Author

Erika L. Juárez-Martinez

Amsterdam NeuroscienceORCID 0000-0002-4748-8635Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Assay:electronic health records· 2 Research Focus:benchmarking· 1 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:dimensionality reduction· 1

Frequent Co-Authors

Arthur-Ervin AvrămieaiD· 2 shared Klaus Linkenkaer‐HanseniD· 2 shared Marina DiachenkoiD· 2 shared Bethany F. M. OakleyiD· 1 shared Bob OranjeiD· 1 shared Declan MurphyiD· 1 shared Emily J. H. JonesiD· 1 shared Eva LothiD· 1 shared

Activity by Year

2023-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersNeuroscience

Arthur-Ervin AvrămieaORCID

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2 papers

Recent·Most cited

Qualitative EEG abnormalities signal a shift towards inhibition-dominated brain networks. Results from the EU-AIMS LEAP studies

Arthur-Ervin Avrămiea, Erika L. Juárez-Martinez, Pilar Garcés, Joerg F. Hipp, Simon‐Shlomo Poil, Marina Diachenko, Huibert D. Mansvelder, Emily J. H. Jones, Luke Mason, Declan Murphy, Eva Loth, Bethany F. M. Oakley, Tony Charman, Tobias Banaschewski, Bob Oranje, , Klaus Linkenkaer‐Hansen

The paper examines EEG abnormalities in ASD and controls, finding reduced fE/I in both groups with abnormalities, suggesting inhibition-dominated networks in sensory regions.

bioRxiv · Sep 19, 2024 · PreprintNeuroscience

Robin's Viewer: Using Deep-Learning Predictions to Assist EEG Annotation

Robin Weiler, Marina Diachenko, Erika L. Juárez-Martinez, Arthur-Ervin Avrămiea, Peter Bloem, Klaus Linkenkaer‐Hansen

Robin's Viewer integrates deep-learning predictions into an EEG annotation tool to improve accuracy and allow user inspection of model outputs.

Frontiers in Neuroinformatics · Jan 19, 2023Peer-reviewedNeuroscience