A team at Eon Systems PBC, led by senior scientist Philip Shiu, has demonstrated the world’s first embodied whole-brain emulation. Not an AI trained to mimic biology. Not a reinforcement learning policy. A literal copy of a biological brain, neuron by neuron, synapse by synapse, running inside a physics-simulated body.
In 2024, Shiu and collaborators published in Nature a computational model of the entire adult fruit fly brain—125,000 neurons and 50 million synaptic connections—built from the FlyWire connectome and machine learning predictions of neurotransmitter identity. That model predicted motor behavior with 95% accuracy. But it was disembodied: a brain without a body.
Now, the ghost has found its machine. Using the NeuroMechFly v2 framework and MuJoCo physics simulation, Eon integrated the connectome-based brain emulation with a digital fly body. Sensory input flows in, neural activity propagates through the complete connectome, motor commands flow out, and the simulated body moves.
And here’s the jaw-dropper:
Scientists just copied a fruit fly’s brain into a computer. Neuron by neuron. No training data. No machine learning.It woke up and started walking. No one taught it to walk. No gradient descent. It just… knew what to do.
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