Faculty

Institution

Unit

Venue

James V. Haxby

Professor

Dartmouth College

Affiliations

Faculty of Arts and Sciences

Cognitive Science Program

Department of Psychological and Brain Sciences

James V. Haxby is currently serving as a Cognitive Science Program Professor at Dartmouth College.

Honors

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Experiences

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Education

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James V. Haxby

Dartmouth College

Professor

You can click a keyword to filter the displayed items

neuroscience cognitive neuroscience cognitive science neuroimaging neurology systems neuroscience computational neuroscience neuropsychology alzheimer's disease vision research brain imaging dementia brain science neural science psychiatry brain function neuroanatomy working memory alzheimer type neuroscience of aging visual science visual processing affective neuroscience clinical neuroscience brain mapping neuropsychiatry machine vision neuropsychopharmacology brain organization cerebral blood flow magnetic resonance imaging face perception fmri study biological psychiatry brain modeling developmental cognitive neuroscience geriatric neurology positron emission tomography cognitive psychology ventral temporal cortex neuroradiology spatial cognition neurosurgery image representation psychopharmacology human cognition embodied cognition neuroinformatics neurodynamics cognitive electrophysiology connectomics fmri data multivariate pattern analysis selective attention human extrastriate cortex brain metabolism medical image computing neuropsychological rehabilitation molecular neurodegeneration psychiatric research craniofacial research brain structure neuroimaging modality cerebrospinal fluid treatment effects distributed neural systems visuospatial attention early alzheimer cognitive function functional connectivity human identification task performance perception system object manipulation human neural systems temporal cortex neural decoding bio-inspired computation computational cognitive neuroscience

Notable Scholarly Works

Notable Federal Grants

Collaborators

Action Features Dominate Cortical Representation During Natural Vision. bioRxiv (Cold Spring Harbor Laboratory) (2025)

visual systemvisual processingaction featuresvisual sciencevisual perceptionneurosciencevisual pathwayscognitive sciencecognitive neuroscience

Boosting Hyperalignment Performance With Age-Specific Templates. bioRxiv (Cold Spring Harbor Laboratory) (2025)

pattern recognitionstructural optimizationvectorizationcomputer sciencehyperalignment performance

A Cortical Surface Template for Human Neuroscience. Nature Methods (2024)

M FeilongG JiahuiMI GobbiniJV Haxby

cortical surface templatehuman neurosciencecognitive neuroscienceneuroscience

Behaviorally-Relevant Features of Observed Actions Dominate Cortical Representational Geometry in Natural Vision. Research Square (Research Square) (2024)

Jane HanVassiki ChauhanRebecca PhilipMorgan TaylorHeejung JungYaroslav HalchenkoM. Ida GobbiniJames HaxbySamuel Nastase

visual processingobserved actionscortical representational geometryvisual perceptionneurosciencebehavioral sciencesbehavioral neurosciencenatural visionbehaviorally-relevant featurescognitive science

The Laboratory of Brain and Cognition: A Lab is Born. Journal of Cognitive Neuroscience (2024)

James V. Haxby

cognitioncognitive impairmentclinical neurosciencecognitive architecturecognitive developmentbrain sciencecognitive electrophysiologyneurosciencelaboratory investigationcognitive sciencedevelopmental cognitive neurosciencecognitive psychologycognitive neurosciencehuman brain

Author Response: Cross-Movie Prediction of Individualized Functional Topography. (2023)

Guo JiahuiMa FeilongSamuel A NastaseJames V HaxbyM Ida Gobbini

individualized functional topographycross-movie predictionauthor responsecomputer sciencemachine learning

Cross-Movie Prediction of Individualized Functional Topography. eLife (2023)

G JiahuiM FeilongSA NastaseJV HaxbyMI Gobbini

cross-movie predictionindividualized functional topographymachine learning researchcomputer sciencemachine learningneurosciencedata sciencecomputational neuroscienceimage analysiscomputer vision

Dissociation of Reliability, Heritability, and Predictivity in Coarse- and Fine-Scale Functional Connectomes During Development. Journal of Neuroscience (2023)

Erica L. BuschKristina M. RapuanoKevin M. AndersonMonica D. RosenbergRichard WattsBJ CaseyJames V. HaxbyMa Feilong

developmental biologygeneticsdevelopmental neurobiologyheredityneuroscienceconnectomicsreliability

