A Domain-Specific Language (DSL) is a programming language tailored to a specific field to solve problems more effectively. In neuroscience, current tools for modeling neural circuits are often too rigid (predefined model classes) or opaque (black-box neural networks). NeuroCircuitDSL addresses this by introducing a flexible DSL for representing neural populations, synaptic interactions, and network dynamics. This approach offers a more transparent and customizable alternative to existing models, supporting deeper insights into brain function and disease. Additionally, this project will contribute to the growing field of computational neuroscience by leveraging advanced machine learning techniques to generate novel neural circuit architectures.

I’m always excited to investigate problems in applied computer science! I took a compilers class (6.110) last year which exposed me to the beauties of computer language construction. This project is a very unique opportunity to explore all of my interests: computational biology, computer languages, and natural language processing. In doing so, I hope to make a significant contribution to domain specific language and neuroscience research.