Stephen Jose Hanson, Ph.D. - Publications

Psychology, RUBIC Rutgers University, New Brunswick, New Brunswick, NJ, United States 
Cognitive Neuroscience, Computational Neuroimaging

51 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2020 Mills-Finnerty C, Hanson C, Khadr M, Hanson SJ. Computations and connectivity underlying aversive counterfactuals. Brain Connectivity. PMID 32842766 DOI: 10.1089/Brain.2020.0766  1
2019 Reid AT, Headley DB, Mill RD, Sanchez-Romero R, Uddin LQ, Marinazzo D, Lurie DJ, Valdés-Sosa PA, Hanson SJ, Biswal BB, Calhoun V, Poldrack RA, Cole MW. Advancing functional connectivity research from association to causation. Nature Neuroscience. PMID 31611705 DOI: 10.1038/S41593-019-0510-4  0.92
2018 Hanson C, Caglar LR, Hanson SJ. Attentional Bias in Human Category Learning: The Case of Deep Learning. Frontiers in Psychology. 9: 374. PMID 29706907 DOI: 10.3389/Fpsyg.2018.00374  1
2018 Mastrovito D, Hanson C, Hanson SJ. Differences in atypical resting-state effective connectivity distinguish autism from schizophrenia. Neuroimage. Clinical. 18: 367-376. PMID 29487793 DOI: 10.1016/J.Nicl.2018.01.014  1
2017 Çağlar LR, Hanson SJ. Back to the future: The return of cognitive functionalism. The Behavioral and Brain Sciences. 40: e257. PMID 29342686 DOI: 10.1017/S0140525X17000061  0.36
2017 Ray S, Biswal BB, Aya A, Gohel S, Srinagesh A, Hanson C, Hanson SJ. 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. PMID 29034263 DOI: 10.4172/2329-6488.1000279  1
2015 Ray S, Haney M, Hanson C, Biswal B, Hanson SJ. 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. PMID 26038158 DOI: 10.1038/Npp.2015.150  1
2014 Mills-Finnerty C, Hanson C, Hanson SJ. Brain network response underlying decisions about abstract reinforcers. Neuroimage. 103: 48-54. PMID 25234115 DOI: 10.1016/J.Neuroimage.2014.09.019  1
2014 Boukrina O, Hanson SJ, Hanson C. Modeling activation and effective connectivity of VWFA in same script bilinguals. Human Brain Mapping. 35: 2543-60. PMID 24038636 DOI: 10.1002/Hbm.22348  1
2014 Barbu A, Barrett DP, Chen W, Siddharth N, Xiong C, Corso JJ, Fellbaum CD, Hanson C, Hanson SJ, Hélie S, Malaia E, Pearlmutter BA, Siskind JM, Talavage TM, Wilbur RB. 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. DOI: 10.1007/978-3-319-10602-1_40  1
2013 Hanson C, Hanson SJ, Ramsey J, Glymour C. Atypical effective connectivity of social brain networks in individuals with autism. Brain Connectivity. 3: 578-89. PMID 24093627 DOI: 10.1089/Brain.2013.0161  1
2013 Xu C, Doell RF, Hanson SJ, Hanson C, Corso JJ. Are actor and action semantics retained in video supervoxel segmentation? Proceedings - 2013 Ieee 7th International Conference On Semantic Computing, Icsc 2013. 286-293. DOI: 10.1109/ICSC.2013.56  1
2012 Manelis A, Reder LM, Hanson SJ. Dynamic changes in the medial temporal lobe during incidental learning of object-location associations. Cerebral Cortex (New York, N.Y. : 1991). 22: 828-37. PMID 21709179 DOI: 10.1093/Cercor/Bhr151  1
2011 Ramsey JD, Hanson SJ, Glymour C. Multi-subject search correctly identifies causal connections and most causal directions in the DCM models of the Smith et al. simulation study. Neuroimage. 58: 838-48. PMID 21745580 DOI: 10.1016/J.Neuroimage.2011.06.068  1
2011 Manelis A, Hanson C, Hanson SJ. Implicit memory for object locations depends on reactivation of encoding-related brain regions. Human Brain Mapping. 32: 32-50. PMID 21157878 DOI: 10.1002/Hbm.20992  1
