| Year |
Citation |
Score |
| 2024 |
Hanson SJ, Yadav V, Hanson C. Dense Sample Deep Learning. Neural Computation. 36: 1228-1244. PMID 38669696 DOI: 10.1162/neco_a_01666 |
0.634 |
|
| 2022 |
Gee DG, Hanson C, Caglar LR, Fareri DS, Gabard-Durnam LJ, Mills-Finnerty C, Goff B, Caldera CJ, Lumian DS, Flannery J, Hanson SJ, Tottenham N. Experimental evidence for a child-to-adolescent switch in human amygdala-prefrontal cortex communication: A cross-sectional pilot study. Developmental Science. e13238. PMID 35080089 DOI: 10.1111/desc.13238 |
0.703 |
|
| 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 |
0.754 |
|
| 2020 |
Frazier-Logue N, Hanson SJ. The Stochastic Delta Rule: Faster and More Accurate Deep Learning through Adaptive Weight Noise. Neural Computation. 1-15. PMID 32187001 DOI: 10.1162/Neco_A_01276 |
0.323 |
|
| 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 |
0.379 |
|
| 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 |
0.747 |
|
| 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 |
0.755 |
|
| 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 |
0.757 |
|
| 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 |
0.486 |
|
| 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 |
0.491 |
|
| 2015 |
Ray S, Hanson C, Haney M, Biswal B, Hanson SJ. Modeling causal relationship between memory and craving-related brain networks in non-treatment seeking cocaine smokers using images, a graph theoretic approach Drug and Alcohol Dependence. 146: e77. DOI: 10.1016/J.Drugalcdep.2014.09.578 |
0.493 |
|
| 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 |
0.761 |
|
| 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 |
0.502 |
|
| 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 |
0.64 |
|
| 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 |
0.543 |
|
| 2013 |
XU C, DOELL RF, HANSON SJ, HANSON C, CORSO JJ. A STUDY OF ACTOR AND ACTION SEMANTIC RETENTION IN VIDEO SUPERVOXEL SEGMENTATION International Journal of Semantic Computing. 7: 353-375. DOI: 10.1142/S1793351X13400114 |
0.482 |
|
| 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 |
0.359 |
|
| 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 |
0.704 |
|
| 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 |
0.721 |
|
| 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 |
0.617 |
|
| 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 |
0.481 |
|
| 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 |
0.496 |
|
| 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 |
0.71 |
|
| 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 |
0.633 |
|
| 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 |
0.67 |
|
| 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 |
0.749 |
|
| 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 |
0.766 |
|
| 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 |
0.749 |
|
| 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 |
0.663 |
|
| 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 |
0.622 |
|
| 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 |
0.767 |
|
| 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 |
0.671 |
|
| 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 |
0.441 |
|
| 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 |
0.547 |
|
| 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 |
0.315 |
|
| 2002 |
Hanson SJ, Negishi M. On the emergence of rules in neural networks. Neural Computation. 14: 2245-68. PMID 12184850 DOI: 10.1162/089976602320264079 |
0.378 |
|
| 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 |
0.501 |
|
| 1994 |
Schwanke RW, Hanson SJ. Using Neural Networks to Modularize Software Machine Learning. 15: 137-168. DOI: 10.1023/A:1022669305303 |
0.372 |
|
| 1991 |
HANSON SJ, OLSON CR. A Review of: “Neural Networks and Natural Intelligence: Notes from Mudville” Stephen Grossberg (Ed.) Cambridge, MA: MIT/Bradford, 1989 ISBN 0-262-07107-x, 544pp., £31.95 Connection Science. 3: 332-335. DOI: 10.1080/09540099108946591 |
0.56 |
|
| 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 |
0.393 |
|
| 1990 |
Hanson SJ. Conceptual clustering and categorization: bridging the gap between induction and causal models Machine Learning. 235-268. DOI: 10.1016/B978-0-08-051055-2.50015-8 |
0.348 |
|
| 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 |
0.303 |
|
| 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 |
0.302 |
|
| 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 |
0.501 |
|
| 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 |
0.523 |
|
| 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 |
0.5 |
|
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