Muscle synergies in neuroscience and robotics: from input-space to task-space perspectives

C Alessandro, I Delis, F Nori, S Panzeri… - Frontiers in …, 2013 - frontiersin.org
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 …

Forecasting of customer demands for production planning by local k-nearest neighbor models

M Kück, M Freitag - International Journal of Production Economics, 2021 - Elsevier
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 …

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 …

[图书][B] Mathematics and climate

H Kaper, H Engler - 2013 - SIAM
Understanding the Earth's climate system and predicting its behavior under a range of “what
if” scenarios are among the greatest challenges for science today. The stakes are high, and …

[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 …

Quasi-periodic bifurcations of invariant circles in low-dimensional dissipative dynamical systems

R Vitolo, H Broer, C Simó - Regular and chaotic dynamics, 2011 - Springer
This paper first summarizes the theory of quasi-periodic bifurcations for dissipative
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

B Sklenárová, J Chládek, M Macek, M Brázdil… - Scientific Reports, 2023 - nature.com
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 …

[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 …

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 …

Quantum synchronization effects induced by strong nonlinearities

Y Shen, WK Mok, C Noh, AQ Liu, LC Kwek, W Fan… - Physical Review A, 2023 - APS
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 …