138 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of TübingenDE10 papers
- Max Planck Institute for Intelligent SystemsDE5 papers
- University of StuttgartDE3 papers
- Aalto UniversityFI1 paper
- Applied Spectra (United States)US1 paper
- AREA Science ParkIT1 paper
- Argonne National LaboratoryUS1 paper
- Aspiring Scholars Directed Research ProgramUS1 paper
- Bayreuth Medical CenterDE1 paper
- Bernstein Center for Computational Neuroscience BerlinDE1 paper
- Bernstein Center for Computational Neuroscience TübingenDE1 paper
- Centre de Recerca MatemàticaES1 paper
15 papers
Appearance-free Action Recognition: Zero-shot Generalization in Humans and a Two-Pathway Model
Prerana Kumar, Martin A. Giese
Action recognition is a fundamental ability for social species. Yet, its underlying computations are not well understood. Classical psychophysical studies using simplified stimuli…
Mic-hackathon 2024: Hackathon on Machine Learning for Electron and Scanning Probe Microscopy
Utkarsh Pratiush, Austin Houston, Kamyar Barakati +70
Microscopy is a primary source of information on materials structure and functionality at nanometer and atomic scales. The data generated is often well-structured, enriched with me…
Delving into LLM-assisted writing in biomedical publications through excess vocabulary
Dmitry Kobak, Rita González-Márquez, Emőke-Ágnes Horvát +1
Large language models (LLMs) like ChatGPT can generate and revise text with human-level performance. These models come with clear limitations: they can produce inaccurate informati…
Attri-Net: A Globally and Locally Inherently Interpretable Model for Multi-Label Classification Using Class-Specific Counterfactuals
Susu Sun, Stefano Woerner, Andreas Maier +2
Interpretability is crucial for machine learning algorithms in high-stakes medical applications. However, high-performing neural networks typically cannot explain their predictions…
Learning to Control Emulated Muscles in Real Robots: Towards Exploiting Bio-Inspired Actuator Morphology
Pierre Schumacher, Lorenz Krause, Jan Schneider +3
Recent studies have demonstrated the immense potential of exploiting muscle actuator morphology for natural and robust movement -- in simulation. A validation on real robotic hardw…
Disentangling representations of retinal images with generative models
Sarah Müller, Lisa M. Koch, Hendrik P. A. Lensch +1
Retinal fundus images play a crucial role in the early detection of eye diseases. However, the impact of technical factors on these images can pose challenges for reliable AI appli…
Generating Realistic Arm Movements in Reinforcement Learning: A Quantitative Comparison of Reward Terms and Task Requirements
Jhon P. F. Charaja, Isabell Wochner, Pierre Schumacher +7
The mimicking of human-like arm movement characteristics involves the consideration of three factors during control policy synthesis: (a) chosen task requirements, (b) inclusion of…
'Virtual pivot point' in human walking: always experimentally observed but simulations suggest it may not be necessary for stability
L. Schreff, D. F. B. Haeufle, A. Badri-Spröwitz +2
The intersection of ground reaction forces near a point above the center of mass has been observed in computer simulation models and human walking experiments. Observed so ubiquito…
Finding spectral gaps in quasicrystals
Paul Hege, Massimo Moscolari, Stefan Teufel
We present an algorithm for reliably and systematically proving the existence of spectral gaps in Hamiltonians with quasicrystalline order, based on numerical calculations on finit…
Muscle pre-stimulation tunes viscous-like perturbation rejection in legged hopping
Fabio Izzi, An Mo, Syn Schmitt +2
Muscle fibres possess unique visco-elastic properties, capable of generating a stabilising zero-delay response to unexpected perturbations. This instantaneous response -- termed "p…
Early Recognition of Ball Catching Success in Clinical Trials with RNN-Based Predictive Classification
Jana Lang, Martin A. Giese, Matthis Synofzik +2
Motor disturbances can affect the interaction with dynamic objects, such as catching a ball. A classification of clinical catching trials might give insight into the existence of p…
Continuous Decoding of Daily-Life Hand Movements from Forearm Muscle Activity for Enhanced Myoelectric Control of Hand Prostheses
Alessandro Salatiello, Martin A. Giese
State-of-the-art motorized hand prostheses are endowed with actuators able to provide independent and proportional control of as many as six degrees of freedom (DOFs). The control…
Improving 3D convolutional neural network comprehensibility via interactive visualization of relevance maps: Evaluation in Alzheimer's disease
Martin Dyrba, Moritz Hanzig, Slawek Altenstein +37
Background: Although convolutional neural networks (CNN) achieve high diagnostic accuracy for detecting Alzheimer's disease (AD) dementia based on magnetic resonance imaging (MRI)…
Effective Viscous Damping Enables Morphological Computation in Legged Locomotion
An Mo, Fabio Izzi, Daniel F. B. Haeufle +1
Muscle models and animal observations suggest that physical damping is beneficial for stabilization. Still, only a few implementations of mechanical damping exist in compliant robo…
Recurrent Neural Network Learning of Performance and Intrinsic Population Dynamics from Sparse Neural Data
Alessandro Salatiello, Martin A. Giese
Recurrent Neural Networks (RNNs) are popular models of brain function. The typical training strategy is to adjust their input-output behavior so that it matches that of the biologi…