Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Saul Kato"'
Autor:
Ingrid Hums, Julia Riedl, Fanny Mende, Saul Kato, Harris S Kaplan, Richard Latham, Michael Sonntag, Lisa Traunmüller, Manuel Zimmer
Publikováno v:
eLife, Vol 5 (2016)
In animal locomotion a tradeoff exists between stereotypy and flexibility: fast long-distance travelling (LDT) requires coherent regular motions, while local sampling and area-restricted search (ARS) rely on flexible movements. We report here on a po
Externí odkaz:
https://doaj.org/article/9ee5f8b00a234069a1b68cad11e9b95b
Autor:
Morgan M. Stanton, Harsh N. Hariani, Jordan Sorokin, Patrick M. Taylor, Sara Modan, Brian G. Rash, Sneha B. Rao, Luigi Enriquez, Daphne Quang, Pei-Ken Hsu, Justin Paek, Dorah Owango, Carlos Castrillo, Justin Nicola, Pavan Ramkumar, Andy Lash, Douglas Flanzer, Kevan Shah, Saul Kato, Gaia Skibinski
Human-derived cortical organoids (hCOs) recapitulate cell diversity and 3D structure found in the human brain and offer a promising model for discovery of new gene therapies targeting neurological disorders. Adeno-associated viruses (AAVs) are the mo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::466a516133d03fc435c763e666bea00c
https://doi.org/10.1101/2023.04.13.536491
https://doi.org/10.1101/2023.04.13.536491
Autor:
Morgan M. Stanton, Sara Modan, Patrick M. Taylor, Harsh N. Hariani, Jordan Sorokin, Brian G. Rash, Sneha B. Rao, Alejandro López-Tobón, Luigi Enriquez, Brenda Dang, Dorah Owango, Shannon O’Neill, Carlos Castrillo, Justin Nicola, Kathy Ye, Robert M. Blattner, Federico Gonzalez, Dexter Antonio, Pavan Ramkumar, Andy Lash, Douglas Flanzer, Sophia Bardehle, Stefka Gyoneva, Kevan Shah, Saul Kato, Gaia Skibinski
Elevated expression of the complement component 4A (C4A) protein has been linked to an increased risk of schizophrenia (SCZ). However, there are few human models available to study the mechanisms by which C4A contributes to the development of SCZ. In
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1dc8ac78658de8889ab61eca4d9a8555
https://doi.org/10.1101/2023.01.20.524955
https://doi.org/10.1101/2023.01.20.524955
Despite decades of research, whether the C. elegans traveling-wave sinusoidal body pattern during locomotion is produced (a) by the undulations of the head followed by wave propagation down the body, or (b) via centrally coordinated posture control a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7d4f4355a788c818f145cb266ab2c72e
https://doi.org/10.1101/2022.02.01.478702
https://doi.org/10.1101/2022.02.01.478702
A set of hub neurons and non-local connectivity features support global brain dynamics in C. elegans
Publikováno v:
Current biology : CB. 32(16)
The wiring architecture of neuronal networks is assumed to be a strong determinant of their dynamical computations. An ongoing effort in neuroscience is therefore to generate comprehensive synapse-resolution connectomes alongside brain-wide activity
Autor:
Rashmi Chandra, Fatima Farah, Fernando Muñoz-Lobato, Anirudh Bokka, Kelli L. Benedetti, Chantal Brueggemann, Fatema Saifuddin, Julia M. Miller, Joy Li, Eric Chang, Aruna Varshney, Vanessa Jimenez, Anjana Baradwaj, Cibelle Nassif, Sara Alladin, Kristine Andersen, Veronica Bi, Sarah K. Nordquist, Raymond L. Dunn, Bryan Tsujimoto, Alan Tran, Alex Duong, Rebekka Paisner, Carlos E. Zuazo, Matthew A. Churgin, Christopher Fang-Yen, Martina Bremer, Saul Kato, Noelle Dominique L'Etoile, Miri K. VanHoven
Publikováno v:
SSRN Electronic Journal.
Autor:
Mark A. Tsuchida, Bin Yang, Shalin B. Mehta, Wiebke Jahr, Raymond L. Dunn, Wei Ouyang, Grace Zhang, Michael W. Anderson, Douglas P. Shepherd, Nico Stuurman, Ryan Mei, Jay R. Thiagarajah, Henry Pinkard, Kevin W. Eliceiri, Bin Li, Bryant B. Chhun, Nicholas M. Anthony, Laura Waller, Ivan Ivanov, Emma Lundberg, Loic Royer, Saul Kato, Ian Hunt-Isaak
Publikováno v:
Nat Methods
Demultiplexing methods have facilitated the widespread use of single-cell RNA sequencing (scRNAseq) experiments by lowering costs and reducing technical variations. Here, we present demuxalot: a method for probabilistic genotype inference from aligne
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fb5670c15e2216dfe53a137c137506fa
https://doi.org/10.1101/2021.05.22.443646
https://doi.org/10.1101/2021.05.22.443646
The promise of using machine learning (ML) to extract scientific insights from high dimensional datasets is tempered by the frequent presence of confounding variables, and it behooves scientists to determine whether or not a model has extracted the d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::92272a90be3ba4ecbf3b7d44ece463b9
https://doi.org/10.1101/2021.05.11.443616
https://doi.org/10.1101/2021.05.11.443616
Publikováno v:
Patterns. 3:100451
The promise of machine learning (ML) to extract insights from high-dimensional datasets is tempered by confounding variables. It behooves scientists to determine if a model has extracted the desired information or instead fallen prey to bias. Due to