Author

E. Pereda

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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Bioengineering· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Organism:human· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1 Research Focus:dimensionality reduction· 1 Assay:electrophysiology· 1

Frequent Co-Authors

A. Carnero-Rosell· 1 shared A. Maselli· 1 shared D. Anido Pereiro· 1 shared F. Ramirez-Torano· 1 shared F. Sinigaglia· 1 shared Francisco-Shu KitauraiD· 1 shared I. Suarez-Mendez· 1 shared J. L. Sosa Ysalguez· 1 shared

Activity by Year

2023-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperNeuroscience

A. Carnero-Rosell

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2 papers

Recent·Most cited

Mapping the brain-web morphology to characterise ageing and cognitive impairment

Francisco-Shu Kitaura, A. Carnero-Rosell, J. L. Sosa Ysalguez, D. Anido Pereiro, F. Sinigaglia, N. Janssen, A. Maselli, E. Pereda, M. Huertas Company

This paper introduces SHARP, a method using cosmological web analysis to characterize brain ageing and cognitive impairment by analyzing MRI data from CamCAN and OASIS-3.

bioRxiv · Nov 9, 2026 · PreprintNeuroscience

The more, the merrier: multivariate phase synchronization methods excel pairwise ones in estimating brain connectivity from reconstructed neural sources

R. Bruna, P. Cuesta, F. Ramirez-Torano, I. Suarez-Mendez, E. Pereda

This paper compares multivariate and pairwise methods for estimating brain connectivity from EEG/MEG data, finding that multivariate approaches provide more accurate results.

bioRxiv · Jan 19, 2023 · PreprintBioengineering