This hybrid workshop is aimed to appeal to researchers sharing an interest in network science, neuroscience, analysis of neural signals, and mathematical tools pertaining to these areas. The neuroscientific interest lies particularly in the diagnosis and prognosis of neurodegenerative diseases. The workshop days will take place in an inspiring environment and will be scheduled with ample time for discussion, thus maximizing the prospects of collaboration.
Tid: Må 2022-05-23 kl 09.00 - Ti 2022-05-24 kl 12.00
Plats: KTH Campus, Digital Futures hub, Osquars Backe 5, floor 2
Information about the event
Network science has long been employed by neuroscience in questions ranging from microscopic networks of neurons to macroscopic networks of whole brain regions. How the neural network structure interacts with its dynamics, and how the brain processes information, remains an open question, due to the complexity and variability of neural activity and neural architectures. Likewise, inferring information from brain signals obtained by MEG and FMRI for the diagnosis and prognosis of, for example, neurodegenerative diseases is open for further development of tools.
Rather recently, the above questions have also led to new developments in which highly sophisticated theoretical mathematics has been used to build new tools for neural data analysis, for example, the field of topological data analysis. Such developments need the involvement of both experimentalists and theoreticians for them to lead to explainable outputs. Our workshop will be a platform to establish new connections between people sharing an interest in any of the above fields.
The workshop is funded by the KTH Life Science Platform.
For more information please contact Henri Riihimäki, firstname.lastname@example.org .