Alex Crimi’s talk at NASK 8 February
Graph Convolutional Networks (GCN) are at the forefront of transforming our understanding of the brain, marking a significant leap in how we approach brain-related research and applications. Guiding us through this transformative journey, Dr. Alessandro Crimi, Team Leader at Sano’s Computer Vision department, will illuminate the path forward, showcasing how GCNs are reshaping our approach to understanding neural functions and disorders.
By harnessing the power of GCNs, researchers and practitioners are unlocking more accurate methods for classification, prediction, and in-depth analysis of brain phenomena. From enhancing brain image segmentation to advancing functional connectivity analysis and facilitating comprehensive brain network comparisons, GCNs are offering insights into the brain’s intricate dynamics. This technological advancement is not just about the complex algorithms; it’s about opening new pathways to understanding human cognition and developing innovative solutions for neurological health.
We are excited to accept an invitation from colleagues from NASK and we believe that such communication is extremely important! #Neuroscience #GCN #BrainResearch #Innovation Graph Convolutional Networks (GCN) are redefining our understanding of the brain. We are able to make more accurate classification, prediction, and understanding of brain-related phenomena. GCN successfully applied in tasks such as brain image segmentation, functional connectivity analysis, and brain network comparison, provid novel insights into the complex dynamics of the human brain.
connectivity analysis. intricate network. Sano is happy to invite Computer science and Neuroscience enthusiasts to an interdisciplinary talk by Dr. Alessandro Crimi at NASK (National Research Institute). We are excited to accept an invitation from colleagues from NASK and we believe that such communication is extremely important!
Topic: Computational Neuroscience: applications of brain connectivity
seminar by Dr. Alessandro Crimi at NASK (National Research Institute)
When: 8 February 2024, 12.00
Where: Conference room at Aleja Armii Ludowej 26, 10 floor, Warszaw
Register here: https://forms.office.com/pages/responsepage.aspx?id=r0XclbAHeUGlmJdABzpuSsrs3OzMkqBElHeCBmnts-tUN0FPUUdTV0JGNkRLSk9LOUVRUFc0N1RFMS4u
There will be online streaming on YouTube: more information will come soon.
Abstract of the talk
In Computational Neuroscience we see the brain as a graph or a network. That is why the advent of Graph Convolutional Networks (GCN) has revolutionized the field of brain connectivity analysis.
In this seminar, we will discuss how Graph Convolutional Networks utilize graph theory and deep learning techniques to extract meaningful features from brain connectivity data.
By leveraging the rich information encoded in brain networks, GCNs enable accurate classification, prediction, and understanding of brain-related phenomena. They have been successfully applied in tasks such as brain image segmentation, functional connectivity analysis, and brain network comparison, providing novel insights into the complex dynamics of the human brain.
