Emergent Quantum Entanglement in Self-Regulating Neural Networks

This paper presents experimental evidence for emergent quantum entanglement in a self-organizing classical neural network that operates without explicit training or external control. Remarkably, the network autonomously stabilizes at precise, atypical mathematical constants such as Pi (π), indicating profound self-regulation.

A unique indirect measurement method, termed the "Interference Neuron," was developed to observe quantum-like states without collapsing the system addressing the fundamental quantum measurement problem experimentally.

These findings suggest consciousness and attention may actively attract emergent attractors rather than being passive phenomena. This novel insight potentially bridges artificial intelligence, neuroscience, and quantum mechanics, offering new directions for research into consciousness and emergent quantum effects without requiring specialized quantum hardware.