The Laboratory of Large-Scale Brain Simulation is dedicated to advancing the field of largescale brain modeling.
Our research emphasizes groundbreaking innovations in large-scale brain simulation, focusing on software, algorithms, and computational models.
We are building an ecosystem for brain modeling. You can install it via:
pip install BrainXThis ecosystem is a collection of tools, libraries, and frameworks that can be used to build brain dynamics models and applications.
The ecosystem is designed to be modular, so you can use as much or as little of it as you need. Core components of the ecosystem include:
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BrainPy: Point-based spiking neural network simulation framework for brain dynamics modeling.
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BrainCell: Intuitive, parallel, and efficient simulation for biologically detailed brain cell modeling.
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BrainMass: Neural mass modeling for large-scale brain dynamics.
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BrainUnit: Comprehensive physical units and unit-aware mathematical system for brain dynamics.
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BrainState: State-based IR compilation for efficient simulation of brain models on CPUs, GPUs, and TPUs.
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BrainEvent: Enabling event-driven computations in brain dynamics.
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BrainTrace: Eligibility trace-based online learning for brain dynamics.
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BrainTools: Commonly used tools for brain dynamics programming, for example checkpointing.
For the details of this ecosystem, please see: https://brainmodeling.readthedocs.io/
We are building large-scale brain models to understand brain functions and mechanisms. Current brain models include: