Welcome to our webinar:
New Frontiers in Neuroscience
25 February 2021
11:00- 13:00 (Helsinki)
This webinar is going to shed light on the interdisciplinary research and dialogue between neuroscience and data science in the University of Helsinki and Aalto University. It is organised by the Finnish Center for Artificial Intelligence AIX Forum and Helsinki Centre for Data Science HiDATA. The webinar is hosted by the director of HiDATA Sasu Tarkoma.
Program for the webinar:
- Opening words, Sasu Tarkoma, Professor of Computer Science at the University of Helsinki, Head of the Department of Computer Science and Director of the Helsinki Center for Data Science HiDATA
- Cognitive neuroimaging: towards representations and mechanisms, Riitta Salmelin, Professor of Imaging Neuroscience at the Department of Neuroscience and Biomedical Engineering, Aalto University
- Towards clinical artificial intelligence: Boost for brain diagnostics, Hanna Renvall, MD PhD, M.Sc (engineering physics), assistant professor of Translational Neuroimaging in Aalto University and Helsinki University Hospital
- Is the brain ever quiet? Investigations using machine learning of neuroimaging data, Aapo Hyvärinen, Professor, Department of Computer Science, University of Helsinki
- Probabilistic machine and human intelligence under resource constraints, Luigi Acerbi, Assistant Professor at the Department of Computer Science of the University of Helsinki,
- Invited comment, Minna Huotilainen, professor of educational sciences at University of Helsinki.
- Questions and end discussion
This webinar is open for public and free of charge. Warm welcome!
Finnish Center for Artificial Intelligence FCAI is a community of experts that brings together top talents in academia, industry and public sector to solve real-life problems using both existing and novel AI. FCAI is one of the Academy of Finland Finnish flagships, hubs of top-level research and impact. AIX Forum is a series of events for finding novel high-impact applications of artificial intelligence.
Helsinki Centre for Data Science HiDATA is a large multi-disciplinary network of researchers working on both methods and applications supported by our Data Science infrastructure. HiDATA is a joint hub of the University of Helsinki and Aalto University. JOIN our mailing list
More about the speakers:
Sasu Tarkoma is Professor of Computer Science at the University of Helsinki and Head of the Department of Computer Science. He is also Director of the Helsinki Center for Data Science and affiliated with the Helsinki Institute for Information Technology HIIT and the Finnish Center for AI (FCAI). He is chairman of the Finnish Scientific Advisory Board for Defence (MATINE). He has authored 4 textbooks and has published over 200 scientific articles. He has seven granted US Patents. His research has received a number of Best Paper awards and mentions, for example at IEEE PerCom, ACM CCR, and ACM OSR.
Hanna Renvall, MD PhD, M.Sc (engineering physics), is an assistant professor of Translational Neuroimaging in Aalto University and Helsinki University Hospital. She is an expert in applying functional neuroimaging methods, especially magnetoencephalography (MEG), for studying cognitive and sensory processes in health and disease. She has also several years’ experience in clinical neurology and neurological diagnostics. Her recent research has focused on applying and developing computational modelling approaches to neuroimaging data, especially in clinical populations such as traumatic brain injury and ischemic stroke.
Riitta Salmelin is Professor of Imaging Neuroscience at the Department of Neuroscience and Biomedical Engineering, Aalto University, Finland. Her research focuses on two complementary lines of investigation: uncovering neural organization of human language function by use and development of imaging methods and computational modelling, and examining sensitivity of MEG and fMRI activation and network measures to different neural and cognitive processes. She has pioneered the use of MEG in language research, and applied multimodal MEG/fMRI and interareal connectivity in the study of human cognition. She is the senior editor of the first handbook on MEG (“MEG. An Introduction to Methods”, Oxford University Press, 2010) and Associate Editor of Human Brain Mapping. Honours include membership of the Academia Europaea, Wiley Young Investigator Award by the Organization for Human Brain Mapping, and the Justine and Yves Sergent Award.
Aapo Hyvarinen studied undergraduate mathematics at the universities of Helsinki (Finland), Vienna (Austria), and Paris (France), and obtained a Ph.D. degree in Information Science at the Helsinki University of Technology in 1997. After post-doctoral work at the Helsinki University of Technology, he moved to the University of Helsinki in 2003, where he was appointed Professor in 2008, at the Department of Computer Science. From 2016 to 2019, he was Professor at the Gatsby Computational Neuroscience Unit, University College London, UK. Aapo Hyvarinen is the main author of the books "Independent Component Analysis" (2001) and "Natural Image Statistics" (2009), Action Editor at the Journal of Machine Learning Research and Neural Computation, and has worked as Area Chair at ICML, ICLR, AISTATS, UAI, ACML and NeurIPS. His current work concentrates on unsupervised machine learning and its applications to neuroscience.
Luigi Acerbi is Assistant Professor at the Department of Computer Science of the University of Helsinki, where he leads the Machine and Human Intelligence research group. He is a member of the Finnish Center for Artificial Intelligence (FCAI), an affiliate researcher of the International Brain Laboratory, and an off-site visiting scholar at New York University.
Group website: http://www.helsinki.fi/machine-and-human-intelligence
Minna Huotilainen is professor of educational sciences at University of Helsinki. Her research has focused on developing new ways and paradigms of using neurosciece to understand learning and brain functions in different contexts including school and work life. She is also known for her efforts in popularizing neuroscience.