Author

Adam Hakim

Tel Aviv UniversityORCID 0000-0003-4172-0867Unclaimed 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· 3 Approach:machine learning (classical)· 2 Research Focus:benchmarking· 1 Organism:C. elegans· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1

Frequent Co-Authors

Dino J. LevyiD· 2 shared Amir A. LevineiD· 1 shared Asaf MadariD· 1 shared Daniel Andrew AtadiD· 1 shared Dino J Levy· 1 shared Doron A. FriedmaniD· 1 shared Inbal Gur ArieiD· 1 shared Itai Antoine TokeriD· 1 shared

Activity by Year

2018-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 10 mutual co-author links

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2 shared papersNeuroscience

Dino J. LevyORCID

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4 papers

Recent·Most cited

NeurosciencebioRxivPreprintSep 28, 2026

Predicting the immediate and subsequent effects of commercials on product valuation using EEG and deep learning

Inbal Gur Arie, Daniel Andrew Atad, Adam Hakim, Dino J. Levy

This study uses EEG and deep learning to predict consumer valuation and preferences after watching commercials, showing better accuracy than standard EEG measures.

DOI 10.64898/2026.09.22.751523

electronic health recordsdeep learning

𝕏 PostBluesky

NeurosciencebioRxivPreprintDec 20, 2022

The trembling hand unraveled: the motor dynamics and neural sources of choice inconsistency

Vered Kurtz-David, Asaf Madar, Adam Hakim…·Dino J. Levy

This study identifies two neural sources of noise contributing to inconsistent choice behavior through behavioral and neuroimaging analyses.

DOI 10.1101/2022.12.20.521216

humanimaging

𝕏 PostBluesky

NeurosciencebioRxivPreprintAug 16, 2018

Pathways to Consumers Minds: Using Machine Learning and Multiple EEG Metrics to Increase Preference Prediction Above and Beyond Traditional Measurements

Adam Hakim, Shira Klorfeld, Tal Sela…·Dino J Levy

This study uses EEG and machine learning to predict consumer preferences and commercial success better than traditional questionnaires.

24 citations

imagingmachine learning (classical)

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BioinformaticsBMC BiologyPeer-reviewedJan 16, 2018

WorMachine: Machine Learning-Based Phenotypic Analysis Tool for Worms

Adam Hakim, Yael Mor, Itai Antoine Toker…·Oded Rechavi

WorMachine automates phenotypic analysis of C. elegans by identifying worms, extracting features, and quantifying signals, demonstrating effectiveness in multiple assays.

52 citations

C. elegansimaging

𝕏 PostBluesky