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The links to the data and frozen code deposited to the repositories by the Precision Neuromodulation Lab.

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Shared Data and Code

The links to the data and frozen code deposited to the official repositories by the Precision Neuromodulation (PN) Lab.

Meta-Modelling for Brain Stimulation

Dataset and code for the meta-modelling of transcranial brain stimulation in human population. Includes 100 preprocessed, quality-assured, realistic human head models with variable plausible condactivites and code for meta-analysis with SimNIBS.
Wischnewski M, Berger TA, Opitz A, Alekseichuk I (2024). Causal functional maps of brain rhythms in working memory. PNAS 121(14)
Berger TA, Wischnewski M, Opitz A, Alekseichuk I (2025). Human head models and populational framework for simulating brain stimulations. Scientific Data 12
PNAS paper results: https://zenodo.org/records/10651639
Models #1: https://zenodo.org/records/13259679
Models #2: https://zenodo.org/records/13259747
Models #3: https://zenodo.org/records/13259943
Models #4: https://zenodo.org/records/13260068
Models #5: https://zenodo.org/records/13259599
Models #6: https://zenodo.org/records/13260208
Model conversion tools: https://zenodo.org/records/14270009

Closed-Loop TMS

Code for closed-loop TMS-EEG using the methods developted by Sina Shirinpour, Alexander Opitz, and Ivan Alekseichuk (PN Lab).
Shirinpour S, Alekseichuk I, Mantell K, Opitz (2020). Experimental evaluation of methods for real-time EEG phase-specific transcranial magnetic stimulation. Journal of Neural Engineering 17(4)
Code: https://github.com/neuromodulationlab/closedloopTMSEEG

Translational Modelling for TMS and TES

Finite element method (FEM) models of mouse, monkey, petry dish, and human for translational/comparative non-invasive brain stimulation modeling using SimNIBS or other compatible software.
Alekseichuk I, Mantell K, Shirinpour S, Opitz A (2019): Comparative modeling of transcranial magnetic and electric stimulation in mouse, monkey, and human. Neuroimage 194
Models: https://zenodo.org/records/4009465

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