Stephen Jose Hanson, Ph.D.

Affiliations: 
Psychology, RUBIC Rutgers University, New Brunswick, New Brunswick, NJ, United States 
Area:
Cognitive Neuroscience, Computational Neuroimaging
Website:
http://psychology.rutgers.edu/~jose/
Google:
"Stephen J. Hanson"
Mean distance: 16.23 (cluster 29)
 
SNBCP
Cross-listing: PsychTree

Collaborators

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Michael Hanke collaborator Dartmouth
Catherine Hanson collaborator Rutgers, Newark
Carl R. Olson collaborator Princeton
 (Connectionist Modeling and Brain Function)
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Publications

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Mills-Finnerty C, Hanson C, Khadr M, et al. (2020) Computations and connectivity underlying aversive counterfactuals. Brain Connectivity
Reid AT, Headley DB, Mill RD, et al. (2019) Advancing functional connectivity research from association to causation. Nature Neuroscience
Hanson C, Caglar LR, Hanson SJ. (2018) Attentional Bias in Human Category Learning: The Case of Deep Learning. Frontiers in Psychology. 9: 374
Mastrovito D, Hanson C, Hanson SJ. (2018) Differences in atypical resting-state effective connectivity distinguish autism from schizophrenia. Neuroimage. Clinical. 18: 367-376
Çağlar LR, Hanson SJ. (2017) Back to the future: The return of cognitive functionalism. The Behavioral and Brain Sciences. 40: e257
Ray S, Biswal BB, Aya A, et al. (2017) Modeling Causal Relationships among Brain Areas in the Mesocorticolimbic System during Resting-State in Cocaine Users Utilizing a Graph Theoretic Approach. Journal of Alcoholism and Drug Dependence. 5
Ray S, Haney M, Hanson C, et al. (2015) Modeling Causal Relationship Between Brain Regions Within the Drug-Cue Processing Network in Chronic Cocaine Smokers. Neuropsychopharmacology : Official Publication of the American College of Neuropsychopharmacology
Mills-Finnerty C, Hanson C, Hanson SJ. (2014) Brain network response underlying decisions about abstract reinforcers. Neuroimage. 103: 48-54
Boukrina O, Hanson SJ, Hanson C. (2014) Modeling activation and effective connectivity of VWFA in same script bilinguals. Human Brain Mapping. 35: 2543-60
Barbu A, Barrett DP, Chen W, et al. (2014) Seeing is worse than believing: Reading people's minds better than computer-vision methods recognize actions Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8693: 612-627
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