Stephen Jose Hanson, Ph.D.
Affiliations: | Psychology, RUBIC | Rutgers University, New Brunswick, New Brunswick, NJ, United States |
Area:
Cognitive Neuroscience, Computational NeuroimagingWebsite:
http://psychology.rutgers.edu/~jose/Google:
"Stephen J. Hanson"Mean distance: 16.23 (cluster 29) | S | N | B | C | P |
Cross-listing: PsychTree
Children
Sign in to add trainee| Vivek Yadav | research assistant | 2019-2021 | Rutgers University -- Newark |
| Leyla Roksan Caglar | grad student | Rutgers, Newark | |
| Dana Mastrovito | grad student | Rutgers University, Newark and New Brunswick | |
| Colleen E. Mills-Finnerty | grad student | Rutgers, New Brunswick | |
| Alessandro D. Gagliardi | grad student | 2006- | Rutgers, Newark |
| Adi Zaimi | grad student | 2005 | Rutgers, Newark |
| Anna Manelis | grad student | 2009 | Rutgers, Newark |
| Yaroslav O. Halchenko | grad student | 2002-2009 | NJIT |
| Arielle Schmidt | grad student | 2006-2010 | Rutgers, New Brunswick |
Collaborators
Sign in to add collaborator| Michael Hanke | collaborator | Dartmouth | ||
| Catherine Hanson | collaborator | Rutgers, Newark | ||
| Carl R. Olson | collaborator | Princeton | ||
| (Connectionist Modeling and Brain Function) | ||||
BETA: Related publications
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Publications
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| Hanson SJ, Yadav V, Hanson C. (2024) Dense Sample Deep Learning. Neural Computation. 36: 1228-1244 |
| Gee DG, Hanson C, Caglar LR, et al. (2022) Experimental evidence for a child-to-adolescent switch in human amygdala-prefrontal cortex communication: A cross-sectional pilot study. Developmental Science. e13238 |
| Mills-Finnerty C, Hanson C, Khadr M, et al. (2020) Computations and connectivity underlying aversive counterfactuals. Brain Connectivity |
| Frazier-Logue N, Hanson SJ. (2020) The Stochastic Delta Rule: Faster and More Accurate Deep Learning through Adaptive Weight Noise. Neural Computation. 1-15 |
| 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 |