MoBI 2024 pre-conference workshop
Thank you for your interest in contributing a workshop. Workshops can be scheduled online between 27th and 30th May 2024, the week before MoBI 2024. We encourage hosts to use various media, including recorded videos, live sessions (hands-on tutorial, QnA, breakout rooms, etc.) to interact with the attendees virtually.
Your workshop may be hosted in hybrid format, with an optional local in-person component in any region of choice around the globe. In this case, please indicate where it will take place and whether/how much the in-person participation will cost.
Note that,
Information from submitted forms will be publicized on the conference website upon acceptance.
Recommended length of a workshop ranges between 2 and 8 hours. Longer workshops can be broken down into multiple sessions & days (max. 4 hours per day).
In case of questions, please send an email to mobiconference@proton.me
*Workshop title :
MoBI Tools: Open Science tools for MoBI data collection,
formatting, annotation, analysis, and sharing.
Location: Anywhere in the world via Zoom: https://ucsd.zoom.us/j/94346490739
(One-time Zoom registration is required; you can only log in to the workshop with the same email that you registered)
Registration link: https://ucsd.zoom.us/meeting/register/tJAuc--spzstGd3hLawDenGcpiLptQsZiLI7
MoBI conference Discord server (to ask questions and connect)): https://discord.gg/cFRNTajaEh
Time:
May 28, 2024 to May 30, 2024, 14:30 to 18:30 Central Europe Summer Time.
*Name and affiliation of the lead host :
Scott Makeig, Swartz Center for Computational Neuroscience, UCSD, La Jolla, CA
*Short description (max. 150 words) :
The current sea change towards open science based on increasing numbers and quality of publicly available datasets linked to high-performance computing resources, is changing the computational neuroscience and MoBI landscape. Multi-modal MoBI datasets that were once “too inconvenient” for nearly any laboratory to collect or process can now be hosted without charge on public repositories and processed conveniently using public computing resources, hastening the development and testing of new, more sophisticated analysis approaches to better understanding links between cognition, brain dynamics ,and behavior. Here, three half-day ‘MoBI Tools’ workshops will show attendees why and how to use open tools for collecting, formatting, sharing, and analyzing multimodal MoBI data.
MoBI Tools I: Efficient MoBI data collection using the Lab-Streaming Layer
The Lab Streaming Layer (LSL) is an open-source software framework typically used in research environments, designed for the real-time collection and synchronization of time series data across any number of different recording devices. It is especially useful for setting up experiments involving concurrent biobehavioral signal collection, enabling efficient, synchronized data integration from multiple sensors and devices running on different clocks. The workshop will describe and illustrate the best practices for using LSL to set up, record, and process multimodal MoBI experiments.
Program (start time Slovenia time, duration + QA time):
Moderator: Scott Makeig (14:30, 15+0)
*Keywords: multimodal recording, data synchronization, Lab Streaming Layer, LSL
MoBI Tools II: Recording ‘What happened?’ using Hierarchical Event Descriptors
The system of Hierarchical Event Descriptors (HED) is the only proposed and organized method for annotating events occurring during collection of time series data. HED provides a structured, systematic way to describe the types and properties of events captured in EEG data using descriptive tag hierarchies. HED annotation enables precise and consistent annotation of EEG datasets using a common vocabulary and syntax, facilitating better data analysis, sharing, and interpretation across studies and researchers. As such, HED i\ event annotation is accepted in all the BIDS specifications. The workshop will present an overview of the HED annotation system and tools, and will show how to incorporate HED annotation into your laboratory workflow.
Program (start time Slovenia time, duration + QA time):
MoBI Tools III: Open-Science MoBI. Using open data archives and computational resources (half-day workshop)
The rise of neural and neurally-inspired computation has been likened in importance to the Industrial Revolution in the 18th and 19th centuries. Making the data and computing resources required publicly available to scientists working for the public good can increase the breadth and pace of scientific understanding. In the U.S., NEMAR.org, the ‘NeuroElectroMagnetic data Archive and tools Resource’ is a platform designed to support storage, sharing, informed search for, and analysis of EEG, MEG, and iEEG data deposited into the OpenNeuro.org resource. The OpenNeuro archive collects and shares neuroimaging data formatted using the BIDS data formatting specifications. The NEMAR data portal provides researchers with access to the large and growing collection of OpenNeuro EEG/MEG/iEEG and MoBI datasets (currently 267 studies of 12k+ participants occupying 25+TB), with a tight link to freely available computational tools and high-performance computing resources for analyzing these (or other) data directly via NSG (The Neuroscience Gateway, nsgportal.org). The U.S. BRAIN Initiative-funded NEMAR project aims to facilitate collaborative neuroscience research and enhance our understanding of the brain by making these complex datasets more accessible to and usable by researchers worldwide. In Canada, EEGNet and CBRAIN provide similar opportunities, including large EEG datasets collected in several countries. The workshop will show how to use OpenNeuro /NEMAR / NSG (and/or EEGNet / CBRAIN) to share or discover, download or process directly EEG, MEG, iEEG, and MoBI datasets.
Program (start time Slovenia time, duration + QA time):
(Please indicate preferred days/time slots for your sessions. The schedule can be further coordinated upon acceptance of the workshop proposal.)
27th | 28th | 29th | 30th | |
09:00-12:00 | [BIDS Motion] | |||
02:30-6:30 | MoBI Tools I Using the Lab Streaming Layer | MoBI Tools II Using Hierarchical Event Descriptors | MoBI Tools III Open Science MoBI using NEMAR / NSG |
MoBI students and researchers with basic experience of EEG processing.
*Expected knowledge:
Experience with processing EEG data, basic knowledge of linear algebra and statistical design, and experience in using command line (shell) scripting or programming.
Further comments to organizers: We propose three late (14:30-18:30) afternoon workshop sessions to accommodate a (near) waking schedule (05:30-09:30 AM) for California-based presenters.