Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Mayo Faulkner"'
Autor:
International Brain Laboratory, Valeria Aguillon, Dora E Angelaki, Hannah Bayer, Niccolo Bonacchi, Matteo Carandini, Fanny Cazettes, Gaelle Chapuis, Anne K Churchland, Yang Dan, Eric Dewitt, Mayo Faulkner, Hamish Forrest, Laura Haetzel, Michael Häusser, Sonja B Hofer, Fei Hu, Anup Khanal, Christopher Krasniak, Ines Laranjeira, Zachary F Mainen, Guido Meijer, Nathaniel Miska, Thomas D Mrsic-Flogel, Masayoshi Murakami, Jean-Paul Noel, Alejandro Pan-Vazquez, Cyrille Rossant, Joshua Sanders, Karolina Socha, Rebecca Terry, Anne E Urai, Hernando Vergara, Miles Wells, Christian Wilson, Ilana B Witten, Lauren Wool, Anthony M Zador
Publikováno v:
eLife, Vol 11 (2022)
Externí odkaz:
https://doaj.org/article/80fd4519b0bd4d0693ae16b89abbd5f7
Autor:
The International Brain Laboratory, Valeria Aguillon-Rodriguez, Dora Angelaki, Hannah Bayer, Niccolo Bonacchi, Matteo Carandini, Fanny Cazettes, Gaelle Chapuis, Anne K Churchland, Yang Dan, Eric Dewitt, Mayo Faulkner, Hamish Forrest, Laura Haetzel, Michael Häusser, Sonja B Hofer, Fei Hu, Anup Khanal, Christopher Krasniak, Ines Laranjeira, Zachary F Mainen, Guido Meijer, Nathaniel J Miska, Thomas D Mrsic-Flogel, Masayoshi Murakami, Jean-Paul Noel, Alejandro Pan-Vazquez, Cyrille Rossant, Joshua Sanders, Karolina Socha, Rebecca Terry, Anne E Urai, Hernando Vergara, Miles Wells, Christian J Wilson, Ilana B Witten, Lauren E Wool, Anthony M Zador
Publikováno v:
eLife, Vol 10 (2021)
Progress in science requires standardized assays whose results can be readily shared, compared, and reproduced across laboratories. Reproducibility, however, has been a concern in neuroscience, particularly for measurements of mouse behavior. Here, w
Externí odkaz:
https://doaj.org/article/0607a5000b744a54a235fb64586a4ba3
Publikováno v:
Journal of Open Research Software, Vol 8, Iss 1 (2020)
EIT-MESHER (https://github.com/EIT-team/Mesher) is C++ software, based on the CGAL library, which generates high quality Finite Element Model tetrahedral meshes from binary masks of 3D volume segmentations. Originally developed for biomedical applica
Externí odkaz:
https://doaj.org/article/7c11aa14180d425f9747456f3d678b3a
Autor:
Sana Hannan, Mayo Faulkner, Kirill Aristovich, James Avery, Matthew C. Walker, David S. Holder
Publikováno v:
NeuroImage, Vol 209, Iss , Pp 116525- (2020)
Electrical impedance tomography (EIT) is a medical imaging technique which reconstructs images of the internal impedance changes within an object using non-penetrating surface electrodes. To date, EIT has been used to image fast neural impedance chan
Externí odkaz:
https://doaj.org/article/569a7c5644c44673b99b95bb48e688f0
Publikováno v:
NeuroImage: Clinical, Vol 20, Iss , Pp 674-684 (2018)
Electrical Impedance Tomography (EIT) is an emerging medical imaging technique which can produce tomographic images of internal impedance changes within an object using non-penetrating surface electrodes. It has previously been used to image impedanc
Externí odkaz:
https://doaj.org/article/bb27f51ffc1d44d6b300ca2bf53375c9
Publikováno v:
Sensors, Vol 17, Iss 2, p 280 (2017)
A highly versatile Electrical Impedance Tomography (EIT) system, nicknamed the ScouseTom, has been developed. The system allows control over current amplitude, frequency, number of electrodes, injection protocol and data processing. Current is inject
Externí odkaz:
https://doaj.org/article/5cd6e4151477449ea196aae94efa25b7
Autor:
Zachary F. Mainen, Anne K. Churchland, Dora E. Angelaki, Matteo Carandini, Hamish Forrest, Guido T. Meijer, Thomas D. Mrsic-Flogel, Masayoshi Murakami, Lauren E Wool, Christian J Wilson, Hannah Bayer, Joshua I. Sanders, Eric Dewitt, Fanny Cazettes, Ilana B. Witten, Mayo Faulkner, Anthony M. Zador, Laura Haetzel, Gaelle Chapuis, Christopher Krasniak, Cyrille Rossant, Jean-Paul Noel, Anup Khanal, Niccolò Bonacchi, Alejandro Pan-Vazquez, Miles J. Wells, Michael Häusser, Ines Laranjeira, Nathaniel J Miska, Hernando Vergara, Karolina Socha, Rebecca Terry, Anne E Urai, Valeria Aguillon-Rodriguez, Yang Dan, Fei Hu, Sonja B. Hofer
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f9fc811343d9e1e5c4d09788dcf90681
https://doi.org/10.7554/elife.63711.sa2
https://doi.org/10.7554/elife.63711.sa2
Objective. Electrical impedance tomography (EIT) is an imaging technique that produces tomographic images of internal impedance changes within an object using surface electrodes. It can be used to image the slow increase in cerebral tissue impedance
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5e2a88013facfb15a7f186dad641d02a
http://hdl.handle.net/10044/1/93412
http://hdl.handle.net/10044/1/93412
Publikováno v:
Journal of Open Research Software; Vol 8, No 1 (2020); 27
Journal of Open Research Software, Vol 8, Iss 1 (2020)
Journal of Open Research Software, Vol 8, Iss 1 (2020)
EIT-MESHER ( https://github.com/EIT-team/Mesher ) is C++ software, based on the CGAL library, which generates high quality Finite Element Model tetrahedral meshes from binary masks of 3D volume segmentations. Originally developed for biomedical appli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fcd6b580e0d35896f29620e773b073ab
http://hdl.handle.net/10044/1/83265
http://hdl.handle.net/10044/1/83265
Autor:
Anup Khanal, Christian J Wilson, Jean-Paul Noel, Karolina Socha, Alejandro Pan-Vazquez, Ines Laranjeira, Fanny Cazettes, Anne E Urai, Anthony M. Zador, Gaelle Chapuis, Anne K. Churchland, Ilana B. Witten, Hamish Forrest, Cyrille Rossant, Niccolò Bonacchi, Zachary F. Mainen, Mayo Faulkner, Thomas D. Mrsic-Flogel, Rebecca Terry, Eric Dewitt, Dora E. Angelaki, Guido T. Meijer, Sonja B. Hofer, Miles J. Wells, Masayoshi Murakami, Matteo Carandini, Valeria Aguillon-Rodriguez, Hannah Bayer, Nathaniel J Miska, Lauren E Wool, Joshua I. Sanders, Laura Haetzel, Fei Hu, Christopher Krasniak, Hernando Vergara, Michael Häusser, Yang Dan
Publikováno v:
eLife
bioRxiv
eLife, Vol 10 (2021)
bioRxiv
eLife, Vol 10 (2021)
Progress in science requires standardized assays whose results can be readily shared, compared, and reproduced across laboratories. Reproducibility, however, has been a concern in neuroscience, particularly for measurements of mouse behavior. Here, w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::96a615b6231aeb63ec9dc4590e12b54a
https://doi.org/10.1101/2020.01.17.909838
https://doi.org/10.1101/2020.01.17.909838