Author

Alexander J.E. Kell

Mortimer B. Zuckerman Mind Brain Behavior Institute

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

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Neuroscience· 4

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Organism:human· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Approach:experimental assay· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1 Organism:mouse· 1

Frequent Co-Authors

Evelina G. FedorenkoiD· 2 shared Nancy KanwisheriD· 2 shared Alfonso CaramazzaiD· 1 shared Amanda J. HaskinsiD· 1 shared Dima Ayyash· 1 shared Elias B. IssaiD· 1 shared Julio MartineziD· 1 shared Katharina DobsiD· 1 shared

Activity by Year

2017-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 16 mutual co-author links

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2 shared papersNeuroscience

Evelina G. FedorenkoORCID

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4 papers

Recent·Most cited

Brain-like functional specialization emerges spontaneously in deep neural networks

Katharina Dobs, Julio Martinez, Alexander J.E. Kell, Nancy Kanwisher

This study shows that deep neural networks spontaneously develop functional specialization for different tasks, similar to the human brain's organization.

Science Advances · Mar 16, 2022Peer-reviewedNeuroscience

Brain organization, not size alone, as key to high-level vision: Evidence from marmoset monkeys

Alexander J.E. Kell, Sophie L. Bokor, You-Nah Jeon, Tahereh Toosi, Elias B. Issa

This study compares visual recognition abilities across species, finding that brain organization, not size, correlates with high-level visual performance in marmosets.

bioRxiv · Oct 19, 2020 · PreprintNeuroscience

Reduced language lateralization in autism and the broader autism phenotype as assessed with robust individual-subjects analyses

Olessia Jouravlev, Alexander J.E. Kell, Zachary Mineroff, Amanda J. Haskins, Dima Ayyash, Nancy Kanwisher, Evelina G. Fedorenko

The paper assesses reduced language lateralization in autism and the broader autism phenotype using individual-subject analyses and finds it is a robust and spatially selective neural marker.

Autism Research · Sep 15, 2020Peer-reviewedNeuroscience

Measuring and Modeling Nonlinear Interactions Between Brain Regions with fMRI

Stefano Anzellotti, Evelina G. Fedorenko, Alexander J.E. Kell, Alfonso Caramazza, Rebecca R. Saxe

This study introduces a framework using neural networks to model nonlinear interactions between brain regions in fMRI data, showing improved accuracy and revealing task-dependent functional subdivisions.

bioRxiv · Sep 12, 2017 · PreprintNeuroscience