanson, SJ Hanson, Stephen J. Hanson, S Hanson
Stephen José Hanson, SJ Hanson, Stephen J. Hanson, S Hanson
Director RUBIC (Rutgers Brain Imaging Center), Professor of Psychology, Cognitive Science Center
Verified email at - Homepage
Cited by
Cited by
Comparing biases for minimal network construction with back-propagation
S Hanson, L Pratt
Advances in neural information processing systems 1, 1988
PyMVPA: A python toolbox for multivariate pattern analysis of fMRI data
M Hanke, YO Halchenko, PB Sederberg, SJ Hanson, JV Haxby, ...
Neuroinformatics 7, 37-53, 2009
Discriminability-based transfer between neural networks
Pratt, Lorien Y and Hanson, SJ
Advances in Neural Information Processing Systems 5, 1993
Six problems for causal inference from fMRI
JD Ramsey, SJ Hanson, C Hanson, YO Halchenko, RA Poldrack, ...
neuroimage 49 (2), 1545-1558, 2010
Combinatorial codes in ventral temporal lobe for object recognition: Haxby (2001) revisited: is there a “face” area?
SJ Hanson, T Matsuka, JV Haxby
Neuroimage 23 (1), 156-166, 2004
Decoding the large-scale structure of brain function by classifying mental states across individuals
RA Poldrack, YO Halchenko, SJ Hanson
Psychological science 20 (11), 1364-1372, 2009
Arousal: its genesis and manifestation as response rate.
PR Killeen, SJ Hanson, SR Osborne
Psychological review 85 (6), 571, 1978
What connectionist models learn: Learning and representation in connectionist networks
SJ Hanson, DJ Burr
Behavioral and Brain Sciences 13 (3), 471-489, 1990
Advancing functional connectivity research from association to causation
AT Reid, DB Headley, RD Mill, R Sanchez-Romero, LQ Uddin, ...
Nature neuroscience 22 (11), 1751-1760, 2019
Nonlinear autoassociation is not equivalent to PCA
N Japkowicz, SJ Hanson, MA Gluck
Neural computation 12 (3), 531-545, 2000
PARSNIP: A connectionist network that learns natural language grammar from exposure to natural language sentences
SJ Hanson, J Kegl
Proceedings of the Eight Annual Meeting of the Cognitive Science Society …, 1987
Conceptual clustering, categorization, and polymorphy
SJ Hanson, M Bauer
Machine Learning 3, 343-372, 1989
Brain reading using full brain support vector machines for object recognition: there is no “face” identification area
SJ Hanson, YO Halchenko
Neural Computation 20 (2), 486-503, 2008
Regulation during challenge: A general model of learned performance under schedule constraint.
SJ Hanson, W Timberlake
Psychological Review 90 (3), 261, 1983
PyMVPA: a unifying approach to the analysis of neuroscientific data
M Hanke, YO Halchenko, PB Sederberg, E Olivetti, I Fründ, JW Rieger, ...
Frontiers in neuroinformatics 3, 337, 2009
Multi-subject search correctly identifies causal connections and most causal directions in the DCM models of the Smith et al. simulation study
JD Ramsey, SJ Hanson, C Glymour
NeuroImage 58 (3), 838-848, 2011
Central place foraging in Rattus norvegicus
PR Killeen, JP Smith, SJ Hanson
Animal Behaviour 29 (1), 64-70, 1981
Interface design and multivariate analysis of UNIX command use
SJ Hanson, RE Kraut, JM Farber
ACM Transactions on Information Systems (TOIS) 2 (1), 42-57, 1984
Multivariate analysis of Drosophila courtship
TA Markow, SJ Hanson
Proceedings of the National Academy of Sciences 78 (1), 430-434, 1981
A stochastic version of the delta rule
SJ Hanson
Physica D: Nonlinear Phenomena 42 (1-3), 265-272, 1990
The system can't perform the operation now. Try again later.
Articles 1–20