Thalamic integration of basal ganglia and cerebellar circuits during motor learning.

Autor: Roth RH; Department of Neurosurgery, Stanford University, Stanford, CA 94305, USA.; Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD 20815, USA., Muniak MA; Vollum Institute, Oregon Health and Science University, Portland, OR 97239, USA., Huang CJ; Department of Neurosurgery, Stanford University, Stanford, CA 94305, USA., Hwang FJ; Department of Neurosurgery, Stanford University, Stanford, CA 94305, USA.; Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD 20815, USA., Sun Y; Department of Neurosurgery, Stanford University, Stanford, CA 94305, USA.; Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD 20815, USA., Min C; Vollum Institute, Oregon Health and Science University, Portland, OR 97239, USA., Mao T; Vollum Institute, Oregon Health and Science University, Portland, OR 97239, USA., Ding JB; Department of Neurosurgery, Stanford University, Stanford, CA 94305, USA.; Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD 20815, USA.; Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA 94305, USA.; The Phil & Penny Knight Initiative for Brain Resilience at the Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA 94305, USA.; Lead contact.

Publikováno v: BioRxiv : the preprint server for biology [bioRxiv] 2024 Nov 01. Date of Electronic Publication: 2024 Nov 01.

Intelligent Clinic Nurse Scheduling Considering Nurses Paired with Doctors and Preference of Nurses.

Autor: Tsao YC; Department of Industrial Management, National Taiwan University of Science and Technology, Taipei, Taiwan. yctsao@mail.ntust.edu.tw.; Artificial Intelligence for Operations Management Research Center, National Taiwan University of Science and Technology, Taipei, Taiwan. yctsao@mail.ntust.edu.tw., Chen D; Department of Industrial Management, National Taiwan University of Science and Technology, Taipei, Taiwan.; Artificial Intelligence for Operations Management Research Center, National Taiwan University of Science and Technology, Taipei, Taiwan., Hwang FJ; Department of Business Management, National Sun Yat-sen University, Kaohsiung, Taiwan., Linh VT; Department of Industrial Management, National Taiwan University of Science and Technology, Taipei, Taiwan.; Artificial Intelligence for Operations Management Research Center, National Taiwan University of Science and Technology, Taipei, Taiwan.

Publikováno v: Journal of medical systems [J Med Syst] 2024 Aug 12; Vol. 48 (1), pp. 75. Date of Electronic Publication: 2024 Aug 12.

Machine learning and deep learning methods for wireless network applications

Autor: Chen, ACH, Jia, WK, Hwang, FJ, Liu, G, Song, F, Pu, L

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______363::51c9a0dcd7bd3f58f0b5dcffba49da1d
https://hdl.handle.net/10453/170310

A positively tuned voltage indicator for extended electrical recordings in the brain.

