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...
I tiakina i:
| Ngā kaituhi matua: | , , , , , , , , , , |
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| Hōputu: | Artigo |
| Reo: | Inglês |
| I whakaputaina: |
Frontiers Media S.A.
2025-04-01
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| Rangatū: | Frontiers in Systems Neuroscience |
| Ngā marau: | |
| Urunga tuihono: | https://www.frontiersin.org/articles/10.3389/fnsys.2025.1548437/full |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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