This innovative research project aims to overcome the time and space constraints of brain information by using generative AI to explore and externally digitize patterns of neural activity, using an inverse search method rather than the traditional bottom-up approach to unlock the workings of the brain and advance digital twin technology. Key areas of focus include "movement generation" to replicate limb movement by stimulating the motor cortex in rats, "sensation generation" to evoke sensory experiences by mimicking stimuli, and "cognition generation" to improve "place recognition" by stimulating the hippocampus.