81 Open source projects that are alternatives of or similar to hnn-core

MATLAB / Octave tools for BIDS datasets

MNELAB – a GUI for MNE

eelbrain.readthedocs.io

MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python

Matlab toolbox for univariate and multivariate analysis of EEG data in the time and frequency domains

The Human Neocortical Neurosolver (HNN) is a software tool that gives researchers/clinicians the ability to develop/test hypotheses on circuit mechanisms underlying EEG/MEG data.

A C++ package for low-frequency bio-electromagnetism solving forward problems in the field of EEG and MEG.

MNE-BIDS is a Python package that allows you to read and write BIDS-compatible datasets with the help of MNE-Python.

🔧🧠 MEEGkit: MEG & EEG processing toolkit in Python 🧠🔧

An open software package to develop BCI based brain and cognitive computing technology for recognizing user's intention using deep learning

EntroPy: complexity of time-series in Python (DEPRECATED)

Python + EEG/MEG = PyEEG

A Collection Python EEG (+ ECG) Analysis Utilities for OpenBCI and Muse

BrainFlow is a library intended to obtain, parse and analyze EEG, EMG, ECG and other kinds of data from biosensors

A list of openly available datasets in (mostly human) electrophysiology.

Python machine learning package based on sklearn API for multivariate data processing and statistical analysis of symmetric positive definite matrices via Riemannian geometry

python implementations of Analyzing Neural Time Series Textbook

📊 EEG signal processing and machine learning in JavaScript

MNE-CPP: A Framework for Electrophysiology

SleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning Approach

With the Brain Powered honourscourse at the UvA we aimed to control a drone using brain signals, measured by means of EEG, only.

PyTorch implementation of TSception

A list of tutorials and other resources useful to learn open science and neuroimaging, EEG and MEG

A fullstack javascript app for capturing and visualizing OpenBCI EEG data

A list of openly available software tools for (mostly human) electrophysiology.

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

Real-time processing and plotting of data streamed over LSL, with a focus on student-led BCI projects.

Muse 2016 EEG Headset JavaScript Library (using Web Bluetooth)

The dynamic infrastructure framework for everybody! Distribute the workload of many different scanning tools with ease, including nmap, ffuf, masscan, nuclei, meg and many more!

A package for manipulating EEG data in R.

Parameterizing neural power spectra into periodic & aperiodic components.

Detect EEG artifacts, outliers, or anomalies using supervised machine learning.

A lightweight I/O utility for the BrainVision data format, written in Python.

Brainstorm software: MEG, EEG, fNIRS, ECoG, sEEG and electrophysiology

A set of functions for supervised feature learning/classification of mental states from EEG based on "EEG images" idea.

TAPAS - Translational Algorithms for Psychiatry-Advancing Science

[DEPRECATED: use MNE-Python] Python module to stream and analyze EEG data in real-time

A Python Toolbox for Statistics and Neurophysiological Signal Processing (EEG, EDA, ECG, EMG...).

Deep Learning with Tensor Flow for EEG MNE Epoch Objects

DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG

Python package for covariance matrices manipulation and Biosignal classification with application in Brain Computer interface

MSc thesis on: Classifying brain activity using EEG and automated time tracking of computer use (using ActivityWatch)

A Node.js library that reads your mind with Emotiv EPOC EEG headset

NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing

EEG Sleep stage classification using CNN with Keras

EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow

Microstate EEGlab toolbox

Mother of All BCI Benchmarks

The MATLAB toolbox for MEG, EEG and iEEG analysis

Connectome Mapper 3 is a BIDS App that implements full anatomical, diffusion, resting/state functional MRI, and recently EEG processing pipelines, from raw T1 / DWI / BOLD , and preprocessed EEG data to multi-resolution brain parcellation with corresponding connection matrices.

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

CS198-96: Intro to Neurotechnology @ UC Berkeley

Outdated, see new https://github.com/braindecode/braindecode

Web Bluetooth client for the Ganglion brain-computer interface by OpenBCI

Converting real-time EEG into sounds, music and visual effects

[IEEE TNSRE] "An Attention-based Deep Learning Approach for Sleep Stage Classification with Single-Channel EEG"

Open Source EIT system using Keithley 6221 current source and EEG systems

A convolutional neural network developed in python using the Keras machine learning framework used to categorize brain signal based on what a user was looking at when the EEG data was collected.

Visual EEG readings from the Muse EEG Headset

Interactive neuroscience tutorial app using Muse and React Native to teach EEG and BCI basics.