Some of our projects that have turned into applications meant for general use:

Neural Efficient Coding (Jupyter Notebook)

Using a computational paradigm, we demonstrate how the sensory signals from the early visual and auditory systems can be understood using "efficient" coding strategies in neuroscience. Essentially, a sensory system can be derived as a result of (neurally) appropriate efficient coding of natural inputs around us. The demonstration is available as a readily-accessible Jupyter notebook that can serve students as well as researchers in understanding the link between computer science and neuroscience. Published in the Artificial Intelligence Review journal in 2021 (link to article).

Click here to access the data and code for the neural efficient coding demonstration.


Conversation Moderator

Dashboard for Music-Induced Hearing loss

Gesture Recognition App

Research and Projects Portal (internal)

Topic Modeling

Biomarker Detection App


Neural Efficient Coding (Android App)

Dual Reinforcement Learning App