Author

Dominik I. Braun

Friedrich-Alexander-Universität Erlangen-NürnbergORCID 0000-0001-7904-3166Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Neuroscience· 3

Signature Assays, Organisms & Methods

Click to filter · or open tag

Assay:electronic health records· 3 Organism:human· 3 Research Focus:cell type annotation· 2 Approach:deep learning· 1 Approach:experimental assay· 1 Approach:statistical model· 1 Research Focus:trajectory inference· 1

Frequent Co-Authors

Alessandro Del VecchioiD· 3 shared Daniela Souza de OliveiraiD· 3 shared Marius OßwaldiD· 2 shared Raul SîmpetruiD· 2 shared Andre L. CakiciiD· 1 shared Andreas ArkudasiD· 1 shared Bjoern M. EskofieriD· 1 shared Devon R. RohlfiD· 1 shared

Activity by Year

2022-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

3 shared papersNeuroscience

Alessandro Del VecchioORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Physiological and pathological motor unit phenotypes coexist within single motor pools after cervical SCI

Devon R. Rohlf, Raul Sîmpetru, Dominik I. Braun, Daniela Souza de Oliveira, Matthias Ponfick, Alessandro Del Vecchio

The paper investigates motor unit recruitment and derecruitment dynamics in individuals with chronic cervical SCI, revealing coexisting phenotypes within motor pools.

bioRxiv · Jun 10, 2026 · PreprintNeuroscience

Mechanical Hand Synergies during Dynamic Hand Movements are Mostly Controlled in a Non-Synergistic Way by Spinal Motor Neurons

Marius Oßwald, Andre L. Cakici, Daniela Souza de Oliveira, Dominik I. Braun, Alessandro Del Vecchio

The paper investigates motor unit control during hand movements, finding that synergistic grasps are controlled non-synergistically by distinct motor units.

bioRxiv · Jul 25, 2023 · PreprintNeuroscience

Sensing the Full Dynamics of the Human Hand with a Neural Interface and Deep Learning

Raul Sîmpetru, Andreas Arkudas, Dominik I. Braun, Marius Oßwald, Daniela Souza de Oliveira, Bjoern M. Eskofier, Thomas Mehari Kinfe, Alessandro Del Vecchio

This paper develops a deep learning method to predict hand kinematics and forces from EMG signals, showing accurate prediction of unseen movements and learned anatomical neural features.

bioRxiv · Jul 29, 2022 · PreprintNeuroscience