Author

Houman Safaai

Harvard UniversityORCID 0000-0002-8609-7397Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:imaging· 2 Organism:mouse· 2 Approach:statistical model· 2 Research Focus:cell-cell communication· 1 Approach:experimental assay· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Stefano PanzeriiD· 3 shared Christopher D. HarveyiD· 2 shared Shinichiro KiraiD· 2 shared Alice Y. WangiD· 1 shared Ari S. MorcosiD· 1 shared Marco CelottoiD· 1 shared Miguel A. CasaliD· 1 shared Roberto MaffulliiD· 1 shared

Activity by Year

2022-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 23 mutual co-author links

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3 shared papersNeuroscience

Stefano PanzeriORCID

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3 papers

Recent·Most cited

Specialized structure of neural population codes in parietal cortex outputs

Houman Safaai, Alice Y. Wang, Shinichiro Kira, Simone Blanco Malerba, Stefano Panzeri, Christopher D. Harvey

The paper investigates whether cortical neurons projecting to the same target form specialized population codes, finding structured correlations that enhance information transmission during correct behavioral choices.

Nature Neuroscience · Oct 31, 2025Peer-reviewedNeuroscience

A distributed and efficient population code of mixed selectivity neurons for flexible navigation decisions

Shinichiro Kira, Houman Safaai, Ari S. Morcos, Stefano Panzeri, Christopher D. Harvey

The paper identifies neurons in V1, PPC, and RSC that encode mixed selectivity for navigation decisions, forming efficient population codes in RSC for correct choices.

Nature Communications · Apr 13, 2023Peer-reviewedNeuroscience

NIT: an open-source tool for information theoretic analysis of neural population data

Roberto Maffulli, Miguel A. Casal, Marco Celotto, Stefano Zucca, Houman Safaai, Tommaso Fellin, Stefano Panzeri

NIT is an open-source toolbox for information-theoretic analysis of neural data, including calcium imaging, offering tools for encoding quantification, information transmission, and partial information decompositions.

bioRxiv · Dec 11, 2022 · PreprintNeuroscience