COMPRIME - COnhecer Mais PaRa Intervir MElhor: Preliminary Mapping of Municipal Level Determinants of COVID-19 Transmission in Portugal at Different Moments of the 1st Epidemic Wave

Autor: Sousa, P, Da, Costa, NM, Da Costa, EM, Rocha, J, Ricoca Peixoto, V, Campos Fernandes, A, Gaspar, R, Duarte-Ramos, F, Abrantes, P, Leite, A

Background: The role of demographic and socio-economic determinants of COVID-19 transmission is still unclear and is expected to vary in different contexts and epidemic periods. Exploring such determinants may generate a hypothesis about transmission

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______1406::0bea4b6ed7b47adc1841f95fbb86252f
https://hdl.handle.net/10216/149521

Functional connectomics reveals general wiring rule in mouse visual cortex.

Autor: Ding Z; Department of Neuroscience & Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, TX, USA.; Department of Ophthalmology, Byers Eye Institute, Stanford University School of Medicine, Stanford, CA, USA.; Stanford Bio-X, Stanford University, Stanford, CA, USA.; Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA., Fahey PG; Department of Neuroscience & Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, TX, USA.; Department of Ophthalmology, Byers Eye Institute, Stanford University School of Medicine, Stanford, CA, USA.; Stanford Bio-X, Stanford University, Stanford, CA, USA.; Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA., Papadopoulos S; Department of Neuroscience & Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, TX, USA.; Department of Ophthalmology, Byers Eye Institute, Stanford University School of Medicine, Stanford, CA, USA.; Stanford Bio-X, Stanford University, Stanford, CA, USA.; Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA., Wang EY; Department of Neuroscience & Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, TX, USA., Celii B; Department of Neuroscience & Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, TX, USA.; Department of Electrical and Computer Engineering, Rice University, Houston, USA., Papadopoulos C; Department of Neuroscience & Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, TX, USA., Chang A; Department of Neuroscience & Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, TX, USA., Kunin AB; Department of Neuroscience & Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, TX, USA.; Department of Mathematics, Creighton University, Omaha, USA., Tran D; Department of Neuroscience & Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, TX, USA., Fu J; Department of Neuroscience & Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, TX, USA., Ding Z; Department of Neuroscience & Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, TX, USA., Patel S; Department of Neuroscience & Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, TX, USA.; Department of Ophthalmology, Byers Eye Institute, Stanford University School of Medicine, Stanford, CA, USA.; Stanford Bio-X, Stanford University, Stanford, CA, USA.; Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA., Ntanavara L; Department of Neuroscience & Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, TX, USA.; Department of Ophthalmology, Byers Eye Institute, Stanford University School of Medicine, Stanford, CA, USA.; Stanford Bio-X, Stanford University, Stanford, CA, USA.; Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA., Froebe R; Department of Neuroscience & Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, TX, USA.; Department of Ophthalmology, Byers Eye Institute, Stanford University School of Medicine, Stanford, CA, USA.; Stanford Bio-X, Stanford University, Stanford, CA, USA.; Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA., Ponder K; Department of Neuroscience & Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, TX, USA., Muhammad T; Department of Neuroscience & Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, TX, USA., Alexander Bae J; Princeton Neuroscience Institute, Princeton University, Princeton, USA.; Electrical and Computer Engineering Department, Princeton University, Princeton, USA., Bodor AL; Allen Institute for Brain Science, Seattle, USA., Brittain D; Allen Institute for Brain Science, Seattle, USA., Buchanan J; Allen Institute for Brain Science, Seattle, USA., Bumbarger DJ; Allen Institute for Brain Science, Seattle, USA., Castro MA; Princeton Neuroscience Institute, Princeton University, Princeton, USA., Cobos E; Department of Neuroscience & Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, TX, USA., Dorkenwald S; Princeton Neuroscience Institute, Princeton University, Princeton, USA.; Computer Science Department, Princeton University, Princeton, USA., Elabbady L; Allen Institute for Brain Science, Seattle, USA., Halageri A; Princeton Neuroscience Institute, Princeton