Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Fabian A. Mikulasch"'
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
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3a53b3b460f771e50c24fe06858eac33
https://pubmed.ncbi.nlm.nih.gov/36283047
https://pubmed.ncbi.nlm.nih.gov/36283047
Autor:
Hanspeter A. Mallot, Sebastian A. Bruijns, Thede Witschel, Gerrit A. Ecke, Fabian A. Mikulasch, Johannes Hölscher, Aristides B. Arrenberg
Publikováno v:
Neural Computing and Applications
Zebrafish pretectal neurons exhibit specificities for large-field optic flow patterns associated with rotatory or translatory body motion. We investigate the hypothesis that these specificities reflect the input statistics of natural optic flow. Real
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e34a0ac6e648e8c1f82b795976897c45
https://doi.org/10.1007/s00521-019-04500-6
https://doi.org/10.1007/s00521-019-04500-6
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
Autor:
Sebastian Jähne, Katharina Grewe, Paola Agüi-Gonzalez, Sven Truckenbrodt, Silvio O. Rizzoli, Viola Priesemann, Helge G.H. Heuer, Fabian A. Mikulasch, Angela Vogts
Publikováno v:
Cell Reports. 34:108841
Synaptic transmission relies on the continual exocytosis and recycling of synaptic vesicles. Aged vesicle proteins are prevented from recycling and are eventually degraded. This implies that active synapses would lose vesicles and vesicle-associated
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::24725098a57ed17deee8e092d7b9a3d8
https://doi.org/10.1016/j.celrep.2021.108841
https://doi.org/10.1016/j.celrep.2021.108841
Autor:
Aristides B. Arrenberg, Fabian A. Mikulasch, Sebastian A. Bruijns, Gerrit A. Ecke, Hanspeter A. Mallot, Thede Witschel
Publikováno v:
Artificial Neural Networks and Machine Learning – ICANN 2018 ISBN: 9783030014230
Zebrafish pretectal neurons exhibit specificities for large-field optic flow patterns associated with rotatory or translatory body motion. We investigate the hypothesis that these specificities reflect the input statistics of natural optic flow. Real
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8d89d6f67257122a724ce4bc9156552f
https://doi.org/10.1007/978-3-030-01424-7_64
https://doi.org/10.1007/978-3-030-01424-7_64