Autor: Evans SW; Department of Neurobiology, Stanford University Medical Center, Stanford, CA, USA., Shi DQ; Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China., Chavarha M; Department of Bioengineering, Stanford University, Stanford, CA, USA., Plitt MH; Department of Neurobiology, Stanford University Medical Center, Stanford, CA, USA., Taxidis J; Department of Neurology, UCLA David Geffen School of Medicine, Los Angeles, CA, USA.; Program in Neurosciences & Mental Health, Hospital for Sick Children, Toronto, Ontario, Canada.; Department of Physiology, University of Toronto, Toronto, Ontario, Canada.; Program in Neurosciences & Mental Health, Hospital for Sick Children, Toronto, Ontario, Canada.; Department of Physiology, University of Toronto, Toronto, Ontario, Canada., Madruga B; Department of Neurology, UCLA David Geffen School of Medicine, Los Angeles, CA, USA., Fan JL; UC Berkeley/UCSF Joint Program in Bioengineering, University of California Berkeley, Berkeley, CA, USA., Hwang FJ; Department of Neurosurgery, Stanford University Medical Center, Stanford, CA, USA., van Keulen SC; Department of Computer Science, Stanford University, Stanford, CA, USA., Suomivuori CM; Department of Computer Science, Stanford University, Stanford, CA, USA., Pang MM; Department of Neurobiology, Stanford University Medical Center, Stanford, CA, USA., Su S; Department of Neurobiology, Stanford University Medical Center, Stanford, CA, USA., Lee S; Department of Neurobiology, Stanford University Medical Center, Stanford, CA, USA., Hao YA; Department of Neurobiology, Stanford University Medical Center, Stanford, CA, USA.; Department of Bioengineering, Stanford University, Stanford, CA, USA., Zhang G; Department of Neurobiology, Stanford University Medical Center, Stanford, CA, USA., Jiang D; Department of Neurobiology, Stanford University Medical Center, Stanford, CA, USA., Pradhan L; Department of Neurobiology, Stanford University Medical Center, Stanford, CA, USA., Roth RH; Department of Neurosurgery, Stanford University Medical Center, Stanford, CA, USA., Liu Y; Department of Neurosurgery, Stanford University Medical Center, Stanford, CA, USA.; Department of Ophthalmology, Stanford University Medical Center, Stanford, CA, USA., Dorian CC; Department of Neurology, UCLA David Geffen School of Medicine, Los Angeles, CA, USA., Reese AL; Institute for Genomic Medicine, Columbia University, New York, NY, USA., Negrean A; Department of Neuroscience, Columbia University, New York, NY, USA., Losonczy A; Department of Neuroscience, Columbia University, New York, NY, USA.; Mortimer B. Zuckerman Mind Brain Behavior Institute, New York, NY, USA.; Kavli Institute for Brain Science, New York, NY, USA., Makinson CD; Institute for Genomic Medicine, Columbia University, New York, NY, USA.; Department of Neurology, Columbia University, New York, NY, USA., Wang S; Department of Ophthalmology, Stanford University Medical Center, Stanford, CA, USA., Clandinin TR; Department of Neurobiology, Stanford University Medical Center, Stanford, CA, USA., Dror RO; Department of Computer Science, Stanford University, Stanford, CA, USA.; Department of Structural Biology, Stanford University School of Medicine, Stanford, CA, USA.; Institute for Computational and Mathematical Engineering, Stanford University, Stanford, CA, USA.; Department of Molecular and Cellular Physiology, Stanford University, Stanford, USA., Ding JB; Department of Neurosurgery, Stanford University Medical Center, Stanford, CA, USA.; Department of Neurology and Neurological Sciences, Stanford University Medical Center, Stanford, CA, USA., Ji N; Program in Neurosciences & Mental Health, Hospital for Sick Children, Toronto, Ontario, Canada.; Department of Molecular and Cell Biology, University of California Berkeley, Berkeley, CA, USA.; Department of Physics, University of California Berkeley, Berkeley, CA, USA.; Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, CA, USA.; Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA., Golshani P; Department of Neurology, UCLA David Geffen School of Medicine, Los Angeles, CA, USA.; Semel Institute for Neuroscience and Human Behavior, UCLA David Geffen School of Medicine, Los Angeles, CA, USA., Giocomo LM; Department of Neurobiology, Stanford University Medical Center, Stanford, CA, USA., Bi GQ; Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China.; Interdisciplinary Center for Brain Information, Brain Cognition and Brain Disease Institute, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China., Lin MZ; Department of Neurobiology, Stanford University Medical Center, Stanford, CA, USA. mzlin@stanford.edu.; Department of Bioengineering, Stanford University, Stanford, CA, USA. mzlin@stanford.edu.; Department of Chemical and Systems Biology, Stanford University, Stanford, USA. mzlin@stanford.edu.

Publikováno v: Nature methods [Nat Methods] 2023 Jul; Vol. 20 (7), pp. 1104-1113. Date of Electronic Publication: 2023 Jul 06.

Editorial: Machine Learning Methods for Distributed Sensor Network Applications

Autor: Chen, C-H, Chao, K-M, Hwang, FJ, Han, C, Pu, L

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______363::9a38a6e0a60120d3b18e029af98199da
https://hdl.handle.net/10453/146242