The Neurodata Without Borders ecosystem for neurophysiological data science.

Autor: Rübel O; Scientific Data Division, Lawrence Berkeley National Laboratory, Berkeley, United States., Tritt A; Applied Mathematics and Computational Research Division, Lawrence Berkeley National Laboratory, Berkeley, United States., Ly R; Scientific Data Division, Lawrence Berkeley National Laboratory, Berkeley, United States., Dichter BK; CatalystNeuro, Benicia, United States., Ghosh S; McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, United States.; Department of Otolaryngology - Head and Neck Surgery, Harvard Medical School, Boston, United States., Niu L; MBF Bioscience, Ashburn, United States., Baker P; Allen Institute for Brain Science, Seattle, United States., Soltesz I; Department of Neurosurgery, Stanford University, Stanford, United States., Ng L; Allen Institute for Brain Science, Seattle, United States., Svoboda K; Allen Institute for Brain Science, Seattle, United States.; Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, United States., Frank L; Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, United States.; Kavli Institute for Fundamental Neuroscience, San Francisco, United States.; Departments of Physiology and Psychiatry University of California, San Francisco, San Francisco, United States., Bouchard KE; Scientific Data Division, Lawrence Berkeley National Laboratory, Berkeley, United States.; Kavli Institute for Fundamental Neuroscience, San Francisco, United States.; Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, United States.; Helen Wills Neuroscience Institute and Redwood Center for Theoretical Neuroscience, University of California, Berkeley, Berkeley, United States.; Weill Neurohub, Berkeley, United States.

Publikováno v: ELife [Elife] 2022 Oct 04; Vol. 11. Date of Electronic Publication: 2022 Oct 04.

Learning to Estimate Dynamical State with Probabilistic Population Codes

Autor: Sabes, Philip, Makin, JG, Dichter, BK, Sabes, PN

Publikováno v: Sabes, Philip; Makin, JG; Dichter, BK; & Sabes, PN. (2015). Learning to Estimate Dynamical State with Probabilistic Population Codes. UC San Francisco: Retrieved from: http://www.escholarship.org/uc/item/2626r2ts

© 2015 Makin et al.Tracking moving objects, including one’s own body, is a fundamental ability of higher organisms, playing a central role in many perceptual and motor tasks. While it is unknown how the brain learns to follow and predict the dynam

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______325::e64b8125bdf65eca5b09f471e3858a49
http://www.escholarship.org/uc/item/2626r2ts

The SONATA data format for efficient description of large-scale network models.

Autor: Dai K; Allen Institute for Brain Science, Seattle, Washington, United States of America., Hernando J; Blue Brain Project, École Polytechnique Fédérale de Lausanne (EPFL), Campus Biotech, Geneva, Switzerland., Billeh YN; Allen Institute for Brain Science, Seattle, Washington, United States of America., Gratiy SL; Allen Institute for Brain Science, Seattle, Washington, United States of America., Planas J; Blue Brain Project, École Polytechnique Fédérale de Lausanne (EPFL), Campus Biotech, Geneva, Switzerland., Davison AP; Paris-Saclay Institute of Neuroscience UMR, Centre National de la Recherche Scientifique/Université Paris-Saclay, Gif-sur-Yvette, France., Dura-Bernal S; State University of New York Downstate Medical Center, Brooklyn, New York, United States of America.; Nathan Kline Institute for Psychiatric Research, Orangeburg, New York, United States of America., Gleeson P; Department of Neuroscience, Physiology and Pharmacology, University College London, London, United Kingdom., Devresse A; Blue Brain Project, École Polytechnique Fédérale de Lausanne (EPFL), Campus Biotech, Geneva, Switzerland., Dichter BK; Department of Neurosurgery, Stanford University, Stanford, California, United States of America.; Biological Systems and Engineering, Lawrence Berkeley National Laboratory, Berkeley, California, United States of America., Gevaert M; Blue Brain Project, École Polytechnique Fédérale de Lausanne (EPFL), Campus Biotech, Geneva, Switzerland., King JG; Blue Brain Project, École Polytechnique Fédérale de Lausanne (EPFL), Campus Biotech, Geneva, Switzerland., Van Geit WAH; Blue Brain Project, École Polytechnique Fédérale de Lausanne (EPFL), Campus Biotech, Geneva, Switzerland., Povolotsky AV; Blue Brain Project, École Polytechnique Fédérale de Lausanne (EPFL), Campus Biotech, Geneva, Switzerland., Muller E; Blue Brain Project, École Polytechnique Fédérale de Lausanne (EPFL), Campus Biotech, Geneva, Switzerland., Courcol JD; Blue Brain Project, École Polytechnique Fédérale de Lausanne (EPFL), Campus Biotech, Geneva, Switzerland., Arkhipov A; Allen Institute for Brain Science, Seattle, Washington, United States of America.

Publikováno v: PLoS computational biology [PLoS Comput Biol] 2020 Feb 24; Vol. 16 (2), pp. e1007696. Date of Electronic Publication: 2020 Feb 24 (Print Publication: 2020).

The Control of Vocal Pitch in Human Laryngeal Motor Cortex.

Autor: Dichter BK; Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA 94158, USA; Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA 94143, USA; UC Berkeley and UCSF Joint Program in Bioengineering, Berkeley, CA 94720, USA., Breshears JD; Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA 94158, USA; Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA 94143, USA., Leonard MK; Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA 94158, USA; Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA 94143, USA., Chang EF; Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA 94158, USA; Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA 94143, USA; UC Berkeley and UCSF Joint Program in Bioengineering, Berkeley, CA 94720, USA. Electronic address: edward.chang@ucsf.edu.

Publikováno v: Cell [Cell] 2018 Jun 28; Vol. 174 (1), pp. 21-31.e9.

Bayesian inference of structured latent spaces from neural population activity with the orthogonal stochastic linear mixing model.

Autor: Meng, Rui¹ (AUTHOR), Bouchard, Kristofer E.^1,2,3,4 (AUTHOR) kebouchard@lbl.gov

Publikováno v: PLoS Computational Biology. 4/26/2024, Vol. 20 Issue 4, p1-26. 26p.