Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Layer, Moritz"'
Publikováno v:
PRX Life, 2, 013013 (2024)
Recent advancements in measurement techniques have resulted in an increasing amount of data on neural activities recorded in parallel, revealing largely heterogeneous correlation patterns across neurons. Yet, the mechanistic origin of this heterogene
Externí odkaz:
http://arxiv.org/abs/2308.00421
Autor:
Fischer, Kirsten, René, Alexandre, Keup, Christian, Layer, Moritz, Dahmen, David, Helias, Moritz
Publikováno v:
Phys. Rev. Research 4, 043143 (2022)
Understanding the functional principles of information processing in deep neural networks continues to be a challenge, in particular for networks with trained and thus non-random weights. To address this issue, we study the mapping between probabilit
Externí odkaz:
http://arxiv.org/abs/2202.04925
Remarkable progress can be observed in recent years in the controlled emission, guiding and detection of coherent, free electrons. Those methods were applied in matter wave interferometers leading to high phase sensitivities and novel sensor technolo
Externí odkaz:
http://arxiv.org/abs/1703.09638
Autor:
Fischer, Kirsten, René, Alexandre, Keup, Christian, Layer, Moritz, Dahmen, David, Helias, Moritz
Bernstein Conference 2022 abstract. http://bernstein-conference.de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1b02600b5c9b6c82506626ac55515de0
Autor:
Layer, Moritz, Senk, Johanna, Essink, Simon, van Meegen, Alexander, Bos, Hannah, Helias, Moritz
Publikováno v:
Frontiers in neuroinformatics 16, 835657 (2022). doi:10.3389/fninf.2022.835657
Frontiers in neuroinformatics 16, 835657 (2022). doi:10.3389/fninf.2022.835657
Published by Frontiers Research Foundation, Lausanne
Published by Frontiers Research Foundation, Lausanne
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dbcf36caca209fc08724f64407204e1a
Autor:
Layer, Moritz
Publikováno v:
Jülich : Forschungszentrum Jülich GmbH Zentralbibliothek, Verlag, Schriften des Forschungszentrums Jülich Reihe Information / Information 85, xiii, 165 (2022). = Dissertation, RWTH Aachen University, 2022
Jülich : Forschungszentrum Jülich GmbH, Zentralbibliothek, Verlag, Schriften des Forschungszentrums Jülich. Reihe Information = Information 85, 1 Online-Ressource (xiii, 165 Seiten) : Illustrationen, Diagramme (2022). doi:10.18154/RWTH-2022-09916 = Dissertation, RWTH Aachen University, 2022
Jülich : Forschungszentrum Jülich GmbH, Zentralbibliothek, Verlag, Schriften des Forschungszentrums Jülich. Reihe Information = Information 85, 1 Online-Ressource (xiii, 165 Seiten) : Illustrationen, Diagramme (2022). doi:10.18154/RWTH-2022-09916 = Dissertation, RWTH Aachen University, 2022
The cerebral cortex, the outer layer of mammalian brains, comprises a vast number of neurons arranged and connected in a highly organized fashion. The likelihood of neurons to be connected and how fast they may exchange signals depends, among other p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::4c225b1f874847ecd01cf95c595a83ec
https://hdl.handle.net/2128/32732
https://hdl.handle.net/2128/32732
Akademický článek
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Autor:
Dahmen, David, Layer, Moritz, Helias, Moritz, Deutz, Lukas, Dabrowska, Paulina, Voges, Nicole, von Papen, Michael, Brochier, Thomas, Riehle, Alexa, Diesmann, Markus, Grün, Sonja
Publikováno v:
SfN Global Connectome, virtual, worldwide, 2021-01-11-2021-01-13
The cerebral cortex is a network of subnetworks that is organized onvarious spatial scales. Understanding how neurons communicate at thedifferent scales is crucial for understanding brain dynamics andfunction. On the microscopic scale the connectivit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::2f007b08ff05892c5896bc93b7f084c5
https://hdl.handle.net/2128/25923
https://hdl.handle.net/2128/25923
Autor:
Layer, Moritz, Dahmen, David, Helias, Moritz, Deutz, Lukas, Voges, Nicole, Grün, Sonja, Diesmann, Markus, Dabrowska, Paulina, Papen, Michael von
Publikováno v:
Bernstein Conference 2019, Berlin, Germany, 2019-09-17-2019-09-20
Experimental findings suggest that cortical networks operate in a balanced state [1] in which strong recurrent inhibition suppresses single cell input correlations [2,3]. The balanced state, however, only restricts the average correlations in the net
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ea2a5cf57c550d0dd177a8836697b913
Autor:
Dahmen, David, Layer, Moritz, Deutz, Lukas, Dąbrowska, Paulina Anna, Voges, Nicole, von Papen, Michael, Brochier, Thomas, Riehle, Alexa, Diesmann, Markus, Grün, Sonja, Helias, Moritz
Publikováno v:
eLife; 1/20/2022, p1-55, 55p