University, Princeton, USA., Jia Z; Princeton Neuroscience Institute, Princeton University, Princeton, USA.; Computer Science Department, Princeton University, Princeton, USA., Jordan C; Princeton Neuroscience Institute, Princeton University, Princeton, USA., Kapner D; Allen Institute for Brain Science, Seattle, USA., Kemnitz N; Princeton Neuroscience Institute, Princeton University, Princeton, USA., Kinn S; Allen Institute for Brain Science, Seattle, USA., Lee K; Princeton Neuroscience Institute, Princeton University, Princeton, USA.; Brain & Cognitive Sciences Department, Massachusetts Institute of Technology, Cambridge, USA., Li K; Computer Science Department, Princeton University, Princeton, USA., Lu R; Princeton Neuroscience Institute, Princeton University, Princeton, USA., Macrina T; Princeton Neuroscience Institute, Princeton University, Princeton, USA.; Computer Science Department, Princeton University, Princeton, USA., Mahalingam G; Allen Institute for Brain Science, Seattle, USA., Mitchell E; Princeton Neuroscience Institute, Princeton University, Princeton, USA., Mondal SS; Princeton Neuroscience Institute, Princeton University, Princeton, USA.; Electrical and Computer Engineering Department, Princeton University, Princeton, USA., Mu S; Princeton Neuroscience Institute, Princeton University, Princeton, USA., Nehoran B; Princeton Neuroscience Institute, Princeton University, Princeton, USA.; Computer Science Department, Princeton University, Princeton, USA., Popovych S; Princeton Neuroscience Institute, Princeton University, Princeton, USA.; Computer Science Department, Princeton University, Princeton, USA., Schneider-Mizell CM; Allen Institute for Brain Science, Seattle, USA., Silversmith W; Princeton Neuroscience Institute, Princeton University, Princeton, USA., Takeno M; Allen Institute for Brain Science, Seattle, USA., Torres R; Allen Institute for Brain Science, Seattle, USA., Turner NL; Princeton Neuroscience Institute, Princeton University, Princeton, USA.; Computer Science Department, Princeton University, Princeton, USA., Wong W; Princeton Neuroscience Institute, Princeton University, Princeton, USA., Wu J; Princeton Neuroscience Institute, Princeton University, Princeton, USA., Yin W; Allen Institute for Brain Science, Seattle, USA., Yu SC; Princeton Neuroscience Institute, Princeton University, Princeton, USA., Yatsenko D; Department of Neuroscience & Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, TX, USA.; DataJoint Inc., Houston, TX, USA., Froudarakis E; Department of Neuroscience & Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, TX, USA.; Department of Basic Sciences, Faculty of Medicine, University of Crete, Heraklion, Greece.; Institute of Molecular Biology and Biotechnology, Foundation for Research and Technology Hellas, Heraklion, Greece., Sinz F; Department of Neuroscience & Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, TX, USA.; Institute for Bioinformatics and Medical Informatics, University Tübingen, Tübingen, Germany.; Institute for Computer Science and Campus Institute Data Science, University Göttingen, Göttingen, Germany., Josić K; Departments of Mathematics, Biology and Biochemistry, University of Houston, Houston, USA., Rosenbaum R; Departments of Applied and Computational Mathematics and Statistics and Biological Sciences, University of Notre Dame, Notre Dame, USA., Sebastian Seung H; Princeton Neuroscience Institute, Princeton University, Princeton, USA., Collman F; Allen Institute for Brain Science, Seattle, USA., da Costa NM; Allen Institute for Brain Science, Seattle, USA., Clay Reid R; Allen Institute for Brain Science, Seattle, USA., Walker EY; Department of Neurobiology & Biophysics, University of Washington, Seattle, USA.; Computational Neuroscience Center, University of Washington, Seattle, USA., Pitkow X; Department of Neuroscience & Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, TX, USA.; Department of Electrical and Computer Engineering, Rice University, Houston, USA.; Department of Computer Science, Rice University, Houston, TX, USA.; Neuroscience Institute, Carnegie Mellon University, Pittsburgh, PA, USA.; Department of Machine Learning, Carnegie Mellon University, Pittsburgh, PA, USA., Reimer J; Department of Neuroscience & Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, TX, USA., Tolias AS; Department of Neuroscience & Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, TX, USA.; Department of Ophthalmology, Byers Eye Institute, Stanford University School of Medicine, Stanford, CA, USA.; Stanford Bio-X, Stanford University, Stanford, CA, USA.; Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA.; Department of Electrical and Computer Engineering, Rice University, Houston, USA.; Department of Electrical Engineering, Stanford University, Stanford, CA, USA.

