TP8b1.7

Characterizing the Relationship of Noninvasive and Invasive Neural Recordings: An Information-Theoretic Analysis of Scalp and Stereo Electroencephalography

Anderson Roy Phillips, Dorsa Esmaeilpourmoghaddam, Rice University, United States; Yash Vakilna, University of Texas Health Science Center at Houston; Rice University, United States; Behnaam Aazhang, Rice University, United States
Session:
TP8b1: Signal Processing and Computational Modeling in Biomedical and Neural Systems Poster
Track:
Biomedical Signal and Image Processing
Location:
Merrill Hall
Presentation Time:
Tue, 28 Oct, 15:30 - 17:35 PT (UTC -7)
Presentation
Discussion
Resources
No resources available.
Session TP8b1
TP8b1.1: Template-Guided Independent Vector Extraction for Fast Search of Spatial Maps in fMRI
Martin Vrátný, Zbyněk Koldovský, Technical University in Liberec, Czech Republic
TP8b1.2: Networked-TCL: Modeling Epidemics on Networks
Chaorui Yao, Rahal Nanayakkara, Jonathan Bunton, Matteo Marchi, University of California, Los Angeles, United States; Pavlos Nikolopoulos, École polytechnique fédérale de Lausanne (EPFL), Switzerland; Christina Fragouli, Paulo Tabuada, University of California, Los Angeles, United States
TP8b1.3: Deep Learning-Based Mapping of Imagined to Perceived Neural Responses in MEG
Maryam Maghsoudi Shaghaghi, Mohsen Rezaeizadeh, Shihab Shamma, University of Maryland, College Park, United States
TP8b1.4: Integrating Choice Selection and Feedback During Decision-Making: A Role for Functional Connectivity
Ariana Moghbel, Logan Peters, University of California, Davis, United States; Ignacio Saez, Icahn School of Medicine at Mount Sinai, United States; Karen Moxon, University of California, Davis, United States
TP8b1.5: Decoding Risky Decision-Making from Nonlinear Neural Latent Dynamics
Angela Zhou, Logan Peters, Karen Moxon, University of California, Davis, United States
TP8b1.6: Skull Curvature Quantification Using Gaussian Curvature
Samarth Singh, G. Wilson Miller, Scott T. Acton, University of Virginia, United States
TP8b1.7: Characterizing the Relationship of Noninvasive and Invasive Neural Recordings: An Information-Theoretic Analysis of Scalp and Stereo Electroencephalography
Anderson Roy Phillips, Dorsa Esmaeilpourmoghaddam, Rice University, United States; Yash Vakilna, University of Texas Health Science Center at Houston; Rice University, United States; Behnaam Aazhang, Rice University, United States
TP8b1.8: Lineage Diffusion Models: Bayesian Inference of Latent Biological Traits over Inheritance Graphs with Graph Neural Networks
Bahman Moraffah, Worcester Polytechnic Institute, United States
TP8b1.9: Learning to Augment: Conditional Generative Models for Low-Resource PPG-Based Health Monitoring
Fatemeh Ghasemi Balouei, Mahesh Banavar, Clarkson University, United States; Bahman Moraffah, Worcester Polytechnic Institude, United States
TP8b1.10: Experimental Results Demonstrating that Levy Firefly Algorithms Can Improve Adaptive Fetal Electrocardiogram Signal Processing
William Jenkins, Pennsylvania State University, United States; Chandra Radhakrishnan, University of Illinois, United States
TP8b1.11: MedXAI: A Retrieval-Augmented, Self-Verifying Framework for Knowledge- Guided Medical Imaging
Midhat Urooj, Ayan Banerjee, Sandeep Gupta, Kuntal Prakash Thakur, Ashwith Ananda Poojary, Farhat Abdul Rauf Shaikh, Arizona State University, United States
TP8b1.12: mmWave Sensing for Detecting Movement through Thermoplastic Masks during Radiation Therapy Treatment
Ali Kourani, Aalto University, Finland; Naveed A. Abbasi, Syeda Narjis Fatima, University of Southern California, United States; Katsuyuki Haneda, Aalto University, Finland; Andreas F. Molisch, University of Southern California, United States
Contacts