Automated quality control, curation and neuron classification of spike-sorted electrophysiology data

Region Of Interest Classification and Tracking

GPU code for spike sorting

Bayesian learning and inference for state space models

VICReg official code base

An open source implementation of CLIP.

A Python-based module for creating flexible and robust spike sorting pipelines.

Laplace approximations for Deep Learning.

NeuroPyxels (npyx) is a python library built for electrophysiologists using Neuropixels electrodes. This package stems from the need of a pythonist who really did not want to transition to MATLAB t…

LaTeX templates for manuscripts. bioRxiv preprint and journal submission templates. For use on Overleaf.

Elephant is the Electrophysiology Analysis Toolkit

Ephys toolbox to match single units (electrophysiology) either within the same day (over splits) or across two days

Uniform Manifold Approximation and Projection

A curated list of awesome Neuropixels resources.

A PyTorch implementation of the 1d and 2d Sinusoidal positional encoding/embedding.

An implementation of 1D, 2D, and 3D positional encoding in Pytorch and TensorFlow

Code to accompany the textbook "Modeling Neural Circuits Made Simple"

A collection of research on spatio-temporal data mining

KDD'22 Tutorial: Robust Time Series Analysis and Applications An Industrial Perspective

EEGLAB is an open source signal processing environment for electrophysiological signals running on Matlab and developed at the SCCN/UCSD

This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow

A list of all public EEG-datasets

Teaching Materials for UCL BASc QM2 Course

Partial set of hardware designs for a Meta-developed brain computer interface (BCI) research prototype system (Spotlight).

Training and evaluation pipeline for MEG and EEG brain signal encoding and decoding using deep learning. Code for our paper "Decoding speech perception from non-invasive brain recordings" published…

Fast spike sorting with drift correction for up to a thousand channels

Benchmark your model on out-of-distribution datasets with carefully collected human comparison data (NeurIPS 2021 Oral)

ImageNet classifier with state-of-the-art adversarial robustness