WE3.R2.121
Multi-Compartment Volume Conductor with Complete Electrode Model: Simulated Stereo-EEG Source Localization using Brainstorm-Zeffiro Plugin
Fernando Galaz Prieto, Tampere University, Finland; Takfarinas Medani, Chinmay Chinara, Richard M. Leahy, University of Southern California, United States; Sampsa Pursiainen, Tampere University, Finland
Session:
WE3.R2: Wednesday Posters Topic 4 Poster
Track:
Neural Computing and the Engineering of Adaptive Neural Systems
Location:
Poster and Exhibit Room
Presentation Time:
Wed, 12 Nov, 12:00 - 14:00 PT (UTC -8)
Presentation
Discussion
Resources
No resources available.
Session WE3.R2
WE3.R2.119: Robust EEG Functional Connectivity Metrics for Decoding Action Observation Conditions and Observed Actions
Anh T. Nguyen, Zachary Rentala, Michelle J. Johnson, University of Pennsylvania, United States
WE3.R2.120: Dynamic Relationship Between Brain And Cardiovascular Signals In Sleep Apnea: A Granger Causality Approach
Erika Mejia, Nelson Atuesta, Alvaro D. Orjuela-Cañón, Universidad del Rosario, Colombia
WE3.R2.121: Multi-Compartment Volume Conductor with Complete Electrode Model: Simulated Stereo-EEG Source Localization using Brainstorm-Zeffiro Plugin
Fernando Galaz Prieto, Tampere University, Finland; Takfarinas Medani, Chinmay Chinara, Richard M. Leahy, University of Southern California, United States; Sampsa Pursiainen, Tampere University, Finland
WE3.R2.122: Reservoir Computing with Neural Organoids for Comparative Studies of Neurological Health
Ashlee Liao, Johns Hopkins University Applied Physics Laboratory, United States; Dowlette-Mary Alam El Din, Johns Hopkins University, United States; Preston Peranich, Johns Hopkins University Applied Physics Laboratory, United States; Aliyah Penn, Ram Sagar, Vasiliki Mahairaki, Johns Hopkins University, United States; Constance Smith-Hicks, Kennedy Krieger Institute, United States; Thomas Hartung, Lena Smirnova, Johns Hopkins University, United States; Erik Johnson, Johns Hopkins University Applied Physics Laboratory, United States
WE3.R2.123: Computational Modeling of Planar Epileptic Waves Under Ephaptic Coupling for Closed-Loop Stimulation
Feng Zhang, Tianjin University, China; Meili Lu, Tianjin University of Technology and Education, China; Xile Wei, Tianjin University, China
WE3.R2.124: Exploring Reach and Grasp Task Aftereffect in Resting-State EEG
Elena Fenoglio, Istituto Italiano di Tecnologia - University of Genoa, Italy; Arthur Brabant, KU Leuven, Belgium; Pietro Di Bello, Indya Ceroni, Istituto Italiano di Tecnologia - University of Genoa, Italy; Marianna Semprini, Istituto Italiano di Tecnologia, Italy
WE3.R2.125: Tracking EEG Thalamic and Cortical Focal Brain Activity using Standardized Kalman Filtering with Kinematics Modelling
Veikka Piispa, Dilshanie Prasikala, Joonas Lahtinen, Alexandra Koulouri, Sampsa Pursiainen, Tampere University, Finland
WE3.R2.126: Neuroergonomic Analysis of LLM-Assisted Industrial Workflows
Jose A. Trapero, Eric Wagner, Fabian F. Hernandez, Daniel J. Strauss, Yannick Robin, Systems Neuroscience & Neurotechnology Unit, & htw saar, Germany
WE3.R2.127: Neuromorphic Twins recapitulate electrophysiological signatures of in vivo cortical networks
Marta Carè, IRCCS Ospedale Policlinico San Martino, Italy; Sam Zahedi Ghasabei, Tommaso Lambresa, Dania Vecchia, University of Genova, Italy; Timothée Levi, University of Bordeaux, France; Federico Barban, Michela Chiappalone, University of Genova, Italy
WE3.R2.128: Designing the Bump: Unified Rules for the Design of Neural Attractor Models Across Species and Functionality
William Nourse, Roger Quinn, Case Western Reserve University, United States
WE3.R2.129: A Computational Framework to Advance the Mechanistic Understanding of Subcallosal Cingulate Deep Brain Stimulation
Parisa Sarikhani, Elif C. Fitoz, Georgia Institute of Technology, United States; Helen Mayberg, Icahn School of Medicine at Mount Sinai, United States; Robert Butera, Christopher J. Rozell, Sankaraleengam Alagapan, Georgia Institute of Technology, United States
WE3.R2.130: Segmenting Individual Neurons with Large Arbors from Dense Clusters Using Graph Partitioning
Andres Morales, Gianluca Lazzi, Jean-Marie Bouteiller, Michael Bienkowski, USC, United States
Contacts