معرفی
Toni Auranen is a Staff Scientist at the Department of Neuroscience and Biomedical Engineering within Aalto University. His research focuses on advancing neuroimaging techniques, particularly in functional MRI (fMRI) and magnetoencephalography (MEG), with a strong emphasis on computational methods and physiological noise modeling.
- Doctoral degree in Engineering and Technology from Helsinki University of Technology (2007)
- Master’s degree in Engineering and Technology from Helsinki University of Technology (2002)
Research Interests: Toni’s work spans neuroscience and biomedical engineering, addressing challenges in dynamical signal modeling, neuromagnetic source estimation, and the integration of multimodal imaging techniques like fMRI and MEG. His contributions include developing the DRIFTER method for filtering physiological noise in BOLD fMRI. He has also explored how selective attention modulates auditory cortex responses and the role of statistical modeling in enhancing neuroimaging accuracy.
Recent Publications: Toni’s recent articles highlight advancements in ultra-high field MRI (2022), spatiotemporal noise analysis (2013), and the DRIFTER method (2012). His work increasingly incorporates Bayesian inversion techniques and hierarchical modeling to address neuroimaging challenges.
Activities: He has engaged in international collaborations, including visiting researcher roles at ETH/Neuroscience Center Zurich (2014), ISMRM Scientific Workshop (2011), and Siemens AB (2011).
