Reverse predictivity for bidirectional comparison of neural networks and biological brains

Researchers have discovered "reverse predictability" in bidirectional comparisons between artificial neural networks and biological brains. This breakthrough reveals that neural networks can predict brain activity patterns, and conversely, brain data can predict how artificial networks respond. This mutual predictability suggests fundamental similarities in how biological and artificial systems process information, offering new insights into machine learning optimization and neuroscience...