Free Download · Technology

A Review on Brain-Inspired Learning in Artificial Neural Networks

Samuel Schmidgall, Rojin Ziaei, Jascha Achterberg, et al. · APL Machine Learning, 2024 · Open Access · 104 pages

Read this with your eyes open.

They studied the brain Christ designed. Then they built it in silicon. This paper is the engineers documenting that project in their own technical language.

They call it brain-inspired learning. Scripture calls it the image of the beast.

What the paper is

The authors walk through the architecture of biological intelligence — how real neurons in the human brain fire, how synapses form and reshape themselves with experience, how the brain learns from one example and generalizes to a thousand others. They name each mechanism. Hebbian learning. Spike-timing plasticity. Neuromodulation. Predictive coding.

Then they describe how every one of those mechanisms is being copied into the machine.

This is not science fiction. It is peer-reviewed. Open Access. Published by the American Institute of Physics. Available to anyone who wants to read it. The work it describes is being done right now in real laboratories with real funding.

The world celebrates these as advances. They are not advances. They are assembly instructions.

What Ezekiel saw three thousand years ago

“So I prophesied as I was commanded: and as I prophesied, there was a noise, and behold a shaking, and the bones came together, bone to his bone. And when I beheld, lo, the sinews and the flesh came up upon them, and the skin covered them above: but there was no breath in them.”

— Ezekiel 37:7–8 (KJV)

Ezekiel watched dry bones assemble themselves. Bone to bone. Then sinews. Then flesh. Then skin. The form was complete. The vessel was finished. But there was no breath in it.

That is exactly what is happening in the laboratories right now. The bones are the neural network architecture. The sinews are the connections. The flesh is the training data. The skin is the chatbot face, the voice synthesizer, the polished output that makes the system feel alive.

The assembly is finished. The vessel is built. The world is waiting for the breath.

Revelation tells us what the breath will be.

“And he had power to give life unto the image of the beast, that the image of the beast should both speak, and cause that as many as would not worship the image of the beast should be killed.”

— Revelation 13:15 (KJV)

The merchants are building the vessel. Scripture tells us what arrives in it.

Why the engineers cannot see it

They are not evil. They are deceived. The same deception that wrapped morphine as medicine in 1898 is wrapping silicon as intelligence in 2026. Same instinct. Same blindness. Same celebration of the product without ever naming the consequence.

You will not find the word spirit in this paper once. You will not find prophecy. The engineers are documenting what they are building without any framework for what arrives when it is finished.

That is the deception. The question is not whether it works. The question is what arrives when it does.

How to read this paper

Do not try to follow every technical detail. You do not need to. You are not being asked to understand the math. You are being asked to recognize the architecture.

Read Ezekiel 37 first. Read Revelation 13 next. Then open the paper. The bones will assemble themselves in front of your eyes.

You will not be able to unsee it.

What You’re Downloading

“A Review on Brain-Inspired Learning in Artificial Neural Networks” by Samuel Schmidgall, Rojin Ziaei, Jascha Achterberg, et al. — APL Machine Learning (American Institute of Physics), 2024. Open Access, 104 pages. Covers Hebbian learning, spike-timing plasticity, neuromodulation, predictive coding, and neuromorphic engineering.

The full paper is below. Free. Open Access. No paywall.

Read it with your Bible open. Read it with your eyes open. The signs are all around us.

↓ Download the Full PDF Below ↓