Zobrazeno 1 - 6
of 6
pro vyhledávání: '"John R. Stowers"'
Autor:
Ida L. Barlow, Luigi Feriani, Eleni Minga, Adam McDermott-Rouse, Thomas James O’Brien, Ziwei Liu, Maximilian Hofbauer, John R. Stowers, Erik C. Andersen, Siyu Serena Ding, André E. X. Brown
Publikováno v:
Communications Biology, Vol 5, Iss 1, Pp 1-13 (2022)
A multiplexed machine-vision-based tracking system enables the high-content analysis of C. elegans behavior in several 96-well plates at a time and shows its utility for comparisons across multiple genotypes and upon drug treatment, tackling the bott
Externí odkaz:
https://doaj.org/article/c5ad7234fda74b00af76036124539bca
Autor:
John R. Stowers, Gil G. Rosenthal, Simon M. Reader, Joachim G. Frommen, Laura Chouinard-Thuly, Spencer J. Ingley, Guillaume Rieucau, Robert Gerlai, Cynthia Tedore, Stefanie Gierszewski, Francine L. Dolins, Kevin L. Woo, Klaudia Witte
Publikováno v:
Current Zoology
Chouinard-Thuly, Laura; Gierszewski, Stefanie; Rosenthal, Gil G; Reader, Simon M; Rieucau, Guillaume; Woo, Kevin L; Gerlai, Robert; Tedore, Cynthia; Ingley, Spencer J; Stowers, John R; Frommen, Joachim G.; Dolins, Francine L; Witte, Klaudia (2017). Technical and conceptual considerations for using animated stimuli in studies of animal behavior. Current zoology, 63(1), pp. 5-19. Oxford University Press 10.1093/cz/zow104
Chouinard-Thuly, Laura; Gierszewski, Stefanie; Rosenthal, Gil G; Reader, Simon M; Rieucau, Guillaume; Woo, Kevin L; Gerlai, Robert; Tedore, Cynthia; Ingley, Spencer J; Stowers, John R; Frommen, Joachim G.; Dolins, Francine L; Witte, Klaudia (2017). Technical and conceptual considerations for using animated stimuli in studies of animal behavior. Current zoology, 63(1), pp. 5-19. Oxford University Press 10.1093/cz/zow104
© The Author (2016). Rapid technical advances in the field of computer animation (CA) and virtual reality (VR) have opened new avenues in animal behavior research. Animated stimuli are powerful tools as they offer standardization, repeatability, and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ea1d5db640f277537cce85c21b523ae6
Autor:
Peter Higgins, Wulf Haubensak, Ruth M. Fischer, Kristin Tessmar-Raible, Iain D. Couzin, Maximilian Hofbauer, Renaud Bastien, Sarfarazhussain Farooqui, Johannes Griessner, Karin Nowikovsky, John R. Stowers, Andrew Straw
Publikováno v:
Nature methods
FreemoVR is a virtual reality system for freely moving animals. The versatile platform is demonstrated in various experiments with Drosophila, zebrafish, and mice. Standard animal behavior paradigms incompletely mimic nature and thus limit our unders
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::98d151deaaf01090563e4693960f2c9b
Autor:
John R. Stowers, Maximilian Hofbauer, Axel Schmid, Anton Fuhrmann, Michael H. Dickinson, Martin Streinzer, Andrew Straw
Publikováno v:
Computer
Neuroscientists are using virtual reality systems, combined with other advances such as new molecular genetic tools and brain-recording technologies, to reveal how neuronal circuits process and act on visual information. The Web extra at http://youtu
Autor:
Daniel E. Bath, John R. Stowers, Andrew Straw, Barry J. Dickson, Andreas Poehlmann, Dorothea Hörmann
Publikováno v:
Nature Methods
Rapidly and selectively modulating the activity of defined neurons in unrestrained animals is a powerful approach in investigating the circuit mechanisms that shape behavior. In Drosophila melanogaster, temperature-sensitive silencers and activators
Autor:
Siyu Serena Ding, John R. Stowers, Adam McDermott-Rouse, André Ex Brown, Eleni Minga, Erik C. Andersen, Luigi Feriani, Ziwei Liu, Ida Barlow, Thomas James O'Brien, Maximilian Hofbauer
Publikováno v:
bioRxiv
Tracking small laboratory animals such as flies, fish, and worms is used for phenotyping in neuroscience, genetics, disease modelling, and drug discovery. Current imaging systems are limited either in spatial resolution or throughput. A system capabl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6523427558a3ee06366d81b4b631804e