neuropixels

Automated quality control, curation and neuron classification of spike-sorted electrophysiology data. Available in MATLAB and in Python.

A curated list of awesome Neuropixels resources.

Package for the data-driven representation of non-linear dynamics over manifolds based on a statistical distribution of local phase portrait features. Includes specific example on dynamical systems, synthetic- and real neural datasets.

CAD files for the Apollo Implant: a device for Chronic Neuropixels Implantation

A package to manage electrophysiology analysis.

A web-based, neural probe channel map editor for the Neuropixels probe.

Bonsai library for the Open Ephys Onix Acquisition System

Python-based toolkit to import and analyse Neuropixel probes data that was previously processed using Kilosort 3.0.

Multi-channel signal processing and spike sorting written once in CubeCL, run on any GPU (wgpu, CUDA, ROCm) or the CPU. Rust crates, Python package, command line.

Automatic detection of probe position from multiple camera views

Real-data IBL Neuropixels analysis of decision-related neural population geometry, decoding, and cross-temporal dynamics.

Benchmarking large-scale pretraining and across-animal transfer in multi-region Neuropixels recordings from the International Brain Laboratory.

Matlab user interface for the analysis of LFP and spike data from extracellular recordings supporting a variety of existing Python and Matlab tools.

Joint spike localization + motion drift correction for Neuropixels via self-supervised SLN + DREDge alternating optimization.

Falsification lab for a G2/SU(3) ≅ S⁶ conjecture about cortical dynamics. H1-spontaneous refuted 12/12 on Allen Neuropixels.

Curate single-units sorted with more than 80% accuracy (trained and tested against a large-scale biophysical ground truth model of the cortex) from other units, based on spike train and waveform-based quality metrics.

Lightweight automated pipeline for preprocessing, spike sorting, and synchronizing Neuropixels data.

A fast, memory-bounded Rust engine for electrophysiology signal processing — Neuropixels-scale, callable from Python.

Matlab functions to convert ecephys recordings and associated behavioural data to Neurodata Without Borders (NWB) file format

Visual tool for elecrophysiologists to inspect and filter units based on their response to stimulus