Zobrazeno 1 - 10
of 2 034
pro vyhledávání: '"A. Breitwieser"'
Understanding how genetically encoded rules drive and guide complex neuronal growth processes is essential to comprehending the brain's architecture, and agent-based models (ABMs) offer a powerful simulation approach to further develop this understan
Externí odkaz:
http://arxiv.org/abs/2405.13905
Publikováno v:
npj Science of Learning, Vol 9, Iss 1, Pp 1-10 (2024)
Abstract Reminders are a popular feature in smartphone apps designed to promote desirable behaviors that are best performed regularly. But can they also promote students’ regular studying? In the present study with 85 lower secondary school student
Externí odkaz:
https://doaj.org/article/4a00e095de7a4064a2026866f55eeb6d
Agent-based modeling plays an essential role in gaining insights into biology, sociology, economics, and other fields. However, many existing agent-based simulation platforms are not suitable for large-scale studies due to the low performance of the
Externí odkaz:
http://arxiv.org/abs/2301.06984
Autor:
Kevin Breitwieser, Matteo Bevilacqua, Sneha Mullassery, Fabian Dankert, Bernd Morgenstern, Samuel Grandthyll, Frank Müller, Andrea Biffis, Christian Hering‐Junghans, Dominik Munz
Publikováno v:
Advanced Science, Vol 11, Iss 25, Pp n/a-n/a (2024)
Abstract Atomically precise nanoclusters hold promise for supramolecular assembly and (opto)electronic‐ as well as magnetic materials. Herein, this work reports that treating palladium(0) precursors with a triphosphirane affords strongly colored Pd
Externí odkaz:
https://doaj.org/article/da76502b57f14a89a962f2899148020e
Autor:
Müller, Eric, Arnold, Elias, Breitwieser, Oliver, Czierlinski, Milena, Emmel, Arne, Kaiser, Jakob, Mauch, Christian, Schmitt, Sebastian, Spilger, Philipp, Stock, Raphael, Stradmann, Yannik, Weis, Johannes, Baumbach, Andreas, Billaudelle, Sebastian, Cramer, Benjamin, Ebert, Falk, Göltz, Julian, Ilmberger, Joscha, Karasenko, Vitali, Kleider, Mitja, Leibfried, Aron, Pehle, Christian, Schemmel, Johannes
Neuromorphic systems open up opportunities to enlarge the explorative space for computational research. However, it is often challenging to unite efficiency and usability. This work presents the software aspects of this endeavor for the BrainScaleS-2
Externí odkaz:
http://arxiv.org/abs/2203.11102
Autor:
A. Breitwieser, S. Küpcü, S. Howorka, S. Weigert, C. Langer, K. Hoffmann-Sommergruber, O. Scheiner, U.B. Sleytr, M. Sára
Publikováno v:
BioTechniques, Vol 21, Iss 5, Pp 918-925 (1996)
In the present study, the applicability of crystalline bacterial cell-surface layers (Slayers) as novel immobilization matrices and reaction zones for dipstick-style immunoassays was investigated. For this purpose, S-layer-carrying cell-wall fragment
Externí odkaz:
https://doaj.org/article/8046f586f7f1413f82ef05056c178f58
Autor:
Breitwieser, Kevin1 (AUTHOR), Bevilacqua, Matteo1,2 (AUTHOR), Mullassery, Sneha1 (AUTHOR), Dankert, Fabian1 (AUTHOR), Morgenstern, Bernd1 (AUTHOR), Grandthyll, Samuel3 (AUTHOR), Müller, Frank3 (AUTHOR), Biffis, Andrea2 (AUTHOR), Hering‐Junghans, Christian4 (AUTHOR) junghans@catalysis.de, Munz, Dominik1 (AUTHOR) dominik.munz@uni-saarland.de
Publikováno v:
Advanced Science. 7/3/2024, Vol. 11 Issue 25, p1-6. 6p.
We introduce the problem of proficiency modeling: Given a user's posts on a social media platform, the task is to identify the subset of posts or topics for which the user has some level of proficiency. This enables the filtering and ranking of socia
Externí odkaz:
http://arxiv.org/abs/2110.08011
Researchers in biology are faced with the tough challenge of developing high-performance computer simulations of their increasingly complex agent-based models. BioDynaMo is an open-source agent-based simulation platform that aims to alleviate researc
Externí odkaz:
http://arxiv.org/abs/2105.00039
Autor:
Stradmann, Yannik, Billaudelle, Sebastian, Breitwieser, Oliver, Ebert, Falk Leonard, Emmel, Arne, Husmann, Dan, Ilmberger, Joscha, Müller, Eric, Spilger, Philipp, Weis, Johannes, Schemmel, Johannes
Publikováno v:
in IEEE Open Journal of Circuits and Systems, vol. 3, pp. 252-262, 2022
We present the BrainScaleS-2 mobile system as a compact analog inference engine based on the BrainScaleS-2 ASIC and demonstrate its capabilities at classifying a medical electrocardiogram dataset. The analog network core of the ASIC is utilized to pe
Externí odkaz:
http://arxiv.org/abs/2103.15960