Stars
A Python-based module for creating flexible and robust spike sorting pipelines.
AIND pipeline for processing extracellular electrophysiology data
Package for automatic post-processing and merging of multiple spike-sorting analyses.
An automated, end-to-end, machine-learning-based spike sorting pipeline following the DeepCluster method
NWB GUIDE is a desktop app that provides a no-code user interface for converting neurophysiology data to NWB.
Quantized Fourier Compression of Timeseries Data with Application to Electrophysiology
NEural MOdelS, a statistical modeling framework for neuroscience.
Neuroscience data analysis framework for reproducible research built by Loren Frank Lab at UCSF
Browser-based NWB visualization and DANDI exploration
Analyze neuroscience data in the cloud
Typed Argument Parsing with Pydantic
Repository to track review of NWB Extension Proposals (NWBEPs)
pathlib api extended to use fsspec backends
Collection of standardized analysis pipelines based on SpikeInterface
Neo is a package for representing electrophysiology data in Python, together with support for reading a wide range of neurophysiology file formats
CodeOcean capsule for full electrophysiology analysis pipeline using Kilosort2.5 via SpikeInterface.
Code to create geometry files for sorting from SpikeGLX metadata
Lossless event based rotary encoder+button library for Arduino and Teensy
Gaussian process current source density estimation
Standard MIDI Files (SMF) Processing Library
Repository for collecting analytics and scripts related to the NWB project.
Spike sorting : how good are we to correct for motion ?
Collection of probe description for probeinterface
A tool to streamline extracellular electrophysiology analysis using SpikeInterface