T
Tianyu Wang
Researcher at Cornell University
Publications - 48
Citations - 1397
Tianyu Wang is an academic researcher from Cornell University. The author has contributed to research in topics: Computer science & Artificial neural network. The author has an hindex of 8, co-authored 31 publications receiving 669 citations.
Papers
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Journal ArticleDOI
In vivo three-photon imaging of activity of GCaMP6-labeled neurons deep in intact mouse brain
Dimitre G. Ouzounov,Tianyu Wang,Mengran Wang,Danielle Feng,Nicholas G. Horton,Jean C. Cruz-Hernandez,Yu-Ting Cheng,Jacob Reimer,Andreas S. Tolias,Andreas S. Tolias,Nozomi Nishimura,Chris Xu +11 more
TL;DR: This work demonstrates that three-photon microscopy at 1,300-nm excitation enables functional imaging of GCaMP6s-labeled neurons beyond the depth limit of two-ph photon microscopy, and creates opportunities for noninvasive recording of neuronal activity with high spatial and temporal resolution deep within scattering brain tissues.
Journal ArticleDOI
Three-photon imaging of mouse brain structure and function through the intact skull.
Tianyu Wang,Dimitre G. Ouzounov,Chunyan Wu,Nicholas G. Horton,Bin Zhang,Cheng-Hsun Wu,Yanping Zhang,Yanping Zhang,Mark J. Schnitzer,Mark J. Schnitzer,Chris Xu +10 more
TL;DR: It is demonstrated that the effects of aberrations and scattering caused by the mouse skull can be reduced with three-photon microscopy, which allows structural and functional imaging of the brain through an intact skull.
Journal ArticleDOI
Deep physical neural networks trained with backpropagation
Logan G. Wright,Tatsuhiro Onodera,Martin M. Stein,Tianyu Wang,Darren T. Schachter,Zoey Hu,Peter L. McMahon +6 more
TL;DR: Physical Neural Networks as discussed by the authors automatically train the functionality of any sequence of real physical systems, directly, using backpropagation, the same technique used for modern deep neural networks, using three diverse physical systems-optical, mechanical, and electrical.
Journal ArticleDOI
Generation of intense 100 fs solitons tunable from 2 to 43 μm in fluoride fiber
TL;DR: In this paper, the authors reported a fiber-based system that generates femtosecond pulses with 5 nJ energy, continuously wavelength-tunable over 2.3 μm through the soliton self-frequency shift (SSFS) in fluoride fibers.
Posted ContentDOI
Functional connectomics spanning multiple areas of mouse visual cortex
J. Alexander Bae,Mahaly Baptiste,Agnes L. Bodor,Derrick Brittain,JoAnn Buchanan,Daniel J. Bumbarger,Manuel Castro,Brendan Celii,Brendan Celii,Erick Cobos,Forrest Collman,Nuno Maçarico da Costa,Sven Dorkenwald,Leila Elabbady,Paul G. Fahey,Tim P. Fliss,Emmanouil Froudarakis,Emmanouil Froudarakis,Jay Gager,Clare Gamlin,Akhilesh Halageri,James Hebditch,Zhen Jia,Chris S. Jordan,Daniel Kapner,Nico Kemnitz,Sam Kinn,Selden Koolman,Kai Kuehner,Kisuk Lee,Kisuk Lee,Kai Li,Ran Lu,Thomas Macrina,Gayathri Mahalingam,Sarah McReynolds,Elanine Miranda,Eric Mitchell,Shanka Subhra Mondal,Merlin Moore,Shang Mu,Taliah Muhammad,Barak Nehoran,Oluwaseun Ogedengbe,Christos Papadopoulos,Stelios Papadopoulos,Saumil S. Patel,Xaq Pitkow,Xaq Pitkow,Sergiy Popovych,Anthony Ramos,R. Clay Reid,Jacob Reimer,Casey M Schneider-Mizell,H. Sebastian Seung,Ben Silverman,William Silversmith,Amy L. R. Sterling,Fabian H. Sinz,Cameron Smith,Shelby Suckow,Marc Takeno,Zheng H Tan,Andreas S. Tolias,Andreas S. Tolias,Russel Torres,Nicholas L. Turner,Edgar Y. Walker,Tianyu Wang,Grace Williams,Sarah Williams,Kyle Willie,Ryan Willie,William Wong,Jingpeng Wu,Chris Xu,Runzhe Yang,Dimitri Yatsenko,Fei Ye,Wenjing Yin,Szi-chieh Yu +80 more
TL;DR: In this paper, the authors present a unique functional connectomics dataset that contains calcium imaging of an estimated 75,000 neurons from primary visual cortex (VISp) and three higher visual areas (VISrl, VISal and VISlm), that were recorded while a mouse viewed natural movies and parametric stimuli.