Author

Ali Haydaroğlu

University College LondonORCID 0000-0002-8006-3145Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Approach:machine learning (classical)· 2 Research Focus:differential expression· 1 Research Focus:dimensionality reduction· 1 Assay:electronic health records· 1 Approach:experimental assay· 1 Assay:imaging· 1 Organism:mouse· 1

Frequent Co-Authors

Matteo CarandiniiD· 3 shared Kenneth D. HarrisiD· 2 shared Valentin SchmutziD· 2 shared Alipasha VaziriiD· 1 shared Andrew T. LandauiD· 1 shared Charu Bai ReddyiD· 1 shared Dabin Kwon· 1 shared David Meyer· 1 shared

Activity by Year

2025-2025 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 28 mutual co-author links

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3 shared papersNeuroscience

Matteo CarandiniORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

AI-discovered tuning laws explain neuronal population code geometry

Reilly Tilbury, Dabin Kwon, Ali Haydaroğlu, Jacob M Ratliff, Valentin Schmutz, Matteo Carandini, Kevin J. Miller, Kim Stachenfeld, Kenneth D. Harris

This paper uses AI to discover an equation explaining how neuronal tuning smoothness controls population code geometry in visual cortex and head-direction cells.

bioRxiv · Nov 12, 2025 · PreprintNeuroscience

Suite3D: Volumetric cell detection for two-photon microscopy

Ali Haydaroğlu, T. Y. Chang, Andrew T. Landau, Michael Krumin, Suyash Agarwal, Sam W Dodgson, Liad J. Baruchin, Maria Cozan, Jingkun Guo, David Meyer, Charu Bai Reddy, Jian Zhong, Na Ji, Sylvia Schröder, Kenneth D. Harris, , Matteo Carandini

Suite3D improves 3D cell detection in two-photon microscopy by correcting motion and segmenting cells across planes, enhancing detectability and signal quality.

bioRxiv · Mar 26, 2025 · PreprintNeuroscience

High-dimensional neuronal activity from low-dimensional latent dynamics: a solvable model

Valentin Schmutz, Ali Haydaroğlu, Shuqi Wang, Yixiao Feng, Matteo Carandini, Kenneth D. Harris

The paper presents a solvable RNN model showing low-dimensional latent dynamics can generate high-dimensional neuronal activity, and introduces NCE to demonstrate this in mouse visual cortex data.

neural information processing systems · Jan 1, 2025Peer-reviewedNeuroscience