Garden:

 09:45   –     Opening remarks

10:00   –     Local Talk

• From dolphins to sleep walkers. Sleep as a global and local phenomenon – Lino Nobili

11:00   –     Coffee Break

11:30   –     Local Talk – Source Localization

• Source reconstruction in M/EEG – A. Sorrentino

12:00   –     Tutorial 1 – Hands-on SESAME: a multi-dipole localization method – A. Pascarella, A. Viani, G. Luria

13:00   –     Lunch

14:30   –     [Global] Theoretical advances in Cognitive Neuroscience made through MEEG

• The Gut-brain-consciousness Axis– C. Tallon-Baudry
• Tracking Attentional Dynamics Across Vision, Working Memory, and Action – F. Van Ede
  
• Emergence of language during early development – C. Francois
  

17:00   –     Discussion

17:30   –     Welcome

9:00    –     Tutorial 2 – Preprocessing with EEGLAB – C. Porcaro, C. Piazza

11:00   –     Break

11:30   –     Tutorial 3 – EEG and eye-tracking integration – C. Huber-Huber, A. Vitale

13:00   –     Lunch

14:30   –     [Global] Challenges / opportunites in RT EEG processing and classification tools in BCI

• Geometric deep learning meets BCI – R. Kobler
• Facing the Small Data Reality – M. Tangermann
• Conducting BCI protocols with Patients – T. Vaughan
  

17:00   –     Discussion

17:30   –     Poster & beer

9:00    –     Local Talks – Infant EEG

• EEG to study typical and atypical development: Issues and Practices – C. Cantiani
• The developmental origins of embedded neural oscillations for speech and language processing: the role of prenatal and early postnatal experience – J. Gervain
• Frequency-tagging: a powerful method to investigate neurocognitive development with EEG – M. Buiatti
• A developmental approach to EEG cortical source analysis – S. Conte

11:00   –     Break

11:30   –     Tutorial 4 – Arfifact removal pipelines for human newborn EEG data – V. Prabhakar Kumaravel

13:00   –     Lunch

14:30   –     [Global] Reproducible processing pipelines and multiverses

• EEGmanypipelines – E. Cesnaite
  
• The Data-Processing Multiverse of Event-Related Potentials – P. Clayson
• Agreed Reporting Template for EEG Methodology – International Standard – A. Šoškić

17:00   –     Discussion

17:30   –     Poster & beer

9:00    –     Local Talks – EEG-TMS

• Comparison of different TMS-EEG cleaning pipelines: Advantages, Issues and Challenges – P. Belardinelli and A. Brancaccio
  
• Effective and functional connectivity analysis of TMS-EEG data – A. Pisoni

11:00   –     Break

11:30   –     Tutorial 5 – Real-time monitoring of TMS-evoked potentials to improve data quality – S. Casarotto

13:00   –     Lunch

14:30   –     [Global] Deep neural network analysis of MEEG data: A roadmap to using machine learning with MEEG

• Learning M/EEG Representations with Self-Supervision – H. Banville
• Classic Machiane Learning versus Deep Learning: Is there a clear winner – M. De Vos
• Using Artificial DNN to Predict and understand human vision – R. Martin Cichy

17:00   –     Discussion