Author

Noé Hamou

Harvard UniversityORCID 0009-0006-1265-6770Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Noé Hamou1 paper · Centre National de la Recherche Scientifique

Biology Disciplines

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Animal Behavior & Cognition· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Approach:Bayesian inference· 1 Organism:mouse· 1 Approach:statistical model· 1

Frequent Co-Authors

Constantine Tsibouris· 1 shared Farhad PashakhanlooiD· 1 shared Gautam ReddyiD· 1 shared George CaiiD· 1 shared Hannah McCalmon· 1 shared Jo HoskinsiD· 1 shared Samuel Joseph GershmaniD· 1 shared SueYeon ChungiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperNeuroscience

Constantine Tsibouris

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2 papers

Recent·Most cited

NeuroscienceCell ReportsPeer-reviewedAug 20, 2026

Sparse input representations explain odor discrimination in complex, concentration-varying mixtures

Hannah McCalmon, George Cai, Constantine Tsibouris…·Venkatesh N. Murthy

The paper shows that mice can discriminate odors in complex mixtures primarily limited by neural sensitivity rather than background complexity.

DOI 10.1016/j.celrep.2026.117883

mousestatistical model

𝕏 PostBluesky

Animal Behavior & CognitionNature CommunicationsPeer-reviewedNov 21, 2025

Reconciling time and prediction error theories of associative learning

Noé Hamou, Samuel Joseph Gershman, Gautam Reddy

This paper proposes a Bayesian theory for temporal causal learning that explains learning phenomena through timescale invariance and integrates aspects of timing and prediction error theories.

4 citations

Bayesian inference

𝕏 PostBluesky