Zobrazeno 1 - 10
of 83
pro vyhledávání: '"Schwabedal, P."'
Autor:
Kaulen, Lars, Schwabedal, Justus T. C., Schneider, Jules, Ritter, Philipp, Bialonski, Stephan
Publikováno v:
Scientific Reports 12, 7686 (2022)
Sleep spindles are neurophysiological phenomena that appear to be linked to memory formation and other functions of the central nervous system, and that can be observed in electroencephalographic recordings (EEG) during sleep. Manually identified spi
Externí odkaz:
http://arxiv.org/abs/2202.05158
Autor:
Grieger, Niklas, Schwabedal, Justus T. C., Wendel, Stefanie, Ritze, Yvonne, Bialonski, Stephan
Publikováno v:
S. Scientific Reports 11, 12245 (2021)
Reliable automation of the labor-intensive manual task of scoring animal sleep can facilitate the analysis of long-term sleep studies. In recent years, deep-learning-based systems, which learn optimal features from the data, increased scoring accurac
Externí odkaz:
http://arxiv.org/abs/2105.01933
We explore the training of generative adversarial networks with differential privacy to anonymize image data sets. On MNIST, we numerically measure the privacy-utility trade-off using parameters from $\epsilon$-$\delta$ differential privacy and the i
Externí odkaz:
http://arxiv.org/abs/2005.00783
Sleep scoring is a necessary and time-consuming task in sleep studies. In animal models (such as mice) or in humans, automating this tedious process promises to facilitate long-term studies and to promote sleep biology as a data-driven field. We intr
Externí odkaz:
http://arxiv.org/abs/1809.08443
Randomizing the Fourier-transform (FT) phases of temporal-spatial data generates surrogates that approximate examples from the data-generating distribution. We propose such FT surrogates as a novel tool to augment and analyze training of neural netwo
Externí odkaz:
http://arxiv.org/abs/1806.08675
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-10 (2022)
Abstract Sleep spindles are neurophysiological phenomena that appear to be linked to memory formation and other functions of the central nervous system, and that can be observed in electroencephalographic recordings (EEG) during sleep. Manually ident
Externí odkaz:
https://doaj.org/article/ca9c83e84b3e4c3197806758855978c8
Inhibitory circuits of relaxation oscillators are often-used models for the dynamics of biological networks. We present a qualitative and quantitative stability analysis of such a circuit constituted by three reciprocally coupled oscillators of a Fit
Externí odkaz:
http://arxiv.org/abs/1509.04514
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-14 (2021)
Abstract Reliable automation of the labor-intensive manual task of scoring animal sleep can facilitate the analysis of long-term sleep studies. In recent years, deep-learning-based systems, which learn optimal features from the data, increased scorin
Externí odkaz:
https://doaj.org/article/d6db134aed5c42e18027c61b042aff8c
We identify and describe the key qualitative rhythmic states in various 3-cell network motifs of a multifunctional central pattern generator (CPG). Such CPGs are neural microcircuits of cells whose synergetic interactions produce multiple states with
Externí odkaz:
http://arxiv.org/abs/1312.7470
We introduce an invariant phase description of stochastic oscillations by generalizing the concept of standard isophases. The average isophases are constructed as sections in the state space, having a constant mean first return time. The approach all
Externí odkaz:
http://arxiv.org/abs/1301.6852