Publikováno v: BioRxiv : the preprint server for biology [bioRxiv] 2024 Oct 14. Date of Electronic Publication: 2024 Oct 14.

Foundation model of neural activity predicts response to new stimulus types and anatomy.

Autor: Wang EY; Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, USA.; Department of Neuroscience, Baylor College of Medicine, Houston, USA., Fahey PG; Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, USA.; Department of Neuroscience, Baylor College of Medicine, Houston, USA.; Department of Ophthalmology, Byers Eye Institute, Stanford University School of Medicine, Stanford, CA, US.; Stanford Bio-X, Stanford University, Stanford, CA, US.; Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, US., Ding Z; Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, USA.; Department of Neuroscience, Baylor College of Medicine, Houston, USA.; Department of Ophthalmology, Byers Eye Institute, Stanford University School of Medicine, Stanford, CA, US.; Stanford Bio-X, Stanford University, Stanford, CA, US.; Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, US., Papadopoulos S; Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, USA.; Department of Neuroscience, Baylor College of Medicine, Houston, USA., Ponder K; Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, USA.; Department of Neuroscience, Baylor College of Medicine, Houston, USA., Weis MA; Institute of Computer Science and Campus Institute Data Science, University Göttingen, Germany., Chang A; Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, USA.; Department of Neuroscience, Baylor College of Medicine, Houston, USA., Muhammad T; Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, USA.; Department of Neuroscience, Baylor College of Medicine, Houston, USA., Patel S; Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, USA.; Department of Neuroscience, Baylor College of Medicine, Houston, USA.; Department of Ophthalmology, Byers Eye Institute, Stanford University School of Medicine, Stanford, CA, US.; Stanford Bio-X, Stanford University, Stanford, CA, US.; Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, US., Ding Z; Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, USA.; Department of Neuroscience, Baylor College of Medicine, Houston, USA., Tran D; Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, USA.; Department of Neuroscience, Baylor College of Medicine, Houston, USA., Fu J; Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, USA.; Department of Neuroscience, Baylor College of Medicine, Houston, USA., Schneider-Mizell CM; Allen Institute for Brain Science, Seattle, WA, USA., Reid RC; Allen Institute for Brain Science, Seattle, WA, USA., Collman F; Allen Institute for Brain Science, Seattle, WA, USA., da Costa NM; Allen Institute for Brain Science, Seattle, WA, USA., Franke K; Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, USA.; Department of Neuroscience, Baylor College of Medicine, Houston, USA.; Department of Ophthalmology, Byers Eye Institute, Stanford University School of Medicine, Stanford, CA, US.; Stanford Bio-X, Stanford University, Stanford, CA, US.; Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, US., Ecker AS; Institute of Computer Science and Campus Institute Data Science, University Göttingen, Germany.; Max Planck Institute for Dynamics and Self-Organization, Göttingen, Germany., Reimer J; Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, USA.; Department of Neuroscience, Baylor College of Medicine, Houston, USA., Pitkow X; Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, USA.; Department of Neuroscience, Baylor College of Medicine, Houston, USA.; Department of Electrical and Computer Engineering, Rice University, Houston, TX, USA., Sinz FH; Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, USA.; Department of Neuroscience, Baylor College of Medicine, Houston, USA.; Institute of Computer Science and Campus Institute Data Science, University Göttingen, Germany.; Institute for Bioinformatics and Medical Informatics, University of Tübingen, Germany., Tolias AS; Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, USA.; Department of Neuroscience, Baylor College of Medicine, Houston, USA.; Department of Ophthalmology, Byers Eye Institute, Stanford University School of Medicine, Stanford, CA, US.; Stanford Bio-X, Stanford University, Stanford, CA, US.; Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, US.; Department of Electrical Engineering, Stanford University, Stanford, CA, US.

