Author

Mahan N. G. Hosseini

Forschungszentrum JülichORCID 0000-0003-2889-6227Unclaimed 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:statistical model· 2 Research Focus:benchmarking· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Brad WybleiD· 2 shared Howard BowmaniD· 2 shared Alon ZivonyiD· 1 shared Chloe Callahan- FlintoftiD· 1 shared John James CollinsiD· 1 shared Martin Eimer AiD· 1 shared Michael A. PowelliD· 1 shared William JonesiD· 1 shared

Activity by Year

2020-2026 · peak 1/yr

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8 top collaborators · 20 mutual co-author links

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2 shared papersNeuroscience

Brad WybleORCID

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2 papers

Recent·Most cited

NeurosciencebioRxivPreprintSep 13, 2026

The 2-feature Simultaneous Type/ Serial Token Model of temporal feature conjunctions: Successes are merely fortunate conjunctions.

Mahan N. G. Hosseini, Alon Zivony, Martin Eimer A…·Howard Bowman

The paper introduces the 2f-ST2 model to explain temporal feature conjunctions and distractor intrusion errors in perception, showing it can simulate behavioral and electrophysiological results without parameter changes.

DOI 10.64898/2026.09.07.749788

statistical model

𝕏 PostBluesky

NeurosciencebioRxivPreprintFeb 14, 2020

I TRIED A BUNCH OF THINGS: THE DANGERS OF UNEXPECTED OVERFITTING IN CLASSIFICATION

Michael A. Powell, Mahan N. G. Hosseini, John James Collins…·Brad Wyble

The paper demonstrates how overfitting through hyperparameter tuning can lead to non-generalizable results in machine learning, despite cross-validation, and suggests safeguards to prevent this.

32 citations

statistical modelmachine learning (classical)

𝕏 PostBluesky