Author

Haris Organtzidis

State University of New York

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· 3

Signature Assays, Organisms & Methods

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Assay:electronic health records· 2 Organism:human· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Assay:imaging· 1

Frequent Co-Authors

Anand PathakiD· 3 shared Earl K. MilleriD· 3 shared Helmut H. StreyiD· 3 shared Lilianne Rivka Mujica-ParodiiD· 3 shared Richard GrangeriD· 3 shared Scott L. BrincatiD· 2 shared Anthony G. ChesebroiD· 1 shared Eva‐Maria RataiiD· 1 shared

Activity by Year

2023-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 38 mutual co-author links

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Curved chords = mutual co-authorship

3 shared papersNeuroscience

Anand PathakORCID

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Author profile →

3 papers

Recent·Most cited

Mechanistic simulation identifies predictive dose-dependent biomarkers of propofol anesthesia

Anand Pathak, Scott L. Brincat, Yihan Xiong, Haris Organtzidis, Mason Protter, Vincent Du, Helmut H. Strey, Lilianne Rivka Mujica-Parodi, Earl K. Miller, Richard Granger

The paper uses a mechanistic model to simulate propofol's effects on brain circuits, identifying a dose-dependent biomarker confirmed in empirical data.

bioRxiv · Oct 9, 2026 · PreprintNeuroscience

Mechanistic corticostriatal circuit model predicts learning-dependent fMRI dynamics and individual reward bias in humans

Simon Carter, Zeming Kuang, Anthony G. Chesebro, Haris Organtzidis, Sadia Anjum Jumana, Stephen Burke, Anand Pathak, Eva‐Maria Ratai, Earl K. Miller, Richard Granger, Helmut H. Strey, Lilianne Rivka Mujica-Parodi

The paper uses a biophysical corticostriatal model to predict fMRI dynamics and individual reward bias in humans, confirming predictions through fMRI data.

bioRxiv · Jun 9, 2026 · PreprintNeuroscience

Biomimetic model of corticostriatal micro-assemblies discovers new neural code

Anand Pathak, Scott L. Brincat, Haris Organtzidis, Helmut H. Strey, Sageanne Senneff, Evan G. Antzoulatos, Lilianne Rivka Mujica-Parodi, Earl K. Miller, Richard Granger

The paper introduces a biomimetic model that generates simulated neural activity and cognitive phenomena, validated against experimental data, and discovers a new neural code predicting erroneous behaviors.

bioRxiv · Nov 6, 2023 · PreprintNeuroscience