Large Language Models Align with the Human Brain during Creative Thinking

ArXi:2604.03480v1 Announce Type: cross Creative thinking is a fundamental aspect of human cognition, and divergent thinking-the capacity to generate novel and varied ideas-is widely regarded as its core generative engine. Large language models (LLMs) have recently nstrated impressive performance on divergent thinking tests and prior work has shown that models with higher task performance tend to be aligned to human brain activity. However, existing brain-LLM alignment studies have focused on passive, non-creative tasks.