2011 Hanson SJ, Schmidt A. High-resolution imaging of the fusiform face area (FFA) using multivariate non-linear classifiers shows diagnosticity for non-face categories. Neuroimage. 54: 1715-34. PMID 20736071 DOI: 10.1016/J.Neuroimage.2010.08.028  1
2010 Ray S, Hanson C, Hanson SJ, Bates ME. fMRI BOLD response in high-risk college students (Part 1): during exposure to alcohol, marijuana, polydrug and emotional picture cues. Alcohol and Alcoholism (Oxford, Oxfordshire). 45: 437-43. PMID 20729530 DOI: 10.1093/Alcalc/Agq042  1
2010 Ray S, Hanson C, Hanson SJ, Rahman RM, Bates ME. fMRI BOLD response of high-risk college students (Part 2): during memory priming of alcohol, marijuana and polydrug picture cues. Alcohol and Alcoholism (Oxford, Oxfordshire). 45: 444-8. PMID 20729527 DOI: 10.1093/Alcalc/Agq043  1
2010 Ramsey JD, Hanson SJ, Hanson C, Halchenko YO, Poldrack RA, Glymour C. Six problems for causal inference from fMRI. Neuroimage. 49: 1545-58. PMID 19747552 DOI: 10.1016/J.Neuroimage.2009.08.065  1
2010 Poldrack RA, Halchenko YO, Hanson SJ. Erratum to: Decoding the large-scale structure of brain function by classifying mental states across individuals, (Psychological science, (2009), 20, 11 (1364-1372), 10.1111/j.1467-9280.2009.02460) Psychological Science. 21. DOI: 10.1177/0956797610373375  1
2009 Poldrack RA, Halchenko YO, Hanson SJ. Decoding the large-scale structure of brain function by classifying mental States across individuals. Psychological Science. 20: 1364-72. PMID 19883493 DOI: 10.1111/J.1467-9280.2009.02460.X  1
2009 Hanke M, Halchenko YO, Sederberg PB, Olivetti E, Fründ I, Rieger JW, Herrmann CS, Haxby JV, Hanson SJ, Pollmann S. PyMVPA: A Unifying Approach to the Analysis of Neuroscientific Data. Frontiers in Neuroinformatics. 3: 3. PMID 19212459 DOI: 10.3389/Neuro.11.003.2009  1
2009 Hanke M, Halchenko YO, Sederberg PB, Hanson SJ, Haxby JV, Pollmann S. PyMVPA: A python toolbox for multivariate pattern analysis of fMRI data. Neuroinformatics. 7: 37-53. PMID 19184561 DOI: 10.1007/S12021-008-9041-Y  1
2009 Hanson SJ, Gagliardi AD, Hanson C. Solving the brain synchrony eigenvalue problem: conservation of temporal dynamics (fMRI) over subjects doing the same task. Journal of Computational Neuroscience. 27: 103-14. PMID 19104925 DOI: 10.1007/S10827-008-0129-Z  1
2008 Hanson SJ, Halchenko YO. Brain reading using full brain support vector machines for object recognition: there is no "face" identification area. Neural Computation. 20: 486-503. PMID 18047411 DOI: 10.1162/Neco.2007.09-06-340  1
2008 Hanson S, Schmidt A. High Resolution Imaging of the Fusiform Face Area (FFA) Using Nonlinear Classifiers Shows Diagnosticity for Nonface Categories Nature Precedings. 3: 1-1. DOI: 10.1038/Npre.2008.2235.1  0.96
2007 Hanson SJ, Hanson C, Halchenko Y, Matsuka T, Zaimi A. Bottom-up and top-down brain functional connectivity underlying comprehension of everyday visual action. Brain Structure & Function. 212: 231-44. PMID 17968590 DOI: 10.1007/S00429-007-0160-2  1
2007 Hanson SJ, Rebecchi R, Hanson C, Halchenko YO. Dense mode clustering in brain maps. Magnetic Resonance Imaging. 25: 1249-62. PMID 17459639 DOI: 10.1016/J.Mri.2007.03.013  1
2005 Hanson C, Hanson SJ. Categorization in Neuroscience: Brain Response to Objects and Events Handbook of Categorization in Cognitive Science. 119-140. DOI: 10.1016/B978-008044612-7/50060-3  1
2004 Hanson SJ, Matsuka T, Haxby JV. Combinatorial codes in ventral temporal lobe for object recognition: Haxby (2001) revisited: is there a "face" area? Neuroimage. 23: 156-66. PMID 15325362 DOI: 10.1016/J.Neuroimage.2004.05.020  1
