Author

Amirhossein Farzmahdi

Columbia UniversityORCID 0000-0001-6926-546XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 2

Signature Assays, Organisms & Methods

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Approach:machine learning (classical)· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1

Frequent Co-Authors

Nikolaus KriegeskorteiD· 2 shared Chase King· 1 shared Hossein AdeliiD· 1 shared Tal GolaniD· 1 shared Wang Boran· 1 shared Wilbert ZarcoiD· 1 shared Winrich A. FreiwaldiD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

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7 top collaborators · 12 mutual co-author links

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2 shared papersNeuroscience

Nikolaus KriegeskorteORCID

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2 papers

Recent·Most cited

NeurosciencebioRxivPreprintOct 9, 2026

Lateral recurrence dynamically refines visual representations for task performance

Amirhossein Farzmahdi, Hossein Adeli, Wang Boran…·Nikolaus Kriegeskorte

This study shows that lateral recurrence in neural networks enhances identity separability in trained domains through dynamic refinement of representational geometry.

DOI 10.64898/2026.10.02.756219

statistical modelmachine learning (classical)

𝕏 PostBluesky

NeuroscienceeLifePeer-reviewedApr 25, 2024

Emergence of brain-like mirror-symmetric viewpoint tuning in convolutional neural networks

Amirhossein Farzmahdi, Wilbert Zarco, Winrich A. Freiwald…·Tal Golan

This paper shows that mirror-symmetric viewpoint tuning emerges in convolutional neural networks trained on object recognition tasks, even without face-specific training, and explains its mechanism through reflection-equivariant representations.

6 citations

statistical modelmachine learning (classical)

𝕏 PostBluesky