Whole-brain Computational Models of Transient Oscillatory Patterns: From Mechanisms to Translational Applications

Abstract: This talk will delve into my PhD research journey, which focused on exploring the mechanisms underlying transient brain patterns through the use of computational whole-brain models. By employing the Stuart-Landau and Wilson-Cowan models, I investigated how large-scale neural oscillations emerge and are modulated across multiple modalities, i.e. MEG and fMRI.
By integrating conduction delays and synaptic plasticity, this work reveals how network interactions can give rise to metastable oscillatory modes and functional connectivity patterns. I will discuss the application of these models in simulating the effects of external perturbations, revealing how different stimulation protocols may influence network connectivity.

Transitioning from academia to industry, I will share my experiences as a Research Program Manager at Neuroelectrics, highlighting the company’s focus on non-invasive brain stimulation technologies and computational modelling. Emphasizing the synergy between fundamental neuroscience and high-tech applications, I will discuss potential collaborative projects aimed at advancing the field of computational neuroscience.