Publikováno v: BioRxiv : the preprint server for biology [bioRxiv] 2024 Aug 31. Date of Electronic Publication: 2024 Aug 31.

Ultrastructural differences impact cilia shape and external exposure across cell classes in the visual cortex.

Autor: Ott CM; Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA 20147, USA. Electronic address: ottc@janelia.hhmi.org., Torres R; Allen Institute for Brain Science, Seattle, WA 98109, USA., Kuan TS; Department of Physics, University at Albany, State University of New York, Albany, NY 12222, USA., Kuan A; Department of Neurobiology, Harvard Medical School, Boston, MA 02115, USA., Buchanan J; Allen Institute for Brain Science, Seattle, WA 98109, USA., Elabbady L; Allen Institute for Brain Science, Seattle, WA 98109, USA; University of Washington, Seattle, WA 98195, USA., Seshamani S; Allen Institute for Neural Dynamics, Seattle, WA 98109, USA., Bodor AL; Allen Institute for Brain Science, Seattle, WA 98109, USA., Collman F; Allen Institute for Brain Science, Seattle, WA 98109, USA., Bock DD; Larner College of Medicine, University of Vermont, Burlington, VT 05405, USA., Lee WC; Department of Neurobiology, Harvard Medical School, Boston, MA 02115, USA., da Costa NM; Allen Institute for Brain Science, Seattle, WA 98109, USA., Lippincott-Schwartz J; Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA 20147, USA. Electronic address: lippincottschwartzj@janelia.hhmi.org.

Publikováno v: Current biology : CB [Curr Biol] 2024 Jun 03; Vol. 34 (11), pp. 2418-2433.e4. Date of Electronic Publication: 2024 May 14.

Multi-layered maps of neuropil with segmentation-guided contrastive learning.

Autor: Dorkenwald S; Google Research, Mountain View, CA, USA.; Princeton Neuroscience Institute, Princeton University, Princeton, NJ, USA.; Computer Science Department, Princeton University, Princeton, NJ, USA., Li PH; Google Research, Mountain View, CA, USA., Januszewski M; Google Research, Zürich, Switzerland., Berger DR; Department of Molecular and Cellular Biology, Center for Brain Science, Harvard, Cambridge, MA, USA., Maitin-Shepard J; Google Research, Mountain View, CA, USA., Bodor AL; Allen Institute for Brain Science, Seattle, WA, USA., Collman F; Allen Institute for Brain Science, Seattle, WA, USA., Schneider-Mizell CM; Allen Institute for Brain Science, Seattle, WA, USA., da Costa NM; Allen Institute for Brain Science, Seattle, WA, USA., Lichtman JW; Department of Molecular and Cellular Biology, Center for Brain Science, Harvard, Cambridge, MA, USA., Jain V; Google Research, Mountain View, CA, USA. viren@google.com.

Publikováno v: Nature methods [Nat Methods] 2023 Dec; Vol. 20 (12), pp. 2011-2020. Date of Electronic Publication: 2023 Nov 20.