Robustness of brain state identification in synthetic phase-coupled neurodynamics using Hidden Markov Models

Hidden Markov Models (HMMs) have emerged as a powerful tool for analyzing time series of neural activity. Gaussian HMMs and their time-resolved extension, Time-Delay Embedded HMMs (TDE-HMMs), have been instrumental in detecting discrete brain states in the form of temporal sequences of large-scale b...

Descripció completa

Dades bibliogràfiques

Autors principals:	Giulia Pieramico, Saeed Makkinayeri, Roberto Guidotti, Alessio Basti, Domenico Voso, Delia Lucarelli, Antea D’Andrea, Teresa L’Abbate, Gian Luca Romani, Vittorio Pizzella, Laura Marzetti
Format:	Artigo
Idioma:	Inglês
Publicat:	Frontiers Media S.A. 2025-04-01
Col·lecció:	Frontiers in Systems Neuroscience
Matèries:	HMM TDE-HMM phase coupling brain states simulation
Accés en línia:	https://www.frontiersin.org/articles/10.3389/fnsys.2025.1548437/full
Etiquetes:	Afegir etiqueta Sense etiquetes, Sigues el primer a etiquetar aquest registre!