IEEE Brain Discovery & Neurotechnology Workshop 2024

IEEE Brain Discovery and Neurotechnology Workshop
October 3-4, 2024
University of Illinois, Chicago

Save the Date!

Advances in understanding the brain both in healthy individuals and those suffering from a disorder have led to groundbreaking discoveries and engineering solutions. Together these advances hold the potential to ameliorate a wide range of neurological disorders and diseases and improve quality of life for those with neurological conditions. However, there are still many unanswered questions including the underlying causes of disease and disorders and the relationship of brain function to behavior. Development and deployment of effective neurotechnology and means of studying the brain through neuroimaging techniques and machine learning will require an integrated approach as well as close collaboration among the neuroengineering community, neuroscientists, and clinical practitioners. The goal of this workshop is to bring together researchers and practitioners across academia, industry, and the clinical profession to highlight innovative neurotechnology and brain research methods, emphasizing their potential to improve understanding of the brain and address a wide range of disorders to improve the human condition.

This workshop is a satellite event to the 2024 Society for Neuroscience Conference and will be held on the campus of the University of Illinois, Chicago. The program will consist of three symposiums covering emerging neurotechnologies, machine learning and computer paradigms for brain discovery, and clinical applications and impact. Each symposium will include a keynote speaker and invited speakers who will discuss their work in the context of larger issues in each of these topic areas. The program also includes lunch sessions highlighting the ethical implications of neurotechnology and new efforts in developing neuroethics standards, exhibits from industry, networking opportunities, and poster presentations.

Registration and Sponsorship information will be available June 2024.

Program Committee

General Chairs
Selin Aviyente, Michigan State University
Esra Tasali, University of Chicago

Program Chairs
Emerging Neurotechnologies: Wen Li, Michigan State University
Machine Learning and Computer Paradigms for Brain Discovery: Sergey Plis, TReNDS Center & Georgia State University
Clinical Applications and Impact: Ravi Hadimani, Virginia Commonwealth University

Local Chairs
Hananeh Esmailbeigi, University of Illinois, Chicago
James Patton, University of Illinois, Chicago

Advisory Board
Gert Cauwenberghs, UC, San Diego
Rikky Muller, UC Berkeley
Damien Coyle, University of Bath, UK
Natalie Mrachacz-Kersting, Albert-Ludwigs University Freiburg, Germany
Metin Akay, University of Houston
Tülay Adali, University of Maryland, Baltimore County

Cynthia Weber, Program Manager, IEEE Brain

Thanks to Our Partners

We would like to thank the IEEE Member Societies and Associations for their support of IEEE Brain.

IEEE Brain Discovery and Neurotechnology Workshop Symposiums

Emerging Neurotechnologies

In recent years a range of new neurotechnology innovations have emerged to enable neuroimaging and neural recording and interfacing at multiple scales in variety of settings—in the lab, in the clinic, and in the wild—including low-cost wearable electroencephalography (EEG), ultra-high density EEG, stereoelectroencephalography (sEEG), advanced functional near infrared spectrography (fNIRS) and functional magnetic resonance imaging (fMRI), functional ultrasound imaging (fUS),  optically pumped magnetometer magnetoencephalography (OPM-MEG), neural lace, neural dust, stent-electrode recording arrays (stentrodes) and endovascular recording techniques, multielectrode arrays, elecrtocorticographic (ECoG) arrays, multi-photon optics for high-throughput/high-resolution functional brain imaging, and optogenetics. This session aims to present examples of the latest scientific studies involving a selection of these approaches as well as discussion surrounding feasibility of development within the next 5-10 years and major opportunities and challenges in deploying these technologies.

Machine Learning and Computer Paradigms for Brain Discovery

Advances in noninvasive neuroimaging technology such as magnetic resonance imaging and magnetoencephalography have enabled the study of both the healthy and disordered human brain with increasing temporal and spatial resolution. Neuroimaging data poses some unique challenges such as low signal-to-noise ratio, small sample size, and high dimensionality. Recent methodological advances in machine learning have enabled the analysis of brain data across multiple scales and modalities. Current challenges and problems of interest include: neuromorphic systems engineering for brain-inspired natural intelligence; development of interpretable deep learning architectures for learning from neural data; network neuroscience for functional/structural connectivity network analysis, i.e., brain connectomics, across time and subjects; variability of brain networks across subjects; multimodal data fusion; classification and prediction of health status or specific outcomes through biomarker identification. This session aims to present examples of the latest research in machine learning and computer paradigms for brain discovery involving a selection of these approaches as well as discussion on challenges and opportunities, including the transition to clinical practice and applications such as preventive predictive actions.

Clinical Applications and Impact

The first demonstration of a technology for a clinical application with impact was deep brain stimulation for Parkinson’s disease. Interestingly, it took less than 25 years for this technology to become established with more than 80,000 patients having received an implant by 2010. Technologies that restore, replace, or enhance human nervous system function are emerging fast but few are used in daily clinical practice or at home. In this symposium, we will be presenting some of the most promising technologies that have broad clinical application prospects and discuss their remaining important challenges. These include optogenetics-based therapies, where recent advances in optogenetic real-time monitoring and therapeutic interventions have opened up the possibility for providing a complementary treatment following brain injury; neuroprosthetics for the restoration of vision, hearing, or motor function; as well as neuromodulation devices such as brain-computer-interfaces, and more.

More information coming early June.

Student Services Building
University of Illinois, Chicago
200 W. Harrison St, Chicago IL 60607

General Program

Day 1: Thursday, October 3, 9:00 – 7:00

9:00 Welcome and Opening Remarks
9:15 – 12:15 Symposium 1: Emerging Neurotechnologies
12:15 – 12:45 IEEE Brain Neuroethics Framework
12:45 – 2:00 Lunch Session (lunch provided)
2:00 – 5:00 Symposium 2: Machine Learning and Computer Paradigms for Brain Discovery
5:00 – 5:30 Poster Session Introductions
5:30 – 7:00 Poster Session, Reception, Exhibits

Day 2: Friday, October 4, 9:00 – 5:30

9:00 Welcome to Day 2
9:15 – 12:15 Symposium 3: Clinical Applications and Impact
12:15 – 12:45 Live Demonstration Introductions
12:45 – 2:00 Live Demonstrations and Lunch Session (lunch provided)
2:00 – 3:30 Panel Discussion
3:30 – 4:30 Light Reception, Exhibits
4:30 – 5:30 Awards and Closing Remarks

All times are Central US Time.

More information coming early June.