Human Cognition

Human cognition research currently focuses on understanding the similarities and differences between human thought processes and those of large language models (LLMs), particularly exploring how LLMs handle uncertainty, stress, and complex reasoning tasks. Researchers utilize various deep learning architectures, including transformers, to analyze neuroimaging data (fMRI) and model human cognitive processes like attention, memory, and decision-making, often comparing LLM performance to human benchmarks across diverse cognitive tasks. This interdisciplinary field aims to improve AI systems by aligning them more closely with human cognition and, conversely, to gain a deeper understanding of the human mind through the lens of artificial intelligence.