Muscle synergies in neuroscience and robotics: from input-space to task-space perspectives
In this paper we review the works related to muscle synergies that have been carried-out in
neuroscience and control engineering. In particular, we refer to the hypothesis that the …
neuroscience and control engineering. In particular, we refer to the hypothesis that the …
Forecasting of customer demands for production planning by local k-nearest neighbor models
Demand forecasting is of major importance for manufacturing companies since it provides a
basis for production planning. However, demand forecasting can be a difficult task because …
basis for production planning. However, demand forecasting can be a difficult task because …
Time and identity: A framework for research and theory formation
A Lichtwarck-Aschoff, P van Geert, H Bosma… - Developmental …, 2008 - Elsevier
This article presents a conceptual framework for the study of identity in the context of
developmental and real-time. The framework consists of two dimensions related to the …
developmental and real-time. The framework consists of two dimensions related to the …
[HTML][HTML] Differentiability in unrolled training of neural physics simulators on transient dynamics
B List, LW Chen, K Bali, N Thuerey - Computer Methods in Applied …, 2025 - Elsevier
Unrolling training trajectories over time strongly influences the inference accuracy of neural
network-augmented physics simulators. We analyze these effects by studying three variants …
network-augmented physics simulators. We analyze these effects by studying three variants …
Quasi-periodic bifurcations of invariant circles in low-dimensional dissipative dynamical systems
This paper first summarizes the theory of quasi-periodic bifurcations for dissipative
dynamical systems. Then it presents algorithms for the computation and continuation of …
dynamical systems. Then it presents algorithms for the computation and continuation of …
Entropy in scalp EEG can be used as a preimplantation marker for VNS efficacy
Vagus nerve stimulation (VNS) is a therapeutic option in drug-resistant epilepsy. VNS leads
to≥ 50% seizure reduction in 50 to 60% of patients, termed" responders". The remaining 40 …
to≥ 50% seizure reduction in 50 to 60% of patients, termed" responders". The remaining 40 …
[HTML][HTML] Divergan: An efficient and effective single-stage framework for diverse text-to-image generation
Z Zhang, L Schomaker - Neurocomputing, 2022 - Elsevier
In this paper, we concentrate on the text-to-image synthesis task that aims at automatically
producing perceptually realistic pictures from text descriptions. Recently, several single …
producing perceptually realistic pictures from text descriptions. Recently, several single …
Ordinal patterns, entropy, and EEG
K Keller, AM Unakafov, VA Unakafova - Entropy, 2014 - mdpi.com
In this paper we illustrate the potential of ordinal-patterns-based methods for analysis of real-
world data and, especially, of electroencephalogram (EEG) data. We apply already known …
world data and, especially, of electroencephalogram (EEG) data. We apply already known …
Quantum synchronization effects induced by strong nonlinearities
A paradigm for quantum synchronization is the quantum analog of the Stuart-Landau
oscillator, which corresponds to a van der Pol oscillator in the limit of weak (ie, vanishingly …
oscillator, which corresponds to a van der Pol oscillator in the limit of weak (ie, vanishingly …