A green pattern made up of frequencies. Photo by Logan Voss on Unsplash

Open Source Toolbox for FFRs

Project Description

The aim of this project is to develop an open source toolbox for analyzing frequency following responses (FFRs) to speech using a standardized pipeline and AI based approaches. FFRs are non-invasive neural responses to speech sounds that can be obtained by electroencephalography and are used to track the integrity of auditory processing in the brain.

Interns assist with developing Python code using deep learning models and developing user interfaces using pyQt to make these tools accessible to researchers with a varied range of expertise.

Mentor

Nike Gnanateja Gurindapalli

Interns

Chiranjeevi Vasant (Spring 2026)

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