Zobrazeno 1 - 10
of 55
pro vyhledávání: '"Marcel Oberlaender"'
Autor:
Paula Baum, Anna Beinhauer, Lara Zirwes, Linda Loenneker, Ronald Jabs, Rajeevan T. Narayanan, Marcel Oberlaender, Gerald Seifert, Helmut Kettenmann, Christian Steinhäuser
Publikováno v:
iScience, Vol 27, Iss 10, Pp 111043- (2024)
Summary: Astrocytes and oligodendrocytes in the ventrobasal thalamus are electrically coupled through gap junctions. We have previously shown that these cells form large panglial networks, which have a key role in the transfer of energy substrates to
Externí odkaz:
https://doaj.org/article/c812d3324e424deea19c757ab5b7a461
Publikováno v:
PLoS Computational Biology, Vol 20, Iss 4, p e1011468 (2024)
Neurons in the cerebral cortex receive thousands of synaptic inputs per second from thousands of presynaptic neurons. How the dendritic location of inputs, their timing, strength, and presynaptic origin, in conjunction with complex dendritic physiolo
Externí odkaz:
https://doaj.org/article/ce3cff420a6047cf8d74850cc27144c2
Autor:
Jan Boelts, Philipp Harth, Richard Gao, Daniel Udvary, Felipe Yáñez, Daniel Baum, Hans-Christian Hege, Marcel Oberlaender, Jakob H Macke
Publikováno v:
PLoS Computational Biology, Vol 19, Iss 9, p e1011406 (2023)
Recent advances in connectomics research enable the acquisition of increasing amounts of data about the connectivity patterns of neurons. How can we use this wealth of data to efficiently derive and test hypotheses about the principles underlying the
Externí odkaz:
https://doaj.org/article/9ebf71dcc8994f13a10da94b297b793c
Autor:
Christiaan P. J. de Kock, Jean Pie, Anton W. Pieneman, Rebecca A. Mease, Arco Bast, Jason M. Guest, Marcel Oberlaender, Huibert D. Mansvelder, Bert Sakmann
Publikováno v:
Communications Biology, Vol 4, Iss 1, Pp 1-14 (2021)
In order to investigate the information encoded by spiking activity in different neuronal cell types in the primary somatosensory cortex, de Kock et al performed electrophysiological recordings in untrained rats. They demonstrated that an increase in
Externí odkaz:
https://doaj.org/article/545cc6b7f83a4daf9de820113342a7e0
Autor:
Gerardo Rojas-Piloni, Jason M. Guest, Robert Egger, Andrew S. Johnson, Bert Sakmann, Marcel Oberlaender
Publikováno v:
Nature Communications, Vol 8, Iss 1, Pp 1-11 (2017)
The major output cell type of the neocortex – pyramidal tract neurons (PTs) – send axonal projections to various subcortical areas. Here the authors combined in vivo recordings, retrograde tracings, and reconstructions of PTs in rat somatosensory
Externí odkaz:
https://doaj.org/article/2118d493636d4f2f8f28af961fa9def0
Publikováno v:
Frontiers in Neuroanatomy, Vol 11 (2017)
The cytoarchitectonic subdivision of the neocortex into six layers is often used to describe the organization of the cortical circuitry, sensory-evoked signal flow or cortical functions. However, each layer comprises neuronal cell types that have dif
Externí odkaz:
https://doaj.org/article/8cf1e9ca70ca450aba5a9bb30054983e
Autor:
Jörgen Kornfeld, Sam E Benezra, Rajeevan T Narayanan, Fabian Svara, Robert Egger, Marcel Oberlaender, Winfried Denk, Michael A Long
Publikováno v:
eLife, Vol 6 (2017)
The sequential activation of neurons has been observed in various areas of the brain, but in no case is the underlying network structure well understood. Here we examined the circuit anatomy of zebra finch HVC, a cortical region that generates sequen
