Michael Tangermann

Michael Tangermann

Albert-Ludwigs-Universität Freiburg

H-index: 40

Europe-Germany

About Michael Tangermann

Michael Tangermann, With an exceptional h-index of 40 and a recent h-index of 30 (since 2020), a distinguished researcher at Albert-Ludwigs-Universität Freiburg, specializes in the field of Machine learning, brain signal analysis, closed-loop neurotechnology, brain-computer interfaces, adaptive deep brain stimulation.

His recent articles reflect a diverse array of research interests and contributions to the field:

Approximate UMAP allows for high-rate online visualization of high-dimensional data streams

Novel computer-based trainings for patients with aphasia

Synthesizing eeg signals from event-related potential paradigms with conditional diffusion models

Estimating person-specific neural correlates of mental rotation: A machine learning approach

Learning to walk on new ground: Calibration-free decoding for c-VEP BCI

Towards auditory attention decoding with noise-tagging: A pilot study

S-JEPA: towards seamless cross-dataset transfer through dynamic spatial attention

Perspectives of implementation of closed-loop deep brain stimulation: From neurological to psychiatric disorders

Michael Tangermann Information

University

Position

Brain State Decoding Lab and Autonomous Intelligent Systems Lab Germany

Citations(all)

14573

Citations(since 2020)

6922

Cited By

10356

hIndex(all)

40

hIndex(since 2020)

30

i10Index(all)

83

i10Index(since 2020)

53

Email

University Profile Page

Albert-Ludwigs-Universität Freiburg

Google Scholar

View Google Scholar Profile

Michael Tangermann Skills & Research Interests

Machine learning

brain signal analysis

closed-loop neurotechnology

brain-computer interfaces

adaptive deep brain stimulation

Top articles of Michael Tangermann

Title

Journal

Author(s)

Publication Date

Approximate UMAP allows for high-rate online visualization of high-dimensional data streams

arXiv preprint arXiv:2404.04001

Peter Wassenaar

Pierre Guetschel

Michael Tangermann

2024/4/5

Novel computer-based trainings for patients with aphasia

Clinical Neurophysiology

P Kreitlein

M Tangermann

C Weiller

M Musso

2024/3/1

Synthesizing eeg signals from event-related potential paradigms with conditional diffusion models

arXiv preprint arXiv:2403.18486

Guido Klein

Pierre Guetschel

Gianluigi Silvestri

Michael Tangermann

2024/3/27

Estimating person-specific neural correlates of mental rotation: A machine learning approach

Plos one

Sinan Uslu

Michael Tangermann

Claus Vögele

2024/1/31

Learning to walk on new ground: Calibration-free decoding for c-VEP BCI

arXiv preprint arXiv:2403.15521

J Thielen

J Sosulski

M Tangermann

2024/3/22

Towards auditory attention decoding with noise-tagging: A pilot study

arXiv preprint arXiv:2403.15523

HA Scheppink

S Ahmadi

P Desain

M Tangermann

J Thielen

2024/3/22

S-JEPA: towards seamless cross-dataset transfer through dynamic spatial attention

arXiv preprint arXiv:2403.11772

Pierre Guetschel

Thomas Moreau

Michael Tangermann

2024/3/18

Perspectives of implementation of closed-loop deep brain stimulation: From neurological to psychiatric disorders

Sergiu Groppa

Gabriel Gonzalez-Escamilla

Gerd Tinkhauser

Halim Ibrahim Baqapuri

Bastian Sajonz

...

2023

Project dareplane for closed-loop deep brain stimulation

Brain Stimulation: Basic, Translational, and Clinical Research in Neuromodulation

Matthias Dold

Joana Pereira

Mark Janssen

Michael Tangermann

2023/1/1

Electrophysiological footprint of slMFB-DBS in depression–study design and preliminary results

Brain Stimulation: Basic, Translational, and Clinical Research in Neuromodulation

Joana Pereira

Matthias Dold

Bastian Sajonz

Thomas E Schlaepfer

Michael Tangermann

...

2023/1/1

Transfer Learning between Motor Imagery Datasets using Deep Learning--Validation of Framework and Comparison of Datasets

arXiv preprint arXiv:2311.16109

Pierre Guetschel

Michael Tangermann

2023/9/4

UMM: Unsupervised Mean-difference Maximization

arXiv preprint arXiv:2306.11830

Jan Sosulski

Michael Tangermann

2023/6/20

An embedding for EEG signals learned using a triplet loss

arXiv preprint arXiv:2304.06495

Pierre Guetschel

Théodore Papadopoulo

Michael Tangermann

2023/3/23

Brain-Computer Interfaces: Novel applications and interactive technologies

Jesus Minguillon

Ivan Volosyak

Christoph Guger

Michael Tangermann

Miguel Angel Lopez

2022/6/21

Adaptive deep brain stimulation of the superolateral medial forebrain bundle

2022/2/24

Aphasia recovery by language training using a brain–computer interface: A proof-of-concept study

Brain communications

Mariacristina Musso

David Hübner

Sarah Schwarzkopf

Maria Bernodusson

Pierre LeVan

...

2022/2/1

Introducing block-Toeplitz covariance matrices to remaster linear discriminant analysis for event-related potential brain–computer interfaces

Journal of neural engineering

Jan Sosulski

Michael Tangermann

2022/11/7

Embedding neurophysiological signals

Pierre Guetschel

Thoedore Papadopoulo

Michael Tangermann

2022/10/26

Real-time data processing for brain-computer interfacing using optically pumped magnetometers.

International Journal of Bioelectromagnetism

J Zerfowski

TH Sander

M Tangermann

SR Soekadar

T Middelmann

2021/8/1

Improving covariance matrices derived from tiny training datasets for the classification of event-related potentials with linear discriminant analysis

Neuroinformatics

Jan Sosulski

Jan-Philipp Kemmer

Michael Tangermann

2021/7

See List of Professors in Michael Tangermann University(Albert-Ludwigs-Universität Freiburg)

Co-Authors

H-index: 169
Niels Birbaumer

Niels Birbaumer

Eberhard Karls Universität Tübingen

H-index: 156
Klaus-Robert Müller

Klaus-Robert Müller

Technische Universität Berlin

H-index: 134
Gert Pfurtscheller

Gert Pfurtscheller

Technische Universität Graz

H-index: 132
Wolfram Burgard

Wolfram Burgard

Albert-Ludwigs-Universität Freiburg

H-index: 95
Andrea Kübler

Andrea Kübler

Julius-Maximilians-Universität Würzburg

H-index: 78
Benjamin Blankertz

Benjamin Blankertz

Technische Universität Berlin

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