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Example rendering from BrainGenix

BrainGenix: Accelerating WBE Research and Clinical Neuroscience

BrainGenix is an open-source project focused on advancing whole brain emulation (WBE) research and clinical neuroscience. Its core mission is to provide a modular, reproducible stack that researchers can use on their own hardware. All code is open-source and freely available under the AGPL-3.0 license, promoting fairness and accessibility.

Key Components & GitLab Locations

The BrainGenix platform consists of several key components, each with a specific purpose. All repositories are public, licensed under AGPL-3.0, and include documentation, and example workflows.

Component Purpose GitLab Repo
NES – Neuronal Emulation System Executes biologically-realistic neuronal simulations https://gitlab.braingenix.org/carboncopies/BrainGenix-nes
API – BrainGenix API Server Unified REST/JSON interface for all services https://gitlab.braingenix.org/carboncopies/BrainGenix-API
ERS – Environment Rendering System Generates virtual environments and sensory translation for emulations https://gitlab.braingenix.org/carboncopies/BrainGenix-ERS
EVM – Evaluation Metrics Quantifies accuracy of participant emulations in the Brain Emulation Challenge https://gitlab.braingenix.org/carboncopies/BrainGenix-EVM
STS – Scan Translation System Converts EM, electrophysiology, and other scan data into NES-compatible models https://gitlab.braingenix.org/carboncopies/BrainGenix-STS
VSDA – Virtual Scan Data Acquisition Simulates data acquisition pipelines for testing and training https://gitlab.braingenix.org/carboncopies/BrainGenix-VSDA

Guide Overview

  • Getting Started

    Step-by-step setup from zero to a running BrainGenix installation. Covers hardware and software requirements, backend installation, and Python client setup. Start here if you're new to the platform.

    Getting Started

  • Virtual Brain Platform

    The pyBrainGenixClient Python library — the primary interface for building and running experiments. Covers simulation creation, geometry and neuron models, virtual data acquisition tools (electrodes, EM renderer, calcium imaging), and 3D visualization.

    Virtual Brain Platform

  • Brain Emulation Challenge

    Documentation for the WBE Challenge competition framework. Includes challenge level descriptions (L1–L2), submission format, meaningful operations criteria, and how to submit a solution for scoring.

    Brain Emulation Challenge

  • Backend Divisions

    Reference documentation for the three backend services that power the platform: NES (neuronal simulation engine), EVM (evaluation and scoring metrics), and API (the unified REST gateway between client and services).

    NES   EVM   API

  • Contribute

    How to contribute code, documentation, or datasets to BrainGenix. All repositories are open-source under AGPL-3.0 and welcome community participation.

    Contribute