Please join us at the workshop titled: "Neuroscience Gateway - Software Dissemination, Large-Scale Neuronal Modeling, Data Processing on Supercomputers", at SfN2023.
Workshop date/time: November 11, 2023; 8:30am - 12:30pm
Location: George Washington University, B1220, Science and Engineering Hall, 800 22nd St NW, D.C.
https://www.seas.gwu.edu/science-and-engineering-hall

There is no charge to attend the workshop but given the limited space, we are requiring interested attendees to please register. Full agenda, with title of talks, speakers, abstracts etc. and link to the registration page is here: https://www.nsgportal.org/SfN2023_NSGWksAgendaWLogo.htm

List of talks and speakers:

Title: Human Neocortical Neurosolver: A Software Tool for Cell and Circuit Level Interpretation of MEG/EEG signals

Stephanie Jones, Nicholas Tolley, Dept of Neuroscience, Brown University

Title: NIH BRAIN Initiative (Part I): The convergence of modeling and data science in the NIH BRAIN Initiative

Grace C.Y. Penga, Susan N. Wrightb, Hermon Gebrehiwetc

NIH BRAIN Initiative (aNational Institute of Biomedical Imaging and Bioengineering (NIBIB), bNational Institute on Drug Abuse (NIDA), c National Institute of Neurological Disorders and Stroke (NINDS)

Title: NIH BRAIN Initiative (Part II): Data science across the NIH BRAIN initiative brain circuits projects

Manuel Schottdorf1, Guoqiang Yu2, Edgar Y. Walker3

NIH U19 Data Science Consortium (1Princeton, 2Virginia Tech, 3University of Washington)


Title: Modeling the development of the visual system: computational challenges vs high-performance computing

Ruben A Tikidji-Hamburyan and Matthew T. Colonnese,  Department of Pharmacology and Physiology, The George Washington University, Washington D.C., United States


Title: NIC: An integrated neuroinformatics tool for studying brain interaction dynamics in neurological disorders

Authors: Katrina Prantzalos1, Dipak Upadhaya1, Shafiabadi N1, Gurski N1, Fernandez-BacaVaca G1, Yoshimoto K2, Sivagnanam S2, Majumdar A2, Sahoo SS1

1Case Western Reserve University, University Hospitals Cleveland Medical Center; 2San Diego Supercomputing Center/University of California San Diego


Title: Whole brain connectome models mapping brain structure to function to study lifespan ageing and neurological diseases

 Arpan Banerjee1, Suman Saha1, Samuel Berkins1, Anagh Pathak1, Neeraj Kumar1, Priyanka Chakraborty1, Varun Madan Mohan1, Anirudh Vattikonda1, Amit Naskar1, Dipanjan Roy1,2

1. National Brain Research Centre, NH 8 Manesar, Gurugram 122052, India

2. Indian Institute of Technology Jodhpur, NH 62, Jodhpur, India


Title: The role of computational models in experimental research: predictive vs. explanatory power

 Sherif M. Elbasiouny1,2 and Mohamed H. Mousa1

 1Department of Neuroscience, Cell Biology, and Physiology, Boonshoft School of Medicine and College of Science and Mathematics

Wright State University, Dayton, OH, United States

2Department of Biomedical, Industrial, and Human Factors Engineering, College of Engineering and Computer Science

Wright State University, Dayton, OH, United States


Best regards. 

Workshop Organizers
Amit Majumdar, Subha Sivagnanam, Kenneth Yoshimoto, University of California San Diego
Ted Carnevale, Yale University