Zobrazeno 1 - 10
of 1 207
pro vyhledávání: '"Nettekoven"'
Autor:
Caroline Nettekoven, Da Zhi, Ladan Shahshahani, Ana Luísa Pinho, Noam Saadon-Grosman, Randy Lee Buckner, Jörn Diedrichsen
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-15 (2024)
Abstract The human cerebellum is activated by a wide variety of cognitive and motor tasks. Previous functional atlases have relied on single task-based or resting-state fMRI datasets. Here, we present a functional atlas that integrates information fr
Externí odkaz:
https://doaj.org/article/bccaca185bea4e1099366bfd96060963
Autor:
Uwe Grether, Richard H. Foxton, Sabine Gruener, Claudia Korn, Atsushi Kimbara, Anja Osterwald, Elisabeth Zirwes, Sabine Uhles, Janina Thoele, Nadine Colé, Mark Rogers-Evans, Stephan Röver, Matthias Nettekoven, Rainer E. Martin, Jean-Michel Adam, Jürgen Fingerle, Caterina Bissantz, Wolfgang Guba, André Alker, Anna M. Szczesniak, Ross F. Porter, Tom J. Toguri, Franco Revelant, Agnès Poirier, Camille Perret, Lotte Winther, Antonello Caruso, Filomena Fezza, Mauro Maccarrone, Melanie E. M. Kelly, Sascha Fauser, Christoph Ullmer
Publikováno v:
Frontiers in Pharmacology, Vol 15 (2024)
IntroductionPreclinical studies suggest that cannabinoid receptor type 2 (CB2R) activation has a therapeutic effect in animal models on chronic inflammation and vascular permeability, which are key pathological features of diabetic retinopathy (DR).
Externí odkaz:
https://doaj.org/article/91d1c3e1c6e44284b2f5d719fd280ff1
Publikováno v:
eLife, Vol 13 (2024)
Functional magnetic resonance imaging (fMRI) studies have documented cerebellar activity across a wide array of tasks. However, the functional contribution of the cerebellum within these task domains remains unclear because cerebellar activity is oft
Externí odkaz:
https://doaj.org/article/540bdf4af6d648829c0ec531c4c1293e
Autor:
Müller, Werner, Nettekoven, Michaela
Panel data analysis has become an important tool in applied econometrics and the respective statistical techniques are well described in several recent textbooks. However, for an analyst using these methods there remains the task of choosing a reason
Externí odkaz:
http://epub.wu.ac.at/620/1/document.pdf
Autor:
Wang, Zizhao, Xiao, Xuesu, Nettekoven, Alexander J, Umasankar, Kadhiravan, Singh, Anika, Bommakanti, Sriram, Topcu, Ufuk, Stone, Peter
This paper presents a self-supervised Learning from Learned Hallucination (LfLH) method to learn fast and reactive motion planners for ground and aerial robots to navigate through highly constrained environments. The recent Learning from Hallucinatio
Externí odkaz:
http://arxiv.org/abs/2108.09793
Autor:
Nettekoven, Ulrike Annelies.
Proefschrift Universiteit van Amsterdam.
Auteursnaam op omslag: Ulrike Nettekoven. Met lit. opg. - Met samenvatting in het Nederlands.
Auteursnaam op omslag: Ulrike Nettekoven. Met lit. opg. - Met samenvatting in het Nederlands.
Externí odkaz:
http://dare.uva.nl/document/56666
Autor:
Nettekoven, Alexander, Topcu, Ufuk
3D printing using robots has garnered significant interest in manufacturing and construction in recent years. A robot's versatility paired with the design freedom of 3D printing offers promising opportunities for how parts and structures are built in
Externí odkaz:
http://arxiv.org/abs/2103.02063
An increasing number of laser powder bed fusion machines use off-axis infrared cameras to improve online monitoring and data-driven control capabilities. However, there is still a severe lack of algorithmic solutions to properly process the infrared
Externí odkaz:
http://arxiv.org/abs/2011.09065