Quantum-Brain: Quantum-Inspired Neural Network Approach to Vision-Brain Understanding

Understand

Vision-brain understanding aims to extract semantic information about brain signals from human perceptions.

• Existing deep learning methods for vision-brain understanding are usually introduced in a traditional learning paradigm missing the ability to learn the connectivities between brain regions.
• Meanwhile, the quantum computing theory offers a new paradigm for designing deep learning models.
• Motivated by the connectivities in the brain signals and the entanglement properties in quantum computing, we propose a novel Quantum-Brain approach, a quantum-inspired neural network, to tackle the vision-brain understanding problem.