Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Lucas, Rudelt"'
Autor:
Lucas Rudelt, Daniel González Marx, F Paul Spitzner, Benjamin Cramer, Johannes Zierenberg, Viola Priesemann
Publikováno v:
PLoS Computational Biology, Vol 20, Iss 8, p e1012355 (2024)
A core challenge for the brain is to process information across various timescales. This could be achieved by a hierarchical organization of temporal processing through intrinsic mechanisms (e.g., recurrent coupling or adaptation), but recent evidenc
Externí odkaz:
https://doaj.org/article/6e745904d86847d2ad80ce96b1a06d73
Publikováno v:
PLoS Computational Biology, Vol 17, Iss 6, p e1008927 (2021)
Information processing can leave distinct footprints on the statistics of neural spiking. For example, efficient coding minimizes the statistical dependencies on the spiking history, while temporal integration of information may require the maintenan
Externí odkaz:
https://doaj.org/article/456f9f9d3b2c463da705666bf6c921c2
Autor:
Jens Wilting, Jonas Dehning, Joao Pinheiro Neto, Lucas Rudelt, Michael Wibral, Johannes Zierenberg, Viola Priesemann
Publikováno v:
Frontiers in Systems Neuroscience, Vol 12 (2018)
Neural circuits are able to perform computations under very diverse conditions and requirements. The required computations impose clear constraints on their fine-tuning: a rapid and maximally informative response to stimuli in general requires decorr
Externí odkaz:
https://doaj.org/article/745031adbcf6482b9a71d825a8d0aba1
Publikováno v:
Trends in Neurosciences
Top-down feedback in cortex is critical for guiding sensory processing, whichhas prominently been formalized in the theory of hierarchical predictive coding(hPC). However, experimental evidence for error units, which are central to thetheory, is inco
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::07ddf068d1b9165d5dd31b6581f9506b
https://hdl.handle.net/21.11116/0000-000C-8F9B-521.11116/0000-000C-982A-A
https://hdl.handle.net/21.11116/0000-000C-8F9B-521.11116/0000-000C-982A-A
Autor:
Patricia Wollstadt, Kristin K Sellers, Lucas Rudelt, Viola Priesemann, Axel Hutt, Flavio Fröhlich, Michael Wibral
Publikováno v:
PLoS Computational Biology, Vol 13, Iss 6, p e1005511 (2017)
The disruption of coupling between brain areas has been suggested as the mechanism underlying loss of consciousness in anesthesia. This hypothesis has been tested previously by measuring the information transfer between brain areas, and by taking red
Externí odkaz:
https://doaj.org/article/556766787cc34cef8398c35bcc6594fc
Publikováno v:
Neural computation. 35(1)
How are visuomotor mismatch responses in primary visual cortex embedded into cortical processing? We here show that mismatch responses can be understood as the result of a cooperation of motor and visual areas to jointly explain optic flow. This coop
Local dendritic balance enables learning of efficient representations in networks of spiking neurons
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America
How can neural networks learn to efficiently represent complex and high-dimensional inputs via local plasticity mechanisms? Classical models of representation learning assume that input weights are learned via pairwise Hebbian-like plasticity. Here,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f7b7b61732f5e2cfe056117416759f24
http://arxiv.org/abs/2010.12395
http://arxiv.org/abs/2010.12395
Publikováno v:
PLoS Computational Biology
PLoS Computational Biology, Vol 17, Iss 6, p e1008927 (2021)
PLoS Computational Biology, Vol 17, Iss 6, p e1008927 (2021)
Information processing can leave distinct footprints on the statistics of neural spiking. For example, efficient coding minimizes the statistical dependencies on the spiking history, while temporal integration of information may require the maintenan
Autor:
Joao Pinheiro Neto, Jens Wilting, Johannes Zierenberg, Jonas Dehning, Viola Priesemann, Michael Wibral, Lucas Rudelt
Publikováno v:
Frontiers in Systems Neuroscience, Vol 12 (2018)
Frontiers in Systems Neuroscience
Frontiers in Systems Neuroscience
Neural circuits are able to perform computations under very diverse conditions and requirements. The required computations impose clear constraints on their fine-tuning: a rapid and maximally informative response to stimuli in general requires decorr
Autor:
Rudelt, Lucas1,2 (AUTHOR) lucas.rudelt@ds.mpg.de, González Marx, Daniel1,2 (AUTHOR), Spitzner, F. Paul1,2 (AUTHOR), Cramer, Benjamin3 (AUTHOR), Zierenberg, Johannes1,2 (AUTHOR), Priesemann, Viola1,2,4 (AUTHOR) viola.priesemann@ds.mpg.de
Publikováno v:
PLoS Computational Biology. 8/22/2024, Vol. 20 Issue 8, p1-31. 31p.