2004 Bly BM, Rebbechi D, Hanson SJ, Grasso G. The RUMBA software: tools for neuroimaging data analysis. Neuroinformatics. 2: 71-100. PMID 15067169 DOI: 10.1385/Ni:2:1:071  1
2002 Hanson SJ, Negishi M. On the emergence of rules in neural networks. Neural Computation. 14: 2245-68. PMID 12184850 DOI: 10.1162/089976602320264079  1
2002 Negishi M, Hanson SJ. Grammar transfer in a second order recurrent neural network Advances in Neural Information Processing Systems 1
2001 Hanson SJ, Bly BM. The distribution of BOLD susceptibility effects in the brain is non-Gaussian. Neuroreport. 12: 1971-7. PMID 11435932 DOI: 10.1097/00001756-200107030-00039  1
2001 Hanson SJ, Gause W, Natelson B. Detection of immunologically significant factors for chronic fatigue syndrome using neural-network classifiers. Clinical and Diagnostic Laboratory Immunology. 8: 658-62. PMID 11329477 DOI: 10.1128/CDLI.8.3.658-662.2001  1
2001 Negishi M, Hanson SJ. A study of grammar transfer in a second order recurrent network Proceedings of the International Joint Conference On Neural Networks. 1: 326-330.  1
2000 Japkowicz N, Jos, Gluck MA. Nonlinear autoassociation is not equivalent to PCA. Neural Computation. 12: 531-45. PMID 10769321 DOI: 10.1162/089976600300015691  1
1999 Japkowicz N, Hanson SJ. Adaptability of the backpropagation procedure Proceedings of the International Joint Conference On Neural Networks. 3: 1710-1715.  1
1996 Hanson C, Hanson SJ. Development of Schemata during Event Parsing: Neisser's Perceptual Cycle as a Recurrent Connectionist Network. Journal of Cognitive Neuroscience. 8: 119-34. PMID 23971419 DOI: 10.1162/Jocn.1996.8.2.119  1
1994 Schwanke RW, Hanson SJ. Using Neural Networks to Modularize Software Machine Learning. 15: 137-168. DOI: 10.1023/A:1022669305303  1
1991 Hanson C, Hirst W. Recognizing Differences in Recognition Tasks: A Reply to Lassiter and Slaw Journal of Experimental Psychology: General. 120: 211-212. DOI: 10.1037/0096-3445.120.2.211  1
1990 Hanson SJ, Burr DJ. What connectionist models learn: Learning and representation in connectionist networks Behavioral and Brain Sciences. 13: 471-518. DOI: 10.1017/S0140525X00079760  1
1990 Hanson SJ. A stochastic version of the delta rule Physica D: Nonlinear Phenomena. 42: 265-272. DOI: 10.1016/0167-2789(90)90081-Y  1
1989 Hanson SJ, Bauer M. Conceptual Clustering, Categorization, and Polymorphy Machine Learning. 3: 343-372. DOI: 10.1023/A:1022697818275  1
1986 Hanson SJ, Bauer M. MACHINE LEARNING, CLUSTERING AND POLYMORPHY Mach Intell Pattern Recognit. 4: 415-428.  1
1985 Hanson SJ, Rosinski RR. Programmer perceptions of productivity and programming tools Communications of the Acm. 28: 180-189. DOI: 10.1145/2786.2791  1
1983 Hanson SJ, Timberlake W. Regulation during challenge: A general model of learned performance under schedule constraint Psychological Review. 90: 261-282. DOI: 10.1037/0033-295X.90.3.261  1
1981 Hanson SJ, Killeen PR. Measurement and modeling of behavior under fixed-interval schedules of reinforcement Journal of Experimental Psychology: Animal Behavior Processes. 7: 129-139. DOI: 10.1037//0097-7403.7.2.129  1
1981 Killeen PR, Phillip Smith J, Hanson SJ. Central place foraging in Rattus norvegicus Animal Behaviour. 29: 64-70. DOI: 10.1016/S0003-3472(81)80152-2  1
1978 Killeen PR, Hanson SJ, Osborne SR. Arousal: its genesis and manifestation as response rate. Psychological Review. 85: 571-81. PMID 734020 DOI: 10.1037/0033-295X.85.6.571  1
Show low-probability matches.