Inference of Time–Varying Graph Topologies via Gaussian Processes
C Cui, PM Djurić - … 2024-2024 IEEE International Conference on …, 2024 - ieeexplore.ieee.org
In this paper, we explore the estimation of directed time-varying graph topologies, which
represent evolving relationships among nodes in high-dimensional, interdependent data …
represent evolving relationships among nodes in high-dimensional, interdependent data …
Gaussian Process-Based Inference Toward Revealing Brain Functional Connectivity
In the field of neuroscience, the task of accurately deciphering brain connectivity from
observed data has continued to receive increased attention. In this paper, we address the …
observed data has continued to receive increased attention. In this paper, we address the …
An Approach to Learning the Hierarchical Organization of the Frontal Lobe
In neuroscience, hierarchical models of brain connectivity, particularly in the prefrontal
cortex (PFC), are used to understand how the brain can process sensory information, make …
cortex (PFC), are used to understand how the brain can process sensory information, make …