Author

Shih‐Chii Liu

University of ZurichORCID 0000-0002-7557-045XUnclaimed 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:drug response / drug discovery· 2 Assay:electronic health records· 2 Research Focus:benchmarking· 1 Approach:deep learning· 1 Approach:experimental assay· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Adrián Villamarin‐OrtiziD· 1 shared Alain De Cheveigné AiD· 1 shared Alessandro CataniaiD· 1 shared Antonio LozanoiD· 1 shared Cristina Soto‐SáncheziD· 1 shared Daniel D.E. WongiD· 1 shared Eduardo FernándeziD· 1 shared Enea CeoliniiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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1 shared paperNeuroscience

Adrián Villamarin‐OrtizORCID

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2 papers

Recent·Most cited

Deep Learning-Based Control of Electrically Evoked Activity in Human Visual Cortex

Pehuén Moure, Jacob Granley, Fabrizio Grani, Leili Soo, Antonio Lozano, Rocío López-Peco, Adrián Villamarin‐Ortiz, Cristina Soto‐Sánchez, Shih‐Chii Liu, Michael Beyeler, Eduardo Fernández

This paper develops a deep learning framework to control neural activity in the human visual cortex using a neuroprosthesis, achieving better performance than conventional methods.

Neuron · Aug 1, 2026Peer-reviewedNeuroscience

Real-time control of a hearing instrument with EEG-based attention decoding

Jens Hjortkjær, Daniel D.E. Wong, Alessandro Catania, Jonatan Märcher‐Rørsted, Enea Ceolini, Søren A. Fuglsang, Ilya Kiselev, Giovanni M. Di Liberto, Shih‐Chii Liu, Torsten Dau, Malcolm Slaney, Alain De Cheveigné A

This paper presents a real-time BCI system using EEG attention decoding to control a hearing instrument, enhancing speech perception in noisy environments by steering attention to desired sound sources.

Journal of Neural Engineering · Feb 1, 2025Peer-reviewedNeuroscience