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.

NCP (Neuro-Cybernetic Protocol): versioned, typed, cross-language wire contract for a running NEST neural simulation to perceive and act through robots, UAVs, and analysis clients over Zenoh — safety-gated action plane, enforced per-frame version + seq discipline, provenance. Rust SDK with Python/C++/TypeScript peers. Pre-1.0 (wire 0.6).

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.

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.

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.

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

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

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

Python bridge connecting BrainGo db to BAAIWorm 3D body simulation

An experimental, from-scratch Warhammer 40k Skitarii cyborg-brain emulator in Python. Each brain region's organic mass decides its processor: organic remnants run as LLM calls, excised regions as deterministic implants. The deliberately faithful, near-unreadable first take that the brain-emulation fork replaced.

Artificial-Cognitive-Brain is an advanced AI framework designed to simulate human-like cognition, reasoning, perception, learning, memory, and decision-making through modular and scalable intelligence architectures.

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.

A cognitive assembly line for LLMs: one thinking task split across tiny steps, each modelled on a brain region. Watch the thought flow region-by-region in a live, fMRI-style UI, and trace every answer back to the step that shaped it. Runs locally on Ollama.

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.