Deep learning-assisted comparative analysis of animal trajectories with DeepHL

Autor: Takuya Maekawa, Kazuya Ohara, Yizhe Zhang, Matasaburo Fukutomi, Sakiko Matsumoto, Kentarou Matsumura, Hisashi Shidara, Shuhei J. Yamazaki, Ryusuke Fujisawa, Kaoru Ide, Naohisa Nagaya, Koji Yamazaki, Shinsuke Koike, Takahisa Miyatake, Koutarou D. Kimura, Hiroto Ogawa, Susumu Takahashi, Ken Yoda

Publikováno v: Nature Communications, Vol 11, Iss 1, Pp 1-15 (2020)

Comparative analysis of animal behaviour using locomotion data such as GPS data is difficult because the large amount of data makes it difficult to contrast group differences. Here the authors apply deep learning to detect and highlight trajectories

Externí odkaz: https://doaj.org/article/a6fc41cd07034a559224fe04d3413b43

Neural mechanism of experience-dependent sensory gain control in C. elegans

Autor: Yosuke Ikejiri, Yuki Tanimoto, Kosuke Fujita, Fumie Hiramatsu, Shuhei J. Yamazaki, Yuto Endo, Yasushi Iwatani, Koichi Fujimoto, Koutarou D. Kimura

Publikováno v: Neuroscience Research

Animals’ sensory systems adjust their responsiveness to environmental stimuli that vary greatly in their intensity. Here we report the neural mechanism of experience-dependent sensory adjustment, especially gain control, in the ASH nociceptive neur

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::936995e55cd672b69368c593b046c0ce
https://doi.org/10.1016/j.neures.2023.01.006

Deep learning-assisted comparative analysis of animal trajectories with DeepHL

Autor: Koji Yamazaki, Kaoru Ide, Yizhe Zhang, Koutarou D. Kimura, Ryusuke Fujisawa, Susumu Takahashi, Shinsuke Koike, Takahisa Miyatake, Hisashi Shidara, Kentarou Matsumura, Matasaburo Fukutomi, Naohisa Nagaya, Kazuya Ohara, Shuhei J. Yamazaki, Takuya Maekawa, Sakiko Matsumoto, Ken Yoda, Hiroto Ogawa

Publikováno v: Nature Communications, Vol 11, Iss 1, Pp 1-15 (2020)
Nature Communications

A comparative analysis of animal behavior (e.g., male vs. female groups) has been widely used to elucidate behavior specific to one group since pre-Darwinian times. However, big data generated by new sensing technologies, e.g., GPS, makes it difficul

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dbbddb54c1981ef5c6a4a10ef0468555
http://link.springer.com/article/10.1038/s41467-020-19105-0

Finding Discriminative Animal Behaviors from Sequential Bio-Logging Trajectory Data

Autor: Kazuya Nishi, Koutarou D. Kimura, Ichiro Takeuchi, Shuhei J. Yamazaki, Ken Yoda, Sakiko Matsumoto, Takuto Sakuma

Publikováno v: Distributed, Ambient and Pervasive Interactions: Technologies and Contexts ISBN: 9783319911304
HCI (22)

Recent advancement of bio-logging devices such as GPS sensor enables researchers in ecology to quantitatively measure animal trajectories. These animal trajectory data are often represented in the form of multi-dimensional time-series. In this paper,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::251778fa75705ec00666ebedd4f40db7
https://doi.org/10.1007/978-3-319-91131-1_10

Calcium dynamics regulating the timing of decision-making in C. elegans

Autor: Yosuke Miyanishi, Karl Emanuel Busch, Yuishi Iwasaki, Yuki Tanimoto, Koutarou D. Kimura, Junichi Nakai, Yuichi Iino, Koichi Hashimoto, Shuhei J. Yamazaki, Yuya Kawazoe, Xianfeng Fei, Kosuke Fujita, Akiko Yamazoe-Umemoto, Keiko Gengyo-Ando

Publikováno v: eLife
Tanimoto, Y, Yamazoe-Umemoto, A, Fujita, K, Kawazoe, Y, Miyanishi, Y, Yamazaki, S J, Fei, X, Busch, K E, Gengyo-Ando, K, Nakai, J, Iino, Y, Iwasaki, Y, Hashimoto, K & Kimura, K D 2017, ' Calcium dynamics regulating the timing of decision-making in C. elegans ', eLIFE, vol. 6, e21629 . https://doi.org/10.7554/eLife.21629
eLife, Vol 6 (2017)

Brains regulate behavioral responses with distinct timings. Here we investigate the cellular and molecular mechanisms underlying the timing of decision-making during olfactory navigation in Caenorhabditis elegans. We find that, based on subtle change

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3397ebaab1a7321cd1e8dd3c2703143f
http://europepmc.org/articles/PMC5441874