NEW WEBINAR SERIES: HANDS-ON MODELLING AFTERNOON

NEW WEBINAR SERIES: HANDS-ON MODELLING AFTERNOON

This webinar-series focuses on topics of neuroscientific modelling and experimentation.

The topics can range from easy examples to advanced clinical applications.

The series is organised by the Inverse Problems -research group led by tenure-track professor Sampsa Pursiainen.

Time: Friday afternoons, from 4 pm to 6 pm EET.

First session will be held on May 6th, 2022

Speaker: Associate Professor Alberto Sorrentino, Universita di Genova

Title: Source and connectivity analysis from M/EEG data: mathematics matters

Abstract: Magnetoencephalography (MEG) and Electroencephalogrphy (EEG) are powerful instruments for investigating brain activity non-invasively: from their recordings, it is possible to localize brain activity underlying specific tasks and characterize networks of spatially distinct brain regions. However, their full potential can only be exploited if the data analysis is carried out using proper mathematical models and related computational algorithms, allowing accurate and reliable results to be obtained.

In this talk, I will provide examples of recent developments that allow to improve over standard  methods.

I will present recent advances in the development of a Bayesian framework for source imaging that allows to reconstruct the neural sources of the measured signals with minimal user intervention; I will show how this approach provides increased accuracy in source localization, including an application to data recorded from epileptic subjects.Then I will discuss how estimates of source space connectivity from MEG/EEG time series are impacted unexpectedly by the choice of the regularization parameter, and what can be done about it.

Future talks:

20.5.2022    Fernando Galaz Prieto, Inverse Problems-group, Tampere University

Title: MC-tES in Zeffiro Interface: Sparse Optimized and Regularized Stimulus

3.6.2022       TBC

17.6.2022      Postdoctoral Fellow Narayan P Subramaniyam, Computational Biophysics and Imaging Group, Tampere University

Title: Causal inference from neural time series data

Placeholder dates for the autumn sessions (To be confirmed!)

19.8.2022, 2.9.2022, 16.9.2022, 30.9.2022

For more information, please contact:

Sari Karppinen, Tampere Brain & Mind

sari.karppinen@pshp.fi

Registration here!