A DNN model of central auditory processing

Decoding neural activity into text

This repository contains extensive tools and scripts for processing and analyzing neurophysiological signals. The primary focus is on various critical aspects of neurophysiological data handling, including spike detection, feature extraction, clustering, and firing rate analysis.

Python code implementing the Similarity-Graph-Clustering (SGC) approach to detect neural assemblies in calcium imaging data.

A DNN-based hearing aid for restoration of central neural coding

Back up copies of some of the code I worked on during Neuromatch Academy 2022

🧠🌐 Neural Networks course portfolio: Python/MATLAB exercises with reproducible Poetry setup, plus per-exercise reports including plots, metrics, and logs from IF models to Hopfield and deep learning

Code published with the paper J. Mölter, L. Avitan, and G. J. Goodhill. "Detecting neural assemblies in calcium imaging data". BMC Biology 16:143 (2018) doi: 10.1186/s12915-018-0606-4.

Code repository for the "Principles for coding associative memories in a compact neural network" manuscript. Data can be found at the linked osf account.