Intrinsic neural timescale (INT) quantifies the persistence of spontaneous neural dynamics and offers a principled metric for characterizing brain-wide temporal organization. Although a hierarchy of INTs has been established during rest, how task engagement reconfigures this organization and how it is constrained by th...
Kai-Chao Wu, R. de Palma Aristides, Rubén Herzog et al.· bioRxiv· 0 citations
Combining complementary neurophysiological modalities offers a promising strategy for improving motor imagery (MI) brain-computer interfaces (BCIs), but learning shared representations across modalities remains largely unexplored. Here, we propose a two-phase deep learning framework for multimodal EEG–MEG decoding that...
Giovanni Messuti, Silvia Scarpetta, P. Sorrentino et al.· bioRxiv· 0 citations
Abstract A central challenge in systems neuroscience is to understand how distributed brain networks organize activity during naturalistic cognition. Here, we investigate whether transient, high-amplitude bursts of high-gamma activity, referred to as neuronal avalanches, provide a compact and functionally informative d...
Matteo Neri, C. Runfola, P. Guilleminot et al.· Imaging neuroscience· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
