FastDMF

This repository contains the code for simulating and fitting large-scale brain dynamics using the Dynamic Mean-Field (DMF) model. FastDMF enables efficient whole-brain simulations across spatial scales—from 90 to 1,000 regions—by combining a C++ core with Python and MATLAB interfaces. It features an analytic solution for Feedback Inhibition Control (FIC), and a Bayesian optimization framework for parameter fitting to empirical fMRI data.

The repository is organized into the following components: (1) src, C++ implementation of the DMF equations; (2) matlab_interface, MATLAB bindings for running simulations; (3) python_interface, Python wrapper for model configuration and execution; (4) data, example connectomes and parcellation files; (5) optimization, Bayesian parameter fitting tools; (6) examples, usage demos for different parcellation scales and parameter regimes.

For detailed methodology and usage instructions, please consult the README file: README.md (https://github.com/decolab/fastDMF/blob/main/README.md).

Launch online
Source Code
Contributors
GD HCL AIL FER PAM RH

Other Tools

See all tools

siibra-explorer

siibra-explorer is built around an interactive 3D view of the brain displaying a unique selection of detailed templates and parcellation maps for the human, macaque, rat or mouse brain, including BigBrain as a microscopic resolution human brain model at its full resolution of 20 micrometres.

Collaboratory

The EBRAINS Collaboratory offers researchers and developers a secure environment to work with others. You control the level of collaboration by sharing your projects with specific users, teams or all of the Internet. Many researchers are sharing their work already; several services, tools, datasets and other resources are publicly available, and many more are available for registered users.

MeshView

MeshView is a web application for real-time 3D display of surface mesh data representing structural parcellations from volumetric atlases, such as the Waxholm Space Atlas of the Sprague Dawley Rat Brain. MeshView is available as an EBRAINS community app, accessible via a collab (further info: https://wiki.ebrains.eu/bin/view/Collabs/image-registration-and-analysis-demo/) Key features: orbiting view with toggleable opaque/transparent/hidden parcellation meshes rendering user defined cut surface as if meshes were solid objects rendering point-clouds (simple type-in, or loaded from a JSON format) coordinate system is compatible with QuickNII (https://www.nitrc.org/projects/quicknii)

Create an account

EBRAINS is open and free. Sign up now for complete access to our tools and services.

Register