Hussaini Lab's Projects
BatchTINTV3 is A GUI created by the Taub Institute in order to create an end-user friendly batch processing solution to complement Axona's new command line modification of TINT.
This is a GUI that will allow the user to convert the raw (.bin) files from Axona's Tint software to their normal Tint format. This will allow the user to retroactively choose a threshold.
A Graphical User Interface that will convert the .bin data from Axona/Tint to .mda so it can be sorted by MountainSort, and then creates the appropriate sorted files.
Model discrete neuron firing rate data using a selection of modern regression techniques
A Python Spike Sorting Package designed to minimize time spent cleaning spikes in Tint.
A test directory for sharing and debugging code pertaining to head direction.
Python package designed to visualize Tint LFP data.
Repository for the NWB conversion and processing codes for the Hussaini lab. Currently in development. To install, clone this git repo and do `pip install -e hussaini-lab-to-nwb`
This repository contains a script for converting Intan formatted electrophysiology data to downsampled axona format (eeg and egf).
Graphical User Interface that will read Intan (.RHD) data, sort using MountainSort, and then create an output to Tint (the software we use to manually curate).
A custom IntanRecordingController.exe to record electrophysiology data from an Intan Recording Controller.
Custom RHD2000 USB software that includes a 24k Hz sampling frequency.
Electrophysiology tools, mountainlab processor library
Mountainlab processor that will perform simple method of masking out large amplitude artifacts.
MountainSort v4
This will contain the snippets version of the ml_ms4alg code.
Examples of using MountainSort spike sorting software.
Repository dedicated to code from a tutorial for using MountainSort with Windows 10 (using the WSL)
This is a full custom MountainSort pipeline that I use to analyze data using the ms4 algorithm.
This is the main pipeline for data analysis in the Hussaini Lab.
A fork of SignalStore for use as the NSK-Backend common repo.
Scripts from NeuroScikit 1.0
Source data
Neo is a package for representing electrophysiology data in Python, together with support for reading a wide range of neurophysiology file formats
Python-based module for extracting from, converting between, and interfacing with many common file formats in extracellular recording.
This package allows you to execute commands in the WSL terminal via Python 3.