This paper proposes a multilayer graph model for community detection based on multiple observations. This scenario is common when different estimators are used to infer graph edges from signals at the nodes, or when various signal measurements are …
Together with Damien Depannemaecker, Leonardo L. Gollo, Spase Petkoski & Pierpaolo Sorrentino, we organized a workshop at the 2024 CNS meeting on the design of models of brain functioning. My slides are available on [HAL](https://hal.science/hal-04701039v1).
EEG signals acquired at different electrodes can be modelled as Signals on Graph, where the graph structure reflects the underlying brain Functional Connectivity (FC), representing brain region interactions. FC gives crucial information to detect …
Functional connectivity (FC) can be represented as a network, and is frequently used to better understand the neural underpinnings of complex tasks such as motor imagery (MI) detection in brain-computer interfaces (BCIs). However, errors in the …