Computational Neuroscience: applications of brain connectivity | Join the seminar with Dr. Alessandro Crimi | 8 February


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. Join the seminar on February, 8, in NASK SCIENCE!

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By mapping and analyzing the intricate network of connections between different brain regions, researchers can identify aberrant connectivity patterns associated with various neurological disorders such as Alzheimer’s disease, schizophrenia, and autism spectrum disorders. These findings aid in early detection, diagnosis, and monitoring of these conditions, allowing for targeted interventions and personalized treatment strategies. Furthermore, the advent of graph convolutional networks (GCN) has revolutionized the field of brain connectivity analysis. GCNs 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. In this seminar we will revise basic concept of brain connectivity, computational neuroscience, and how this can be explored wit contemporary machine learning tools.

The seminar will be held exclusively in English on February 8 at 12:00 pm at NASK SCIENCE in Warsaw (Focus, Al. Armii Ludowej 26, 10 floor). Please register your participation in person in the form. You can also follow the event on YouTube.

Who is Dr. Allesandro Crimi?

Dr. Alessandro Crimi is a biomedical engineer and health economist who alternated his career between neuroimaging and healthcare management in low-income countries. He obtained a PhD in machine learning applied for medical imaging by the University of Copenhagen,  and an MBA in healthcare management by the University of Basel. Alessandro worked as post-doctoral researcher at the French Institute for Research in Computer Science (INRIA), Technical School of Switzerland (ETH-Zurich), Italian Institute for Technology (IIT), and University Hospital of Zurich. In those institutes he made significant contributions in the field of computational neuroscience. Dr. Crimi is currently the head of the neuroimaging lab at Sano working on finding novel biomarkers related to brain diseases with new technologies as machine learning and quantum computing. Moreover, he is currently involved in activities for technology transfer to train immigrant and women with children towards entrepreneurship.