C. Hanson

发表

The visual analysis of bodily emotions

Maggie Shiffrar, Toshihiko Matsuka, Catherine Hanson, 2005 .

Differences in atypical resting-state effective connectivity distinguish autism from schizophrenia

S. Hanson, C. Hanson, D. Mastrovito, 2018, NeuroImage: Clinical.

Scale-Free Exponents of Resting State provide a Biomarker for Typical and Atypical Brain Activity

C. Glymour, S. Hanson, C. Hanson, 2016, 1605.09282.

Modeling activation and effective connectivity of VWFA in same script bilinguals

S. Hanson, C. Hanson, Olga Boukrina, 2014, Human brain mapping.

Attentional Bias in Human Category Learning: The Case of Deep Learning

Stephen José Hanson, Leyla Roskan Caglar, Catherine Hanson, 2018, Front. Psychol..

Dense mode clustering in brain maps B

S. Hanson, Y. Halchenko, C. Hanson, 2007 .

Knowing This from That : Brain Response to Objects and Events

S. Hanson, C. Hanson, 2005 .

Enhancementand Their Modulation by Cholinergic Effects of Attention and Emotion on Repetition

Annchen R. Knodt, S. Hanson, J. Driver, 2015 .

Brain network connectivity underlying decisions between the "lesser of two evils"

S. Hanson, C. Hanson, Colleen Mills-Finnerty, 2018 .

fMRI BOLD response in high-risk college students (Part 1): during exposure to alcohol, marijuana, polydrug and emotional picture cues.

S. Hanson, M. Bates, C. Hanson, 2010, Alcohol and alcoholism.

Implicit memory for object locations depends on reactivation of encoding‐related brain regions

S. Hanson, C. Hanson, A. Manelis, 2011, Human brain mapping.

Modeling Causal Relationships among Brain Areas in the Mesocorticolimbic System during Resting-State in Cocaine Users Utilizing a Graph Theoretic Approach

S. Hanson, B. Biswal, S. Gohel, 2017, Journal of alcoholism and drug dependence.

Scale-Free Exponents of Resting State are Biomarkers of Neuro-Typical and Atypical Brain Activity

C. Glymour, S. Hanson, C. Hanson, 2016, bioRxiv.

Effective Connectivity of Brain Networks Responsible for Impaired Joint Attention in Individuals with Autism

C. Glymour, S. Hanson, C. Hanson, 2012 .

Prefrontal-limbic connectivity during worry in older adults with generalized anxiety disorder

C. Hanson, D. Eldreth, J. Mohlman, 2017, Aging & mental health.

Temporal Dynamics of Activity in Default Mode Network Suggest a Role in Top-Down Processing for Trial Responses

C. Hanson, D. Mastrovito, S. Hanson, 2023, bioRxiv.

Development of Schemata during Event Parsing: Neisser's Perceptual Cycle as a Recurrent Connectionist Network

Catherine Hanson, C. Hanson, Stephen Jos Hanson, 1996, Journal of Cognitive Neuroscience.

Categorization in Neuroscience: Brain Response to Objects and Events

Stephen José Hanson, Catherine Hanson, S. Hanson, 2005 .

Chapter 9 – Categorization in Neuroscience: Brain Response to Objects and Events

S. Hanson, C. Hanson, 2005 .

Six problems for causal inference from fMRI

Russell A. Poldrack, Clark Glymour, Yaroslav O. Halchenko, 2010, NeuroImage.

Dense mode clustering in brain maps.

Stephen José Hanson, Yaroslav O Halchenko, Catherine Hanson, 2007, Magnetic resonance imaging.

Solving the brain synchrony eigenvalue problem: conservation of temporal dynamics (fMRI) over subjects doing the same task

Stephen Jose Hanson, Catherine Hanson, A. D. Gagliardi, 2008, Journal of Computational Neuroscience.

Atypical Effective Connectivity of Social Brain Networks in Individuals with Autism

Clark Glymour, Stephen Jose Hanson, Catherine Hanson, 2013, Brain Connect..

Representing Categorical Knowledge: A fMRI Study

S. Hanson, T. Yamauchi, T. Matsuka, 2005 .

The Compositional Nature of Event Representations in the Human Brain

Barak A. Pearlmutter, Jason J. Corso, Caiming Xiong, 2014, 1505.06670.

Bottom-up and top-down brain functional connectivity underlying comprehension of everyday visual action

T. Matsuka, Y. Halchenko, C. Hanson, 2007, Brain Structure and Function.

Experimental evidence for a child-to-adolescent switch in human amygdala-prefrontal cortex communication: A cross-sectional pilot study.

Daniel S. Lumian, Dominic S. Fareri, D. Gee, 2022, Developmental science.

Modeling Causal Relationship Between Brain Regions Within the Drug-Cue Processing Network in Chronic Cocaine Smokers

Suchismita Ray, Stephen José Hanson, Bharat Biswal, 2015, Neuropsychopharmacology.

Computations and Connectivity Underlying Aversive Counterfactuals

Colleen Mills-Finnerty, Catherine Hanson, Mohannad Khadr, 2020, Brain Connect..

Brain network response underlying decisions about abstract reinforcers

Stephen Jose Hanson, Catherine Hanson, Colleen Mills-Finnerty, 2014, NeuroImage.

IMAGES: On the Brain

C. Hanson, 2000, Science.

Enhanced Cue Reactivity to Cocaine Cues in Non-treatment Seeking Cocaine Smokers

S. Hanson, C. Hanson, Suchismita Ray, 2014 .

fMRI BOLD response of high-risk college students (Part 2): during memory priming of alcohol, marijuana and polydrug picture cues.

S. Hanson, M. Bates, C. Hanson, 2010, Alcohol and alcoholism.

Recognizing differences in recognition tasks: A reply to Lassiter and Slaw.

W. Hirst, C. Hanson, 1991 .

Reverse Inference in Neuropsychology

Clark Glymour, Catherine Hanson, C. Glymour, 2016, The British Journal for the Philosophy of Science.

A Functional MRI Index of Spatial Context Effects in Vision

Thomas V. Papathomas, Catherine Hanson, Keith Feigenson, 2015 .

The Compositional Nature of Verb and ArgumentRepresentations in the Human Brain

Barak A. Pearlmutter, Jason J. Corso, Caiming Xiong, 2013, 1306.2293.

fMRI BOLD response in high-risk college students (Part 1): during exposure to alcohol, marijuana, polydrug and emotional picture cues.

S. Hanson, M. Bates, C. Hanson, 2010, Alcohol and Alcoholism.

Six problems for causal inference from fMRI

C. Glymour, S. Hanson, R. Poldrack, 2010, NeuroImage.