Embodied Drosophila: 138,639-neuron whole-brain connectome simulation (FlyWire v783) in a biomechanical body (NeuroMechFly v2 / MuJoCo). Vision, olfaction, gustation, flight, and emergent behaviors — all from the real connectome.

BrainX: Brain Simulation Ecosystem.

A persistent spiking neural network that lives on your desktop — 1,260 neurons, STDP learning, neuromodulators, and an LLM speech layer.

A real-time simulation of a virtual creature controlled by a spiking neural network built on biologically accurate mechanisms. The creature navigates a 2D world, forages for food, avoids predators and poisons, and learns from experience through dopamine-modulated synaptic plasticity.

NCP (Neuro-Cybernetic Protocol): a versioned, typed, cross-language wire contract for a running NEST neural simulation (spiking, binary, rate) to perceive and act through robots, UAVs, and analysis clients over Zenoh — safety-gated action plane, per-frame provenance. Rust SDK with Python/C++/TypeScript peers. Pre-1.0 (wire v0.5).

🧠 A biologically-accurate spiking neural network. Pure C99. No frameworks. No matrices. Neurons fire, learn, dream, and evolve. — Proprietary: Non-commercial use only.

Drosophila larva connectome (1,373 neurons, 22,400 synapses) drives a real-time MuJoCo physics body. Sensory input activates biologically accurate LIF neural circuits. Based on Winding et al., Science 2023. Built with Python, MuJoCo, and Qwen2.5 LLM.

Connectome-scale SNN simulation energy benchmarks — software ceiling analysis for Drosophila whole-brain on GPU

BraindGo db — Brain simulation database → Robot driving engine, from C. elegans to humanoid

Python bridge connecting BrainGo db to BAAIWorm 3D body simulation

Fork of Jessie940611/BAAIWorm with BrainGo db integration — C. elegans brain-body-environment model

基于FlyWire真实神经元数据的球形脑空间模拟器

A high-performance biological brain simulator (LIF & STDP) in C++/CUDA, designed for continuous neural evolution via GitHub Actions.

Pure GDScript neural network implementation for Godot Engine with real-time topology visualization.

Does human brain structure produce emergent functional organization? Miniature brain simulation with identical parameters everywhere — regions develop distinct roles purely from connectome topology.

A framework for constructing digital twins of brain dynamics. Reconstruct functional networks from signals and run simulations using coupled oscillator models.

Build and run an autonomous AI system that observes, learns, evolves, and updates its own code through interconnected specialized modules.