Author

Miguel Angrick

University of BremenORCID 0000-0002-7050-3397Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:electronic health records· 3 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 Research Focus:drug response / drug discovery· 1

Frequent Co-Authors

Christian HerffiD· 2 shared Dean J. KrusienskiiD· 2 shared Marc W. SlutzkyiD· 2 shared Tanja SchultziD· 2 shared Adam J. Poole· 1 shared Adnan Hussain SiddiquiiD· 1 shared Albert ColoniD· 1 shared Aneil Srivastava· 1 shared

Activity by Year

2019-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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2 shared papersNeuroscience

Christian HerffORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Toward A Whole-Brain Interface Enabled by High-Resolution Surface Electrophysiology

Elton Ho, Katrina J. Barth, Jacqueline Dister, Aneil Srivastava, Adam J. Poole, Federico Claudi, Molly V. Lucas, Joshua S. Miller, Mark Hettick, Yoon Woo Byun, Ramin Anushiravani, Mark Murphy, Peter E. Konrad, Sanjay Bhatia, Geoffrey Adams, , Benjamin I. Rapoport

This paper presents a functional atlas of the human central nervous system using high-resolution surface electrophysiology from 70 patients, revealing conserved electrophysiological patterns and enabling neuroprosthetic applications.

bioRxiv · Oct 1, 2026 · PreprintNeuroscience

Real-time Synthesis of Imagined Speech Processes from Minimally Invasive Recordings of Neural Activity

Miguel Angrick, Maarten Christiaan Ottenhoff, Lorenz Diener, Darius Ivucic, Gabriel Ivucic, Sophocles Goulis, Jeremy Saal, Albert Colon, Louis Wagner, Dean J. Krusienski, Pieter Kubben, Tanja Schultz, Christian Herff

This paper develops a real-time speech synthesis system from neural activity for imagined and whispered speech, using implanted electrodes and frontal lobe activity.

Communications Biology · Sep 23, 2021Peer-reviewedNeuroscience

Speech Synthesis from ECoG using Densely Connected 3D Convolutional Neural Networks

Miguel Angrick, Christian Herff, Emily M. Mugler, Matthew C. Tate, Marc W. Slutzky, Dean J. Krusienski, Tanja Schultz

This paper uses deep neural networks to reconstruct speech from ECoG signals, achieving high correlation between reconstructed and original logMel spectrograms.

Journal of Neural Engineering · Mar 4, 2019Peer-reviewedNeuroscience