Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Joergen Kornfeld"'
Autor:
Stephanie K. Bonney, Vanessa Coelho-Santos, Sheng-Fu Huang, Marc Takeno, Joergen Kornfeld, Annika Keller, Andy Y. Shih
Publikováno v:
Frontiers in Cell and Developmental Biology, Vol 10 (2022)
Electron microscopy is the primary approach to study ultrastructural features of the cerebrovasculature. However, 2D snapshots of a vascular bed capture only a small fraction of its complexity. Recent efforts to synaptically map neuronal circuitry us
Externí odkaz:
https://doaj.org/article/5484be201f2041d88532a243f42c2417
Publikováno v:
Nature Communications, Vol 10, Iss 1, Pp 1-12 (2019)
Volume electron microscopy data of brain tissue can tell us much about neural circuits, but increasingly large data sets demand automation of analysis. Here, the authors introduce cellular morphology neural networks and successfully automate a range
Externí odkaz:
https://doaj.org/article/38c48d21d4914eeab082cca5e0f1ad3b
Autor:
Philipp J. Schubert, Sven Dorkenwald, Michał Januszewski, Jonathan Klimesch, Fabian Svara, Andrei Mancu, Hashir Ahmad, Michale S. Fee, Viren Jain, Joergen Kornfeld
Publikováno v:
Nature Methods
The ability to acquire ever larger datasets of brain tissue using volume electron microscopy leads to an increasing demand for the automated extraction of connectomic information. We introduce SyConn2, an open-source connectome analysis toolkit, whic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::076a15b19620e602fed0a29a13bf4d37
https://hdl.handle.net/21.11116/0000-000C-0072-321.11116/0000-000C-0074-1
https://hdl.handle.net/21.11116/0000-000C-0072-321.11116/0000-000C-0074-1
Autor:
Shawn Mikula, Fabian Svara, Sven Dorkenwald, Joergen Kornfeld, Gregor Urban, Philipp J Schubert, Marius F Killinger
Publikováno v:
Nature Methods. 14:435-442
Teravoxel volume electron microscopy data sets from neural tissue can now be acquired in weeks, but data analysis requires years of manual labor. We developed the SyConn framework, which uses deep convolutional neural networks and random forest class
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::15d8891bc118765ceca4ec0d41c64b5f
https://doi.org/10.1038/nmeth.4206
https://doi.org/10.1038/nmeth.4206
Autor:
Kalman Katlowitz, Yevhen Tupikov, Robert Egger, Sam E. Benezra, Michel A. Picardo, Dezhe Z. Jin, Felix Moll, Joergen Kornfeld, Michael A. Long
SUMMARYSequential activation of neurons has been observed during various behavioral and cognitive processes and is thought to play a critical role in their generation. Here, we studied a circuit in the songbird forebrain that drives the performance o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9b519496771f4e9e3720172e8a502a92
https://doi.org/10.1101/864231
https://doi.org/10.1101/864231
Publikováno v:
Nature Communications
Nature Communications, Vol 10, Iss 1, Pp 1-12 (2019)
Nature Communications, Vol 10, Iss 1, Pp 1-12 (2019)
Reconstruction and annotation of volume electron microscopy data sets of brain tissue is challenging but can reveal invaluable information about neuronal circuits. Significant progress has recently been made in automated neuron reconstruction as well
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::016b0d6982a3bf4513a5f60c453a9b93
https://doi.org/10.1038/s41467-019-10836-3
https://doi.org/10.1038/s41467-019-10836-3
Publikováno v:
Cell Reports
Spinal interneurons coordinate the activity of motoneurons to generate the spatiotemporal patterns of muscle contractions required for vertebrate locomotion. It is controversial to what degree the orderly, gradual recruitment of motoneurons is determ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6c34f7cd61fc5f0c99c1ed346149eb75
https://pubmed.ncbi.nlm.nih.gov/29874581
https://pubmed.ncbi.nlm.nih.gov/29874581
Autor:
Robert Egger, Sam E. Benezra, Rajeevan T. Narayanan, Winfried Denk, Marcel Oberlaender, Fabian Svara, Michael A. Long, Joergen Kornfeld
Publikováno v:
eLife, Vol 6 (2017)
eLife
eLife
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://explore.openaire.eu/search/publication?articleId=doi_dedup___::28329ced5a72052bbe01913e05504813
https://doi.org/10.7554/elife.24364
https://doi.org/10.7554/elife.24364
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America
Proceedings of the National Academy of Sciences of the United States of America, National Academy of Sciences, 2014, 111 (16), pp.6063-6068. ⟨10.1073/pnas.1317087111⟩
Proceedings of the National Academy of Sciences
Proceedings of the National Academy of Sciences of the United States of America, National Academy of Sciences, 2014, 111 (16), pp.6063-6068. ⟨10.1073/pnas.1317087111⟩
Proceedings of the National Academy of Sciences
International audience; Learning by imitation is fundamental to both communication and social behavior and requires the conversion of complex, nonlinear sensory codes for perception into similarly complex motor codes for generating action. To underst
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f80e370dac517de689a1c689f9bd6dcb
https://europepmc.org/articles/PMC4000851/
https://europepmc.org/articles/PMC4000851/
Autor:
Fernholz, Martin H. P.1 (AUTHOR), Guggiana Nilo, Drago A.1 (AUTHOR), Bonhoeffer, Tobias1 (AUTHOR), Kist, Andreas M.2 (AUTHOR) andreas.kist@fau.de
Publikováno v:
PLoS Computational Biology. 2/29/2024, Vol. 20 Issue 2, p1-19. 19p.