Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Arlo Sheridan"'
Autor:
Tri M. Nguyen, Logan A. Thomas, Jeff L. Rhoades, Ilaria Ricchi, Xintong Cindy Yuan, Arlo Sheridan, David G. C. Hildebrand, Jan Funke, Wade G. Regehr, Wei-Chung Allen Lee
Publikováno v:
Nature
The cerebellum is thought to help detect and correct errors between intended and executed commands(1,2) and is critical for social behaviours, cognition and emotion 3 Computations for motor control must be performed quicklyto correct errors in real t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2593b4381fae634984b7767ccf9cb29e
https://doi.org/10.1038/s41586-022-05471-w
https://doi.org/10.1038/s41586-022-05471-w
Autor:
Nazma Malik, Bibiana I. Ferreira, Pablo E. Hollstein, Stephanie D. Curtis, Elijah Trefts, Sammy Weiser Novak, Jingting Yu, Rebecca Gilson, Kristina Hellberg, Lingjing Fang, Arlo Sheridan, Nasun Hah, Gerald S. Shadel, Uri Manor, Reuben J. Shaw
Publikováno v:
Science. 380
Cells respond to mitochondrial poisons with rapid activation of the adenosine monophosphate–activated protein kinase (AMPK), causing acute metabolic changes through phosphorylation and prolonged adaptation of metabolism through transcriptional effe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c60372c6d0433474cdd1b48556a27a96
https://doi.org/10.1126/science.abj5559
https://doi.org/10.1126/science.abj5559
Autor:
Tri Nguyen, Jan Funke, Stephan Gerhard, Rachel Wilson, Tom Kazimiers, Philipp Schlegel, Wei-Chung Allen Lee, Renate Krause, Larissa Heinrich, Davi D. Bock, Caroline Malin-Mayor, Srinivas C. Turaga, Arlo Sheridan, Gregory S.X.E. Jefferis, Julia Buhmann, Stephan Saalfeld, Matthew Cook
Publikováno v:
Nature Methods. 18:771-774
We develop an automatic method for synaptic partner identification in insect brains and use it to predict synaptic partners in a whole-brain electron microscopy dataset of the fruit fly. The predictions can be used to infer a connectivity graph with
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0b7b1012ae8d1ba36bf9711a7cfdc41e
https://doi.org/10.1038/s41592-021-01183-7
https://doi.org/10.1038/s41592-021-01183-7
Autor:
Tri M. Nguyen, Logan A. Thomas, Jeff L. Rhoades, Ilaria Ricchi, Xintong Cindy Yuan, Arlo Sheridan, David G. C. Hildebrand, Jan Funke, Wade G. Regehr, Wei-Chung Allen Lee
Publikováno v:
Nature. 614:E18-E18
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9c3c91258b7ffcbf855990742e98d282
https://doi.org/10.1038/s41586-023-05703-7
https://doi.org/10.1038/s41586-023-05703-7
Autor:
Martin Priessner, Jonathan R. Chubb, Arlo Sheridan, Ramon Vilar, Tchern Lenn, Uri Manor, David C. A. Gaboriau, Romain F. Laine
The development of high-resolution microscopes has made it possible to investigate cellular processes in 4D (3D over time). However, observing fast cellular dynamics remains challenging as a consequence of photobleaching and phototoxicity. These issu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6520d02267d71da1a5a3418ce4feda22
https://doi.org/10.1101/2021.11.02.466664
https://doi.org/10.1101/2021.11.02.466664
Autor:
Arnd Roth, Marra, Michael Häusser, András Simon, Claudia Racca, Kevin Staras, Arlo Sheridan, Jan Funke, Mehmet Fişek
Large-volume ultrastructural mapping approaches yield detailed circuit wiring diagrams but lack an integrated synaptic activity readout which is essential for functional interpretation of the connectome. Here we resolve this limitation by combining f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b69e1e17eba62ddd527d27e744246bc2
https://doi.org/10.1101/2021.07.07.451278
https://doi.org/10.1101/2021.07.07.451278
Autor:
Stephan Saalfeld, Philipp Schlegel, Rachel Wilson, Wei-Chung Allen Lee, Julia Buhmann, Larissa Heinrich, Stephan Gerhard, Tri Nguyen, Davi D. Bock, Srinivas C. Turaga, Jan Funke, Matthew Cook, Arlo Sheridan, Gregory S.X.E. Jefferis, Renate Krause
The study of neural circuits requires the reconstruction of neurons and the identification of synaptic connections between them. To scale the reconstruction to the size of whole-brain datasets, semi-automatic methods are needed to solve those tasks.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6dfd2acbd2e311495b0a81478855aa22
Autor:
Saba Ali, Vivek Jayaraman, Kristopher T. Jensen, J. Scott Lauritzen, Robert P. Ray, Tanya Wolff, Gerald M. Rubin, Davi D. Bock, Daniel B. Turner-Evans, Tyler Paterson, Arlo Sheridan
Publikováno v:
Neuron
Neural representations of head direction have been discovered in many different species. A large body of theoretical work has proposed that the dynamics associated with these representations might be generated, maintained, and updated by recurrent ne
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::61fc2f569f0730f9a81c97c833e28711
Autor:
Fabian Tschopp, William Grisaitis, Chandan Singh, Arlo Sheridan, Srinivas C. Turaga, Jan Funke, Stephan Saalfeld
Publikováno v:
Digital.CSIC. Repositorio Institucional del CSIC
instname
instname
We present a method combining affinity prediction with region agglomeration, which improves significantly upon the state of the art of neuron segmentation from electron microscopy (EM) in accuracy and scalability. Our method consists of a 3D U-Net, t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6cb40e1799d5a0298c619351ca3bbdb5
http://arxiv.org/abs/1709.02974
http://arxiv.org/abs/1709.02974