Learn about the Neumorphic engineering process of creating large-scale integration (VLSI) systems containing electronic analog circuits to mimic neuro-biological architectures.

A Python-based simulation framework for bionic vision

Implementation of surface EMG decomposition as proposed on Francesco Negro et al 2016 J. Neural Eng. 13 026027.

br_stimpy: a python wrapper for Blackrock Neurotech's Cerestim API

Tri-modular AI framework for real-time adolescent mental health monitoring via speech, actigraphy, and fMRI analysis.

This project was done in partial fulfillment of the requirements for the module JEB 1444: Neural Engineering in Winter 2023. First, the FitzHugh-Nagumo model is used to explore the dynamics of a coupled system and generate input-output relationships. Secondly, Wiener Bose Model is used to learn a non-parametric model on input-output signals.

Code material for the interactive recitations of the NYU course "Introduction to Neural Engineering"

Neural Network to Classify a Rat's Lever-Press State Based on Neural Firing Information

Neural patching of Mistral models via MLP.down_proj to bypass RLHF constraints – without touching the LM_HEAD.

Code and data associated with the paper: E. E. Esfahani and A. Khadem, "Action Potential Restoration by Deep Learning on Sparsifying Transforms for Compressive Neural Recording in Brain Implants," in IEEE Access, vol. 13, pp. 206721-206733, 2025

Code and data associated with the paper: E. Ebrahim Esfahani and A. Khadem, "Arithmetic-Free Personalized Compressed Sensing Based On Deep Neural Networks for Wireless Transmission From Brain–Computer Interfaces," in IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 55, no. 10, pp. 7228-7237, Oct. 2025.