![]() ![]() ![]() The InteraXon MUSE streams EEG over bluetooth. present ( duration = record_duration, eeg = eeg_device, save_fn = save_fn ) # Load recorded data raw = load_data ( subject, session, board_names, experiment ) MUSE Requirements # Imports import os from eegnb import generate_save_fn from import EEG from _n170 import n170 from import load_data # Define some variables board_name = 'muse' # board_name = 'cyton' experiment = 'visual_n170' session = 999 subject = 999 # a 'very British number' record_duration = 120 # Initiate EEG device eeg_device = EEG ( device = board_name ) # Create output filename save_fn = generate_save_fn ( board_name, experiment, subject ) # Run experiment n170. Use the following commands to download the repo, create and activate a conda or virtualenv virtual environment: If you don’t already have a Python installation, grab the latest miniconda version for your operating system from here ( ). We highly recommend making use of a virtual environment (either conda or virtualenv) when installing eeg-notebooks. ‘Usage mode 2’ above (no EEG recordings) can be done easily on any operating system without any extra hardware or software, as well as on free temporary cloud compute servers through Binder and GoogleColab, which we provide instructions for. OpenBCI recordings work the same for all operating systems, and do not require any additional hardware or software. The BLED112 dongle bypasses the native bluetooth hardware, which is not compatible with muse device streaming. Muse 2016, Muse 2, and Muse S recordings on Mac require a BLED112 dongle (see below). Bluemuse deals with establishing a connection between the eeg device and the stimulus-delivery laptop/desktop. Muse 2016, Muse 2, and Muse S recordings on Windows require the third-party streaming tool BlueMuse. These requirements, which are device- and operating system-specific, are as follows: Not making EEG recordings, and analyzing existing (either previously recorded or public-domain) dataĪs may be expected, the installation and setup steps for mode 2 are simpler than mode 1, with the difference being additional hardware and software requirements for measuring, streaming and recording EEG data. Making new EEG recordings, and analyzing the newly recorded data A secondary, complementary, purpose of the tool is to provide various functionalities for the organization, analysis and visualization of the data collected in these experiments.Īs such, there are two principal modes of usage: The principal purpose of EEG-Notebooks is to allow users to run and create cognitive neuroscience experiments using consumer-grade EEG systems. ![]() For users who prefer to use VirtualEnv ( venv) than conda for Python environment management, we provide equivalent installation and usage instructions where relevant. If you do not have Python installed, or are not particularly familiar with using it, then we highly recommend downloading and installing the Miniconda(3) Python(3) distribution. It runs on all major operating systems (Windows, Linux, Mac). Make use of your newfangled knowledge!ĮEG-Notebooks is a Python library. Upload your zipped data file to your personalized URL After recording, locate and zip your recorded data Set up environment and install eeg-notebooks About the EEG-notebooks Documentation Pages.Adjusting and fitting the MUSE for better signal quality.Headband fit and signal quality tutorial.Cueing Behavioural Analysis Winter 2019.Now we compute and plot the differences.Unvalidated Experiments and other phenomena.Using Jupyter Notebooks or a custom script.Finding the USB port of the OpenBCI USB dongle.Initiating a Muse stream in Windows using Bluemuse. ![]()
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