Author

M. L. Kringelbach

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Biophysics· 1 Physiology· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:statistical model· 2 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Assay:electrophysiology· 1 Assay:imaging· 1

Frequent Co-Authors

A. Gazzaley· 1 shared A. I. Luppi· 1 shared C. Pallacivini· 1 shared C. Timmermann· 1 shared D. Bor· 1 shared D. Candia-Rivera· 1 shared E. Tagliazucchi· 1 shared F. E. Rosas· 1 shared

Activity by Year

2020-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperPhysiology

A. Gazzaley

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Author profile →

2 papers

Recent·Most cited

PhysiologybioRxivPreprintNov 7, 2023

The entropic heart: Tracking the psychedelic state via heart rate dynamics

F. E. Rosas, P. A. M. Mediano, C. Timmermann…·R. Carhart-Harris

This paper uses Bayesian methods to analyze heart rate dynamics during psychedelic experiences, finding increased entropy and variability linked to subjective and neural effects.

DOI 10.1101/2023.11.07.566008

humanelectrophysiology

𝕏 PostBluesky

BiophysicsbioRxivJan 8, 2020

Data augmentation based on dynamical systems for the classification of brain states

Y. Sanz Perl, C. Pallacivini, I. Perez Ipina…·E. Tagliazucchi

This paper uses whole-brain computational models to generate synthetic data for brain state classification, achieving comparable accuracy to empirical data.

DOI 10.1016/j.chaos.2020.110069

humanimaging

𝕏 PostBluesky