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Search results for python eeg

268 search results found

Mne Python ⭐ 2,449

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

Neurokit ⭐ 1,254

NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing

Brainflow ⭐ 1,138

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

Awesome Neuroscience ⭐ 974

A curated list of awesome neuroscience libraries, software and any content related to the domain.

Eegwithraspberrypi ⭐ 777

Open-Source board for converting RaspberryPI to Brain-computer interface

Braindecode ⭐ 638

Deep learning software to decode EEG, ECG or MEG signals

Arl Eegmodels ⭐ 622

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

Pyriemann ⭐ 574

Machine learning for multivariate data through the Riemannian geometry of positive definite matrices in Python

A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

Mother of All BCI Benchmarks

Muse Lsl ⭐ 488

Python script to stream EEG data from the muse 2016 headset

Open source driver for accessing raw data from the Emotiv EPOC EEG headset

YASA (Yet Another Spindle Algorithm): a Python package to analyze polysomnographic sleep recordings.

Deepsleepnet ⭐ 347

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

Parameterizing neural power spectra into periodic & aperiodic components.

Eegsynth ⭐ 294

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

Neurokit.py ⭐ 253

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

[IJCAI-21] "Time-Series Representation Learning via Temporal and Contextual Contrasting"

Eeg Conformer ⭐ 222

EEG Transformer 2.0. i. Convolutional Transformer for EEG Decoding. ii. Novel visualization - Class Activation Topography.

MNELAB – a GUI for MNE

Antropy ⭐ 203

AntroPy: entropy and complexity of (EEG) time-series in Python

Python Mindwave ⭐ 187

Python scripts to interface with the Neurosky Mindwave EEG Headset

Grasp And Lift Eeg Challenge ⭐ 179

Code and documentation for the winning sollution to the Grasp-and-Lift EEG Detection challenge

Timeflux ⭐ 150

The programming interface for your body and mind

Python Meegkit ⭐ 149

🔧🧠 MEEGkit: MEG & EEG processing toolkit in Python

Eegrunt ⭐ 147

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

Python + EEG/MEG = PyEEG

Bci Challenge Ner 2015 ⭐ 144

Code and documentation for the winning solution to the BCI Challenge @ NER 2015 : https://www.kaggle.com/c/inria-bci-challenge

Cloudbrain ⭐ 133

Platform for real-time wearables data analysis -- like EEG or ECG.

Autoreject ⭐ 132

Automated rejection and repair of bad trials/sensors in M/EEG

Neurora ⭐ 130

A Python Toolbox for Multimode Neural Data Representation Analysis - A Representational Analysis Toolbox for Neuroscience, including Neural Pattern Similarity (NPS), Representational Similarity Analysis (RSA), Spatiotemporal Pattern Similarity (STPS) & Inter-Subject Correlation (ISC)

Python 3x server to deliver neural EEG data to browser and generic clients via TCP stream.

Analyzing_neural_time_series ⭐ 124

python implementations of Analyzing Neural Time Series Textbook

Eeg Motor Imagery Classification Cnns Tensorflow ⭐ 118

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

Attnsleep ⭐ 113

[TNSRE 2021] "An Attention-based Deep Learning Approach for Sleep Stage Classification with Single-Channel EEG"

Python Brain-Computer Interface Software

Mne Bids ⭐ 110

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

Ai Nlp Paper Readings ⭐ 107

This is my reading list for my PhD in AI, NLP, Deep Learning and more.

Sleepeegnet ⭐ 106

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

A Python implementation of the Preprocessing Pipeline (PREP) for EEG data

Python Emotiv ⭐ 100

A Python module to access Emotiv EPOC EEG headset on Linux.

Eeg Atcnet ⭐ 100

Attention temporal convolutional network for EEG-based motor imagery classification

EEGraph: Convert EEGs to graphs with frequency and time-frequency domain connectivity measures.

Dyconnmap ⭐ 89

A dynamic connectome mapping module in python.

Autosleepscorer ⭐ 86

An open-source sleep stage classification Python package

Dl Eeg Review ⭐ 83

Supplementary material for systematic literature review on deep learning and EEG.

Eegtools ⭐ 83

Collection of Python modules for EEG analysis. Includes EDF+ and BDF loaders, scalp plots and commonly used spatial filters.

Eeg Transformer ⭐ 79

i. A practical application of Transformer (ViT) on 2-D physiological signal (EEG) classification tasks. Also could be tried with EMG, EOG, ECG, etc. ii. Including the attention of spatial dimension (channel attention) and *temporal dimension*. iii. Common spatial pattern (CSP), an efficient feature enhancement method, realized with Python.

Python EEG and ECoG analysis software by John Hunter et al

[TKDD 2023] AdaTime: A Benchmarking Suite for Domain Adaptation on Time Series Data

Tinysleepnet ⭐ 76

TinySleepNet: An Efficient Deep Learning Model for Sleep Stage Scoring based on Raw Single-Channel EEG by Akara Supratak and Yike Guo from The Faculty of ICT, Mahidol University and Imperial College London respectively

Mne Icalabel ⭐ 76

Automatic labeling of ICA components in Python.

