Neuroscience Gateway and Electroencephalography Data Processing

This workshop will provide an introduction to large-scale computing resources available at NSF funded academic supercomputer centers for research and education. It will present the Neuroscience Gateway (NSG) a cyberinfrastructure resource that makes it easy for neuroscientists to use neuroscience software for modeling and data processing on computing resources. NSG is used for research and education by the neuroscience community. Second part of the workshop will introduce and explain the topic of electroencephalography (EEG) for neuroscientists. It will describe how EEG data is collected and analyzed using a widely used EEG data processing software called EEGLAB. It will show how to record electrical activity of the brain and various filtering done on EEG data, using EEGLAB, and how to analyze the data and relate to brain waves.

Learn about the whole summer series here: https://hsistemhub.org/2021-summer-stemed-workshops/

Goals of the Workshop

Attendees will learn about:

1. Freely available NSF funded large scale computing resources available for classroom teaching and education;
2. Neuroscience Gateway which specifically provides modeling and data processing neuroscience software for neuroscientists; and
3. Electroencephalography (EEG) – the theory behind EEG, how EEG data can be collected and processed to tie to activities that generate EEG signals.

Tentative Schedule

At this time the schedule is tentative.

1. Introduction to supercomputing and NSF funded supercomputing resources
2. Introduction to the Neuroscience Gateway (NSG) and use of the NSG
3. Introduction to Electroencephalography (EEG), data collection by EEG devices, and processing of EEG data to identify brain waves

Eligibility

Enrollment is free and is limited to 20 participants per workshop. It is hoped that the small workshop size will facilitate networking and promote collaboration across institutions by individuals who share common interests in research and education.

Participation priority is for current HSI faculty and staff who teach undergraduate STEM courses. Non-HSI faculty staff who teach undergraduate STEM courses are eligible to apply if they: 1) currently collaborate as PIs/co-PIs on a funded or pending NSF EHR/DUE grant that includes HSI faculty/staff as PI/co-PIs or 2) would like to network to find HSI partners for future collaborative projects in education or research.

Admission priority is for faculty within the first 10 years of their first academic tenure-track appointment. Applicants should be aware that the selection process strives for diverse geographical and institutional representation.  The selection decision is final and summary reviews are not provided.

Apply

Submit your application at this link: https://www.surveymonkey.com/r/hsihub-2021STEMwkshops

Learning Objectives

1. Attendees will have information about how to get time on NSF supercomputer centers, how to access the NSF supercomputers, what support there are for using these computing resources for classroom teaching, and various kinds of computing and data related training that are provided by supercomputer staff
2. Attendees will be able to use the Neuroscience Gateway to run neuroscience modeling and data processing on supercomputers. NSG hides all the complexities of using supercomputers directly, and makes it easy for neuroscientists to use supercomputers for neuroscience work via NSG’s easy to use web portal.
3. Attendees will have good understanding about electroencephalography (EEG). They will know how to collect EEG data using EEG devices, how to process the data on laptops, desktops or supercomputers using EEGLAB which is a Matlab based EEG data processing software and most widely used for EEG data processing. This will motivate to include EEG as a course material in their neuroscience courses.