Objective measurement of forward-scattered light in the human eye: an electrophysiological approach. - In: PLOS ONE, ISSN 1932-6203, Bd. 14 (2019), 4, e0214850, insges. 14 S.
https://doi.org/10.1371/journal.pone.0214850
A principled approach to conductivity uncertainty analysis in electric field calculations. - In: NeuroImage, ISSN 1095-9572, Bd. 188 (2019), S. 821-834
Uncertainty surrounding ohmic tissue conductivity impedes accurate calculation of the electric fields generated by non-invasive brain stimulation. We present an efficient and generic technique for uncertainty and sensitivity analyses, which quantifies the reliability of field estimates and identifies the most influential parameters. For this purpose, we employ a non-intrusive generalized polynomial chaos expansion to compactly approximate the multidimensional dependency of the field on the conductivities. We demonstrate that the proposed pipeline yields detailed insight into the uncertainty of field estimates for transcranial magnetic stimulation (TMS) and transcranial direct current stimulation (tDCS), identifies the most relevant tissue conductivities, and highlights characteristic differences between stimulation methods. Specifically, we test the influence of conductivity variations on (i) the magnitude of the electric field generated at each gray matter location, (ii) its normal component relative to the cortical sheet, (iii) its overall magnitude (indexed by the 98th percentile), and (iv) its overall spatial distribution. We show that TMS fields are generally less affected by conductivity variations than tDCS fields. For both TMS and tDCS, conductivity uncertainty causes much higher uncertainty in the magnitude as compared to the direction and overall spatial distribution of the electric field. Whereas the TMS fields were predominantly influenced by gray and white matter conductivity, the tDCS fields were additionally dependent on skull and scalp conductivities. Comprehensive uncertainty analyses of complex systems achieved by the proposed technique are not possible with classical methods, such as Monte Carlo sampling, without extreme computational effort. In addition, our method has the advantages of directly yielding interpretable and intuitive output metrics and of being easily adaptable to new problems.
https://doi.org/10.1016/j.neuroimage.2018.12.053
Injectable, magnetically orienting electrospun fiber conduits for neuron guidance. - In: ACS applied materials & interfaces, ISSN 1944-8252, Bd. 11 (2019), 1, S. 356-372
https://doi.org/10.1021/acsami.8b18344
Efficiently annotating object images with absolute size information using mobile devices. - In: International journal of computer vision, ISSN 1573-1405, Bd. 127 (2019), 2, S. 207-224
https://doi.org/10.1007/s11263-018-1093-3
Database accelerators. - In: Dagstuhl Reports, ISSN 2192-5283, Bd. 8 (2018), 6, S. 67-68
https://doi.org/10.22032/dbt.42361
Database architectures for modern hardware : report from Dagstuhl Seminar 18251. - In: , ISSN 2192-5283, Bd. 8 (2018), 6, S. 63-76
http://dx.doi.org/10.4230/DagRep.8.6.63
A software tool for the evaluation of transient removal methods in discrete event stochastic simulations. - In: Systems modeling: methodologies and tools, ISBN 978-3-319-92378-9, (2019), S. 287-301
Simulations are often started from an empty initial system state, which leads to a transient bias from the desired stationary results. This paper compares several state-of-the-art transient removal algorithms and proposes a software framework for a systematic comparison of such algorithms. This helps simulation engineers in selecting a suitable bias-removal algorithm, with special attention to the determination of the quality of the simulation after the removal. It also allows comparison of new bias-removal algorithms against a set of tests, whose implementation would otherwise be time-consuming. A set of quantitative evaluation criteria is also proposed and used for the evaluation of the implemented methods.
https://doi.org/10.1007/978-3-319-92378-9_18
Dissociable roles within the social brain for self-other processing: a HD-tDCS study. - In: Cerebral cortex, ISSN 1460-2199, Bd. 29 (2019), 8, S. 3642-3654
https://doi.org/10.1093/cercor/bhy238
Cooperative passive coherent location: a promising 5G service to support road safety. - In: IEEE communications magazine, ISSN 1558-1896, Bd. 57 (2019), 9, S. 86-92
https://doi.org/10.1109/MCOM.001.1800242
GOLDi-Lab as a service - next step of evolution. - In: Smart Education and e-Learning 2018, (2019), S. 17-26
https://doi.org/10.1007/978-3-319-92363-5_2