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.

Machine Learning Course Projects ⭐ 68

Including some machine learning and artificial intellegent examples

Package to analyze EEG, ECoG and other electrophysiology formats. It allows for visualization of the results and for a GUI that can be used to score sleep stages.

Federated Transfer Learning For Eeg ⭐ 64

This is the code of the paper "Federated Transfer Learning for EEG Signal Classification" published in IEEE EMBS 2020 (42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society in conjunction with the 43rd Annual Conference of the Canadian Medical and Biological Engineering Society July 20-24, 2020 via the EMBS Virtual Academy)

Cnns On Chb Mit ⭐ 62

The project is about applying CNNs to EEG data from CHB-MIT to predict seizure

NeuroPy library written in python to connect, interact and get data from neurosky's MindWave EEG headset.

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

Eeg Explanation Model ⭐ 60

Classification and Explanation Model of Brain Signal based on Deep Learning Model

Eelbrain ⭐ 56

Eeg Gcnn ⭐ 56

Resources for the paper titled "EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Graph Convolutional Neural Network". Accepted for publication (with an oral spotlight!) at ML4H Workshop, NeurIPS 2020.

Pymindaffectbci ⭐ 55

Python SDK for high performance on-line Brain Computer Interface development.

Realtime Eeg Based Emotion Recognition ⭐ 55

Realtime emotion recognition from EEG data.

EEG/MEG Source Connectivity Toolbox in Python

Eeg_positions ⭐ 54

Compute and plot standard EEG electrode positions.

Bci Workshop ⭐ 53

Material for the BCI Workshop held at District 3 in May 2015 by BCI Montréal.

Deep learning for EEG analysis. This script was used to generate the results of the paper "Joint Optimization of Algorithmic Suites for EEG analysis" at EMBC 2014

P300 Cnnt ⭐ 52

1D Convolutional Neural Networks for P300 detection from EEG signals

Seizure Type Classification Tuh ⭐ 51

seizure type classification using TUH dataset

A library with tools for EEG analysis

Tsception ⭐ 50

PyTorch implementation of TSception

Representational Similarity Analysis on MEG and EEG data

Python tools associated with Muse headband

FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface

This repository contains the tensorflow implementation for our ICONIP-2018 paper: "Continuous Convolutional Neural Network with 3D Input for EEG-Based Emotion Recognition" (To appear...)

A time series signal analysis and classification framework

Hnn Core ⭐ 40

Simulation and optimization of neural circuits for MEG/EEG source estimates

Eeg Adapt ⭐ 39

Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".

Connectomemapper3 ⭐ 39

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.

Eeg_encoding ⭐ 38

Use DNNs to build encoding models of EEG visual responses.

Eeg_classification ⭐ 37

EEG Sleep stage classification using CNN with Keras

Multitaper_toolbox ⭐ 37

A multitaper spectral estimation toolbox implemented in Matlab, Python, and R

Neurotechx Mcgill 2019 ⭐ 36

A wheelchair controlled by EEG brain signals and enhanced with assisted driving

Eeg Feature Generation ⭐ 35

Generate statistical features from Electroencephalographic data

Emotion Classification ⭐ 35

Feature selection via dependence maximization for EEG based emotion classification.

Python package for power mapping and functional connectivity using DICS

Eeg_real_time_seizure_detection ⭐ 32

Real-Time Seizure Detection using EEG: A Comprehensive Comparison of Recent Approaches under a Realistic Setting

Muse Analysis Tools ⭐ 31

A set of tools to analyze and create charts from Muse EEG devices.

Neural networks for EEG-MEG decoding with MNE-python and Tensorflow.

Wizardhat ⭐ 31

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

Eeg Processing Python ⭐ 27

EEG analysis tools

Pycrostates ⭐ 27

Mind Controlled Robot ⭐ 27

Code used to control a hacked toy robot to with my brainwaves.

Research ⭐ 26

Motor Imagery Classification based on EEG at Columbia Medical Center

Python toolbox for EEG analysis

Ssvep Multi Task Learning ⭐ 25

Using multi-task learning to capture signals simultaneously from the fovea efficiently and the neighboring targets in the peripheral vision generate a visual response map. A calibration-free user-independent solution, desirable for clinical diagnostics. A stepping stone for an objective assessment of glaucoma patients’ visual field.

Eeg Based Emotion Analysis Using Deap Dataset For Supervised Machine Learning ⭐ 25

This project is for classification of emotions using EEG signals recorded in the DEAP dataset to achieve high accuracy score using machine learning algorithms such as Support vector machine and K - Nearest Neighbor.

Fbcsp Python ⭐ 25

Python implemementation of the FBCSP algorithm

Simple Framework for data acquisition (signal, video) in pure python.

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