CNS*2025 Florence

Please visit the dedicated website for full details: https://nicolomeneghetti.github.io/ECP_CNS2025_Wshop/

Simulating large-scale neural activity is essential for understanding brain dynamics and linking in silico models to experimentally measurable signals like LFP, EEG, and MEG. These simulations, ranging from detailed biophysical models to simplified proxies, bridge microscale neural dynamics with meso- and macro-scale recordings, offering powerful tools to interpret data, refine analyses, and explore brain function. Recent advances have demonstrated the clinical and theoretical value of such models, shedding light on oscillations, excitation-inhibition balance, and biomarkers of neurological disorders like epilepsy, Alzheimer's, and Parkinson’s disease. This workshop will cover the latest methodologies, hybrid modeling approaches, and applications of brain signal simulations.By gathering experts across disciplines, it aims to foster collaboration and advance our understanding of brain function and dysfunction.


09:15 – 09:50
Dominik Peter Koller, Berlin Institute of Health (BIH) at Charité – Universitätsmedizin Berlin, Berlin, Germany
Title: "How structural connectivity directs cortical traveling waves and shapes frequency gradients"

09:50 – 10:25
Gaute T. Einevoll, Department of Physics, University of Oslo, Oslo, Norway
Title: "Modeling electric brain signals and stimulation"

10:30 – 11:00
Coffee Break

11:00 – 11:35
Johanna Senk, Institute for Advanced Simulation (IAS-6), Jülich Research Centre, Jülich, Germany
Title: "Large-scale modeling of mesoscopic networks at single-neuron resolution"

11:35 – 12:10
Pablo Martínez Cañada, Research Centre for Information and Communications Technologies (CITIC), University of Granada, Granada
Title: "Inverse Modelling of Field Potentials from Simulations of Spiking Network Models: Applications in Neuroscience Research and Clinical Settings"

12:10 – 12:40
Nicolò Meneghetti, The Biorobotics Institute, Sant’Anna School of Advanced Studies, Pisa, Italy
Title: "From microcircuits to mesoscopic signals: a kernel approach to efficient and interpretable LFP estimation"

12:45 - 14.00
Lunch Break

14:15 – 14:50
Emily Patricia Stephen, Department of Math and Statistics, Boston University, Boston, MA, United States of America
Title: "Connecting biophysical models to empirical power spectra using Filtered Point Processes"

14:50 - 15:25
Madeleine Lowery, School of Electrical and Electronic Engineering, University College Dublin, Dublin, Ireland
Title: "Modelling Neural Activity During Adaptive Deep Brain Stimulation for Parkinson’s Disease"

15:30 - 16:00
Coffee Break 

16:00 – 16:35
Meysam Hashemi, Aix Marseille University INSERM, INS, Institute for Systems Neuroscience, Marseille, France
Title: "Principles and Operation of Virtual Brain Twins"

16:35 - 17:10
Katharina Duecker, Brown University and University of Birmingham,  USA/UK
Title: "The Human Neocortical Neurosolver as an interactive modeling tool to study the multi-scale mechanisms of human EEG/MEG signals"