The Intersection of AI and LLMs in Neuroscience and Human Research

The advent of generative AI and Large Language Models (LLMs) has transformed many fields, including computer vision, chatbots, and imaging processing. Such models entail significant interaction with humans and impact many aspects of research and life, opening new avenues for exploration and understanding. Notably, by engaging with LLMs, individuals are exposed to a unique cognitive experience involving language comprehension, generation, and decision-making. This interaction not only provides insights into the underlying cognitive processes of human language understanding but also offers an opportunity to investigate how the brain adapts and responds to the dynamic interplay between human cognition and AI-driven language models. On the other hand, the utilization of LLMs in neuroscience research has revolutionized the field, offering novel avenues for exploration and understanding. These models, powered by advanced natural language processing capabilities, enable researchers to analyze and extract valuable insights from vast amounts of neuroscience literature. By employing techniques such as text mining, semantic analysis, and knowledge extraction, large language models facilitate the identification of patterns, relationships, and trends within the vast landscape of neuroscientific knowledge. They provide a powerful tool for discovering hidden connections, generating hypotheses, and informing further investigations. Moreover, LLMs assist in the interpretation of neuroimaging data by leveraging their language understanding capabilities to uncover meaningful patterns and extract contextual information.

The proposed Research Topic focuses on the exciting intersection of AI and LLMs in neuroscience and human research.

We invite you to contribute your groundbreaking work to this publication. We seek original research papers, review articles, or case studies that explore the following (but not limited to) topics:

· Studying the psychological, cognitive, and behavioral impact of the interactions among LLMs/AI and humans.

· Applying natural language processing techniques to analyze and extract knowledge from neuroscience, brain imaging, and therapeutics literature.

· Investigating the ethical considerations and challenges associated with the use of AI and LLMs in neuroscience research, like privacy and fairness.

Keywords: Large Language Models, Artificial Intelligent, Natural Language Processing

Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.