Author

Netta Dunsky

Tel Aviv University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Neuroscience· 2 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Assay:electronic health records· 2 Approach:experimental assay· 2 Organism:human· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Organism:C. elegans· 1 Research Focus:clustering· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Alain DagheriD· 2 shared Maayan Doron· 2 shared Neomi SingeriD· 2 shared Robert J. ZatorreiD· 2 shared Talma HendleriD· 2 shared Arielle G. Rabinowitz· 1 shared Dror CoheniD· 1 shared Gilad Poker· 1 shared

Activity by Year

2023-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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Curved chords = mutual co-authorship

2 shared papersNeuroscience

Alain DagherORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Music-to-My-Brain: Modulation of Reward System Activity via Musical Neurofeedback

Neomi Singer, Arielle G. Rabinowitz, Yuval Koryto, Yael Hamrani, Marcel Farrés Franch, Maayan Doron, Netta Dunsky, Guy Gurevitch, Talma Hendler, Alain Dagher, Robert J. Zatorre

This study develops a musical neurofeedback approach to enable self-regulation of ventral striatal activity, showing improved reward system modulation and behavioral relevance.

bioRxiv · May 7, 2026 · PreprintNeuroscience

Development and validation of an fMRI-informed EEG model of reward-related ventral striatum activation

Neomi Singer, Gilad Poker, Netta Dunsky, Shlomi Nemni, Shira Reznik Balter, Maayan Doron, Travis E. Baker, Alain Dagher, Robert J. Zatorre, Talma Hendler

The paper develops and validates an fMRI-informed EEG model to predict reward-related ventral striatum activation using spectro-temporal EEG features.

NeuroImage · May 22, 2023Peer-reviewedNeuroscience

RNAlysis: analyze your RNA sequencing data without writing a single line of code

Guy Teichman, Dror Cohen, Or Ganon, Netta Dunsky, Shachar Shani, Hila Gingold, Oded Rechavi

RNAlysis provides a user-friendly software for RNA sequencing analysis without coding, enabling customizable pipelines for data processing, visualization, and interpretation.

BMC Biology · Apr 6, 2023Peer-reviewedBioinformatics