Incorporating Large Language Models (LLMs) into Modern Neuroscience

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Background

Large Language Models (LLMs) are generative AI models that are able to produce natural language text interactively with users. By interacting with LLMs in a programmatic way, there are a variety of data summarization and extraction processes that can be reliably automated. We are exploring possibilities of extracting study specific data for conducting meta-analyses.

In general, we are looking to establish expertise working with this increasingly popular and transformative technology so we can understand how to safely and ethically incorporate it into our work.

Projects

• reviewer2go: a series of prompts and queries for producing a simple report of the COBIDAS criteria from a published paper.
• Google Summer of Code (GSoC) Internship: we have proposed and hope to supervise 2 different GSoC interns working on incorporating LLM features into NeuroBagel as part of the annotation and query process.

People

Brent McPherson

Postdoctoral researcher

Kendra Oudyk

PhD student

Arman Jahanpour

Research Software Developer