The study of the functional connectome, which maps the functional connections between different brain regions, has provided valuable insights.
Neural networks, inspired by the brain's architecture, have achieved notable success in diverse applications but are often noted for their lack of interpretability.
A novel approach is proposed to bridge neural networks and human brain functions through brain-inspired techniques.
The approach enhances the interpretability of neural networks, providing a deeper understanding of their underlying mechanisms.