Hyper-Hmm: Simultaneous Temporal and Spatial Pattern Alignment for Brains and Stimuli. 2022 Conference on Cognitive Computational Neuroscience (2023)

Caroline LeeJane HanMa FeilongGuo JiahuiJames HaxbyChristopher Baldassano

pattern recognitionspatial pattern alignmentneurosciencetemporal pattern recognitioncognitive sciencecognitive neurosciencecomputer vision

Modeling Naturalistic Face Processing in Humans With Deep Convolutional Neural Networks. Proceedings of the National Academy of Sciences (2023)

G JiahuiM FeilongSA NastaseJV HaxbyMI Gobbini

deep learningcomputer scienceneurosciencemachine intelligencebrain modelingcomputer visionnaturalistic face processinghuman modellingcomputational neurosciencehuman sciencescognitive sciencecognitive neuroscience

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James V. Haxby

Professor

Dartmouth College

Affiliations

Faculty of Arts and Sciences

Cognitive Science Program

Department of Psychological and Brain Sciences

James V. Haxby is currently serving as a Cognitive Science Program Professor at Dartmouth College.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

James V. Haxby

Dartmouth College

Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Action Features Dominate Cortical Representation During Natural Vision. bioRxiv (Cold Spring Harbor Laboratory) (2025)

visual systemvisual processingaction featuresvisual sciencevisual perceptionneurosciencevisual pathwayscognitive sciencecognitive neuroscience

Boosting Hyperalignment Performance With Age-Specific Templates. bioRxiv (Cold Spring Harbor Laboratory) (2025)

pattern recognitionstructural optimizationvectorizationcomputer sciencehyperalignment performance

A Cortical Surface Template for Human Neuroscience. Nature Methods (2024)

M FeilongG JiahuiMI GobbiniJV Haxby

cortical surface templatehuman neurosciencecognitive neuroscienceneuroscience

Behaviorally-Relevant Features of Observed Actions Dominate Cortical Representational Geometry in Natural Vision. Research Square (Research Square) (2024)

Jane HanVassiki ChauhanRebecca PhilipMorgan TaylorHeejung JungYaroslav HalchenkoM. Ida GobbiniJames HaxbySamuel Nastase

visual processingobserved actionscortical representational geometryvisual perceptionneurosciencebehavioral sciencesbehavioral neurosciencenatural visionbehaviorally-relevant featurescognitive science

The Laboratory of Brain and Cognition: A Lab is Born. Journal of Cognitive Neuroscience (2024)

James V. Haxby

Author Response: Cross-Movie Prediction of Individualized Functional Topography. (2023)

Guo JiahuiMa FeilongSamuel A NastaseJames V HaxbyM Ida Gobbini

individualized functional topographycross-movie predictionauthor responsecomputer sciencemachine learning

Cross-Movie Prediction of Individualized Functional Topography. eLife (2023)

G JiahuiM FeilongSA NastaseJV HaxbyMI Gobbini

cross-movie predictionindividualized functional topographymachine learning researchcomputer sciencemachine learningneurosciencedata sciencecomputational neuroscienceimage analysiscomputer vision

Dissociation of Reliability, Heritability, and Predictivity in Coarse- and Fine-Scale Functional Connectomes During Development. Journal of Neuroscience (2023)

Erica L. BuschKristina M. RapuanoKevin M. AndersonMonica D. RosenbergRichard WattsBJ CaseyJames V. HaxbyMa Feilong

developmental biologygeneticsdevelopmental neurobiologyheredityneuroscienceconnectomicsreliability

Hyper-Hmm: Simultaneous Temporal and Spatial Pattern Alignment for Brains and Stimuli. 2022 Conference on Cognitive Computational Neuroscience (2023)

Caroline LeeJane HanMa FeilongGuo JiahuiJames HaxbyChristopher Baldassano

pattern recognitionspatial pattern alignmentneurosciencetemporal pattern recognitioncognitive sciencecognitive neurosciencecomputer vision

Modeling Naturalistic Face Processing in Humans With Deep Convolutional Neural Networks. Proceedings of the National Academy of Sciences (2023)

G JiahuiM FeilongSA NastaseJV HaxbyMI Gobbini

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5
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10 / page

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