Maths, AI and Neuroscience Meeting Stockholm
Prof
Event Information
Host
Ad hoc
Duration
70 minutes
Abstract
To understand brain function and develop artificial general intelligence it has become abundantly clear that there should be a close interaction among Neuroscience, machine learning and mathematics. There is a general hope that understanding the brain function will provide us with more powerful machine learning algorithms. On the other hand advances in machine learning are now providing the much needed tools to not only analyse brain activity data but also to design better experiments to expose brain function. Both neuroscience and machine learning explicitly or implicitly deal with high dimensional data and systems. Mathematics can provide powerful new tools to understand and quantify the dynamics of biological and artificial systems as they generate behavior that may be perceived as intelligent.
Topics
Related Job Opportunities
PhD Studentship: Mitochondrial Metabolism and Novel Therapeutic Strategies for Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD) (Fixed Term)
A fully funded University of Cambridge PhD studentship, supported by Novo Nordisk, will investigate how mitochondrial metabolism changes during metabolic dysfunction-associated steatotic liver…
Research Associate (Fixed Term)
Kathy Niakan's laboratory at the Loke Centre for Trophoblast Research is recruiting a postdoctoral researcher to study early lineage specification in human pre- and early post-implantation embryos.…
Research Assistant/Associate (Fixed Term)
A fixed-term research position in the laboratories of Ole Paulsen and Jasper Poort will study neural mechanisms of visual learning in mice. The project combines patch-clamp electrophysiology…