Zobrazeno 1 - 10
of 906
pro vyhledávání: '"P. Machens"'
Gaussian processes are now commonly used in dimensionality reduction approaches tailored to neuroscience, especially to describe changes in high-dimensional neural activity over time. As recording capabilities expand to include neuronal populations a
Externí odkaz:
http://arxiv.org/abs/2412.16773
Associative memory architectures such as the Hopfield network have long been important conceptual and theoretical models for neuroscience and artificial intelligence. However, translating these abstract models into spiking neural networks has been su
Externí odkaz:
http://arxiv.org/abs/2411.17485
Deep feedforward and recurrent rate-based neural networks have become successful functional models of the brain, but they neglect obvious biological details such as spikes and Dale's law. Here we argue that these details are crucial in order to under
Externí odkaz:
http://arxiv.org/abs/2307.09334
Autor:
Chengqi Yan, Kai Feng, Bingkun Bao, Jing Chen, Xiang Xu, Guoyong Jiang, Yufeng Wang, Jiahe Guo, Tao Jiang, Yu Kang, Cheng Wang, Chengcheng Li, Chi Zhang, Pengjuan Nie, Shuoyuan Liu, Hans‐Günther Machens, Linyong Zhu, Xiaofan Yang, Ran Niu, Zhenbing Chen
Publikováno v:
Advanced Science, Vol 11, Iss 31, Pp n/a-n/a (2024)
Abstract Considerable progress has been made in the development of drug delivery systems for diabetic wounds. However, underlying drawbacks, such as low delivery efficiency and poor tissue permeability, have rarely been addressed. In this study, a mu
Externí odkaz:
https://doaj.org/article/672884ba46ae42e49b0963057267f19b
Publikováno v:
Signal Transduction and Targeted Therapy, Vol 9, Iss 1, Pp 1-3 (2024)
Externí odkaz:
https://doaj.org/article/01da91d6104a49d7ae5fec9ece3cd7e2
Autor:
Jun Jiang, Tanita Man, Manuela Kirsch, Samuel Knoedler, Kirstin Andersen, Judith Reiser, Julia Werner, Benjamin Trautz, Xiaobin Cong, Selma Forster, Sarah Alageel, Ulf Dornseifer, Arndt F. Schilling, Hans-Günther Machens, Haydar Kükrek, Philipp Moog
Publikováno v:
Gels, Vol 10, Iss 11, p 748 (2024)
Harnessing the body’s intrinsic resources for wound healing is becoming a rapidly advancing field in regenerative medicine research. This study investigates the effects of the topical application of a novel porcine Hypoxia Preconditioned Serum Hydr
Externí odkaz:
https://doaj.org/article/790f502d3f754abd8f02bce06093cbd6
Autor:
Hirsch, Franz, Müller, Sebastian, Machens, Michael, Staschko, Robert, Fuchs, Normen, Kästner, Markus
Publikováno v:
Journal of Materials Processing Technology 241 (2017) 164-177
This paper addresses the numerical simulation of self-piercing rivetting processes to join fibre reinforced polymers and sheet metals. Special emphasis is placed on the modelling of the deformation and failure behaviour of the composite material. Dif
Externí odkaz:
http://arxiv.org/abs/2108.08610
Autor:
Hewei Xiong, Sen Ren, Jing Chen, Xiaofan Yang, Yutian Liu, Zhao Xu, Jiahe Guo, Tao Jiang, Meng Yuan, Yang Liu, Guolei Zhang, Wenqing Li, Hans-Günther Machens, Zhenbing Chen
Publikováno v:
Stem Cell Research & Therapy, Vol 14, Iss 1, Pp 1-20 (2023)
Abstract Background Senescent adipose-derived stem cells (ASCs) exhibit reduced therapeutic efficacy during wound healing. Transcriptional regulation factors including long noncoding RNAs (lncRNAs) reportedly have essential roles in stem cell aging.
Externí odkaz:
https://doaj.org/article/eca1e37be506432bb0bbabf57ea9fca9
Learning depends on changes in synaptic connections deep inside the brain. In multilayer networks, these changes are triggered by error signals fed back from the output, generally through a stepwise inversion of the feedforward processing steps. The
Externí odkaz:
http://arxiv.org/abs/2007.05112
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.