Externí odkaz:
https://doaj.org/article/db1a2f639d9d4eb4954e2199000f37b5
Autor:
Robert Egger, Rajeevan T Narayanan, Moritz Helmstaedter, Christiaan P J de Kock, Marcel Oberlaender
Publikováno v:
PLoS Computational Biology, Vol 8, Iss 12, p e1002837 (2012)
The three-dimensional (3D) structure of neural circuits is commonly studied by reconstructing individual or small groups of neurons in separate preparations. Investigation of structural organization principles or quantification of dendritic and axona
Externí odkaz:
https://doaj.org/article/f0973d7dc1b94adb87fca2311c6f5479
Autor:
Linus Manubens-Gil, Zhi Zhou, Hanbo Chen, Arvind Ramanathan, Xiaoxiao Liu, Yufeng Liu, Alessandro Bria, Todd Gillette, Zongcai Ruan, Jian Yang, Miroslav Radojević, Ting Zhao, Li Cheng, Lei Qu, Siqi Liu, Kristofer E. Bouchard, Lin Gu, Weidong Cai, Shuiwang Ji, Badrinath Roysam, Ching-Wei Wang, Hongchuan Yu, Amos Sironi, Daniel Maxim Iascone, Jie Zhou, Erhan Bas, Eduardo Conde-Sousa, Paulo Aguiar, Xiang Li, Yujie Li, Sumit Nanda, Yuan Wang, Leila Muresan, Pascal Fua, Bing Ye, Hai-yan He, Jochen F. Staiger, Manuel Peter, Daniel N. Cox, Michel Simonneau, Marcel Oberlaender, Gregory Jefferis, Kei Ito, Paloma Gonzalez-Bellido, Jinhyun Kim, Edwin Rubel, Hollis T. Cline, Hongkui Zeng, Aljoscha Nern, Ann-Shyn Chiang, Jianhua Yao, Jane Roskams, Rick Livesey, Janine Stevens, Tianming Liu, Chinh Dang, Yike Guo, Ning Zhong, Georgia Tourassi, Sean Hill, Michael Hawrylycz, Christof Koch, Erik Meijering, Giorgio A. Ascoli, Hanchuan Peng
Publikováno v:
Nature Methods
BigNeuron is an open community bench-testing platform with the goal of setting open standards for accurate and fast automatic neuron tracing. We gathered a diverse set of image volumes across several species that is representative of the data obtaine
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::588af12f8d381baae085b4850138e3c1
https://doi.org/10.1038/s41592-023-01848-5
https://doi.org/10.1038/s41592-023-01848-5
Autor:
Linus Manubens-Gil, Zhi Zhou, Hanbo Chen, Arvind Ramanathan, Xiaoxiao Liu, Yufeng Liu, Alessandro Bria, Todd Gillette, Zongcai Ruan, Jian Yang, Miroslav Radojević, Ting Zhao, Li Cheng, Lei Qu, Siqi Liu, Kristofer E. Bouchard, Lin Gu, Weidong Cai, Shuiwang Ji, Badrinath Roysam, Ching-Wei Wang, Hongchuan Yu, Amos Sironi, Daniel Maxim Iascone, Jie Zhou, Erhan Bas, Eduardo Conde-Sousa, Paulo Aguiar, Xiang Li, Yujie Li, Sumit Nanda, Yuan Wang, Leila Muresan, Pascal Fua, Bing Ye, Hai-yan He, Jochen F. Staiger, Manuel Peter, Daniel N. Cox, Michel Simonneau, Marcel Oberlaender, Gregory Jefferis, Kei Ito, Paloma Gonzalez-Bellido, Jinhyun Kim, Edwin Rubel, Hollis T. Cline, Hongkui Zeng, Aljoscha Nern, Ann-Shyn Chiang, Jianhua Yao, Jane Roskams, Rick Livesey, Janine Stevens, Tianming Liu, Chinh Dang, Yike Guo, Ning Zhong, Georgia Tourassi, Sean Hill, Michael Hawrylycz, Christof Koch, Erik Meijering, Giorgio A. Ascoli, Hanchuan Peng
Publikováno v:
bioRxiv : the preprint server for biology
BigNeuron is an open community bench-testing platform combining the expertise of neuroscientists and computer scientists toward the goal of setting open standards for accurate and fast automatic neuron reconstruction. The project gathered a diverse s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1367fb6a74afa93d20031e38a63796b8
https://doi.org/10.1101/2022.05.10.491406
https://doi.org/10.1101/2022.05.10.491406
