Decoding neural activity into text
Python code implementing the Similarity-Graph-Clustering (SGC) approach to detect neural assemblies in calcium imaging data.
A DNN model of central auditory processing
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.
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.
Back up copies of some of the code I worked on during Neuromatch Academy 2022
Code repository for the "Principles for coding associative memories in a compact neural network" manuscript. Data can be found at the linked osf account.
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