Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Stefan Pollok"'
Autor:
Martin Kubitschke, Monika Müller, Lutz Wallhorn, Mauro Pulin, Manuel Mittag, Stefan Pollok, Tim Ziebarth, Svenja Bremshey, Jill Gerdey, Kristin Carolin Claussen, Kim Renken, Juliana Groß, Pascal Gneiße, Niklas Meyer, J. Simon Wiegert, Andreas Reiner, Martin Fuhrmann, Olivia Andrea Masseck
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-17 (2022)
Genetically encoded sensors have been developed and become versatile tools for imaging serotonin dynamics. Here, authors developed a family of serotonin (5-HT) sensors (sDarken), three variants with different affinities for 5-HT enable high spatiotem
Externí odkaz:
https://doaj.org/article/67b7ba204f424e40b9234b7c93a4305b
Autor:
Stefan Pollok, Rasmus Bjørk
Publikováno v:
Europhysics News. 53:18-21
In deep learning, neural networks consisting of trainable parameters are designed to model unknown functions based on available data. When the underlying physics of the system at hand are known, e.g., Maxwell’s equation in electromagnetism, then th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2231af0c4dc677070d0152fc8c897926
https://doi.org/10.1051/epn/2022204
https://doi.org/10.1051/epn/2022204
Publikováno v:
Padinjarethil, A K, Pollok, S & Hagen, A 2021, ' Degradation studies using machine learning on novel solid oxide cell database ', Fuel Cells, vol. 21, no. 6, pp. 566-576 . https://doi.org/10.1002/fuce.202100097
With the current progress in solid oxide cell (SOC) technology towards commercial products, better durability is vital. Continuous advancements in technology and material discovery demand the understanding of underlying degradation mechanisms. It rem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::62e13ebdb7fc0f5adf57a9a3a8e9cdfb
https://doi.org/10.1002/fuce.202100097
https://doi.org/10.1002/fuce.202100097
Publikováno v:
Pollok, S, Bjørk, R & Jørgensen, P S 2021, ' Inverse Design of Magnetic Fields using Deep Learning ', I E E E Transactions on Magnetics, vol. 57, no. 7, 2101604 . https://doi.org/10.1109/TMAG.2021.3082431
We here present a novel deep learning (DL) approach for designing structures of permanent magnets. The challenge for the DL method in this kind of problem is to learn the mapping from a desired magnetic field to a simple magnetic structure, i.e. an i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7ad9f7059a58b85763a8249c562c5a3b
https://orbit.dtu.dk/en/publications/027b9161-5355-4338-8f5d-e66e1f8e1ffc
https://orbit.dtu.dk/en/publications/027b9161-5355-4338-8f5d-e66e1f8e1ffc
Autor:
Andreas Reiner, Stefan Pollok
Publikováno v:
Proc Natl Acad Sci U S A
Ionotropic glutamate receptors (iGluRs) are key molecules for synaptic signaling in the central nervous system, which makes them promising drug targets. Intensive efforts are being devoted to the development of subunit-selective ligands, which should
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9215620c453aea2e0aec94724eef04c5
https://pubmed.ncbi.nlm.nih.gov/32999066
https://pubmed.ncbi.nlm.nih.gov/32999066
Publikováno v:
2019 IEEE Intelligent Vehicles Symposium (IV).
For highly automated driving above SAE level~3, behavior generation algorithms must reliably consider the inherent uncertainties of the traffic environment, e.g. arising from the variety of human driving styles. Such uncertainties can generate ambigu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bd556f471abc9e5623ab863af18c1d94
https://doi.org/10.1109/ivs.2019.8813791
https://doi.org/10.1109/ivs.2019.8813791
Autor:
Martin Krause, Chris I. De Zeeuw, Wolfgang Kruse, Stefan Pollok, Sebastiaan K. E. Koekkoek, Deniz Dalkara, Stefan Herlitze, Henk-Jan Boele, Melanie D. Mark, Thomas Kuner
Publikováno v:
Journal of Neuroscience, 35(23), 8882-8895. Society for Neuroscience
Journal of Neuroscience, 35(23), 8882-95. Society for Neuroscience
Journal of Neuroscience, 35(23), 8882-95. Society for Neuroscience
Spinocerebellar ataxia type 6 (SCA6) is linked to poly-glutamine (polyQ) within the C terminus (CT) of the pore-forming subunits of P/Q-type Ca(2+) channels (Ca(v)2.1) and is characterized by CT protein aggregates found in cerebellar Purkinje cells (
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9882be41919729958240d79386771a50
https://pubmed.ncbi.nlm.nih.gov/26063920
https://pubmed.ncbi.nlm.nih.gov/26063920
Publikováno v:
Technical University of Denmark Orbit
Pollok, S, Olden-Jørgensen, N, Jørgensen, P S & Bjørk, R 2022, ' Magnetic Field Prediction Using Generative Adversarial Networks ', 15th Joint MMM-Intermag Conference, New Orleans, United States, 10/01/2022-14/01/2022 pp. 542-542 .
Pollok, S, Olden-Jørgensen, N, Jørgensen, P S & Bjørk, R 2022, ' Magnetic Field Prediction Using Generative Adversarial Networks ', 15th Joint MMM-Intermag Conference, New Orleans, United States, 10/01/2022-14/01/2022 pp. 542-542 .
Plenty of scientific and real-world applications are built on magnetic fields and their characteristics. To retrieve the valuable magnetic field information in high resolution, extensive field measurements are required, which are either time-consumin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::282b7b1f288d45a8f30c20393f5ba3a4
https://orbit.dtu.dk/en/publications/593c391f-48bb-4a6c-a7bf-4fb566f1cd51
https://orbit.dtu.dk/en/publications/593c391f-48bb-4a6c-a7bf-4fb566f1cd51
Autor:
Martin Kubitschke, Monika Müller, Lutz Wallhorn, Mauro Pulin, Manuel Mittag, Stefan Pollok, Tim Ziebarth, Svenja Bremshey, Jill Gerdey, Kristin Carolin Claussen, Kim Renken, Juliana Groß, Niklas Meyer, Simon Wiegert, Andreas Reiner, Martin Fuhrmann, Olivia Andrea Masseck
Publikováno v:
bioRxiv
We developed a new family of genetically encoded serotonin (5-HT) sensors (sDarken) on the basis of the native 5-HT1A receptor and circularly permuted GFP. sDarken 5-HT sensors are bright in the unbound state and diminish their fluorescence upon bind
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f0f2a06305ecdeb4ce45135ab221695d
Publikováno v:
Technical University of Denmark Orbit
Pollok, S, Kotewitz, S T, Lassen, N M & Bjørk, R 2022, ' Transformer Neural Networks for Predicting Magnetization Dynamics ', 67nd Annual Conference on Magnetism and Magnetic Materials, Minneapolis, United States, 31/10/2022-04/11/2022 pp. 256-257 .
Pollok, S, Kotewitz, S T, Lassen, N M & Bjørk, R 2022, ' Transformer Neural Networks for Predicting Magnetization Dynamics ', 67nd Annual Conference on Magnetism and Magnetic Materials, Minneapolis, United States, 31/10/2022-04/11/2022 pp. 256-257 .
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::bf0f33eeba3554331d32541510176872
https://orbit.dtu.dk/en/publications/b8c0727a-e8bb-4a67-aedd-2c463342ff12
https://orbit.dtu.dk/en/publications/b8c0727a-e8bb-4a67-aedd-2c463342ff12