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Characterizing soundscapes across diverse ecosystems using a universal acoustic feature set 期刊论文
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2020, 117 (29) : 17049-17055
作者:  Sethi, Sarab S.;  Jones, Nick S.;  Fulcher, Ben D.;  Picinali, Lorenzo;  Clink, Dena Jane;  Klinck, Holger;  Orme, C. David L.;  Wrege, Peter H.;  Ewers, Robert M.
收藏  |  浏览/下载:23/0  |  提交时间:2020/07/09
machine learning  acoustic  soundscape  monitoring  ecology  
Comparative assessment of environmental variables and machine learning algorithms for maize yield prediction in the US Midwest 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2020, 15 (6)
作者:  Kang, Yanghui;  Ozdogan, Mutlu;  Zhu, Xiaojin;  Ye, Zhiwei;  Hain, Christopher;  Anderson, Martha
收藏  |  浏览/下载:15/0  |  提交时间:2020/07/02
crop yields  climate impact  machine learning  deep learning  data-driven  
A map of object space in primate inferotemporal cortex 期刊论文
NATURE, 2020, 583 (7814) : 103-+
作者:  Wu, Huihui;  Li, Bosheng;  Iwakawa, Hiro-oki;  Pan, Yajie;  Tang, Xianli;  Ling-hu, Qianyan;  Liu, Yuelin;  Sheng, Shixin;  Feng, Li;  Zhang, Hong;  Zhang, Xinyan;  Tang, Zhonghua;  Xia, Xinli;  Zhai, Jixian;  Guo, Hongwei
收藏  |  浏览/下载:47/0  |  提交时间:2020/07/03

Primate inferotemporal cortex contains a coarse map of object space consisting of four networks, identified using functional imaging, electrophysiology and deep networks.


The inferotemporal (IT) cortex is responsible for object recognition, but it is unclear how the representation of visual objects is organized in this part of the brain. Areas that are selective for categories such as faces, bodies, and scenes have been found(1-5), but large parts of IT cortex lack any known specialization, raising the question of what general principle governs IT organization. Here we used functional MRI, microstimulation, electrophysiology, and deep networks to investigate the organization of macaque IT cortex. We built a low-dimensional object space to describe general objects using a feedforward deep neural network trained on object classification(6). Responses of IT cells to a large set of objects revealed that single IT cells project incoming objects onto specific axes of this space. Anatomically, cells were clustered into four networks according to the first two components of their preferred axes, forming a map of object space. This map was repeated across three hierarchical stages of increasing view invariance, and cells that comprised these maps collectively harboured sufficient coding capacity to approximately reconstruct objects. These results provide a unified picture of IT organization in which category-selective regions are part of a coarse map of object space whose dimensions can be extracted from a deep network.


  
Hair-bearing human skin generated entirely from pluripotent stem cells 期刊论文
NATURE, 2020
作者:  von Appen, Alexander;  LaJoie, Dollie;  Johnson, Isabel E.;  Trnka, Michael J.;  Pick, Sarah M.;  Burlingame, Alma L.;  Ullman, Katharine S.;  Frost, Adam
收藏  |  浏览/下载:52/0  |  提交时间:2020/07/03

Skin organoids generated in vitro from human pluripotent stem cells form complex, multilayered skin tissue with hair follicles, sebaceous glands and neural circuitry, and integrate with endogenous skin when grafted onto immunocompromised mice.


The skin is a multilayered organ, equipped with appendages (that is, follicles and glands), that is critical for regulating body temperature and the retention of bodily fluids, guarding against external stresses and mediating the sensation of touch and pain(1,2). Reconstructing appendage-bearing skin in cultures and in bioengineered grafts is a biomedical challenge that has yet to be met(3-9). Here we report an organoid culture system that generates complex skin from human pluripotent stem cells. We use stepwise modulation of the transforming growth factor beta (TGF beta) and fibroblast growth factor (FGF) signalling pathways to co-induce cranial epithelial cells and neural crest cells within a spherical cell aggregate. During an incubation period of 4-5 months, we observe the emergence of a cyst-like skin organoid composed of stratified epidermis, fat-rich dermis and pigmented hair follicles that are equipped with sebaceous glands. A network of sensory neurons and Schwann cells form nerve-like bundles that target Merkel cells in organoid hair follicles, mimicking the neural circuitry associated with human touch. Single-cell RNA sequencing and direct comparison to fetal specimens suggest that the skin organoids are equivalent to the facial skin of human fetuses in the second trimester of development. Moreover, we show that skin organoids form planar hair-bearing skin when grafted onto nude mice. Together, our results demonstrate that nearly complete skin can self-assemble in vitro and be used to reconstitute skin in vivo. We anticipate that our skin organoids will provide a foundation for future studies of human skin development, disease modelling and reconstructive surgery.


  
A Machine Learning Approach to Developing Ground Motion Models From Simulated Ground Motions 期刊论文
GEOPHYSICAL RESEARCH LETTERS, 2020, 47 (6)
作者:  Withers, Kyle B.;  Moschetti, Morgan P.;  Thompson, Eric M.
收藏  |  浏览/下载:9/0  |  提交时间:2020/07/02
machine learning  simulated ground motions  seismology  earthquake hazard  
Probabilistic Forecasting of El Nino Using Neural Network Models 期刊论文
GEOPHYSICAL RESEARCH LETTERS, 2020, 47 (6)
作者:  Petersik, Paul Johannes;  Dijkstra, Henk A.
收藏  |  浏览/下载:7/0  |  提交时间:2020/07/02
El Nino  prediction  machine learning  neural networks  probabilistic forecasting  
Machine-Learning-Based Analysis of the Guy-Greenbrier, Arkansas Earthquakes: A Tale of Two Sequences 期刊论文
GEOPHYSICAL RESEARCH LETTERS, 2020, 47 (6)
作者:  Park, Yongsoo;  Mousavi, S. Mostafa;  Zhu, Weiqiang;  Ellsworth, William L.;  Beroza, Gregory C.
收藏  |  浏览/下载:6/0  |  提交时间:2020/07/02
induced seismicity  earthquake cataloging  machine learning  
A Machine-Learning Approach to Derive Long-Term Trends of Thermospheric Density 期刊论文
GEOPHYSICAL RESEARCH LETTERS, 2020, 47 (6)
作者:  Weng, Libin;  Lei, Jiuhou;  Zhong, Jiahao;  Dou, Xiankang;  Fang, Hanxian
收藏  |  浏览/下载:12/0  |  提交时间:2020/07/02
thermospheric density  Long-term trend  Artificial Neural Network method  solar activity  
Ground-Based Cloud Classification Using Task-Based Graph Convolutional Network 期刊论文
GEOPHYSICAL RESEARCH LETTERS, 2020, 47 (5)
作者:  Liu, Shuang;  Li, Mei;  Zhang, Zhong;  Cao, Xiaozhong;  Durrani, Tariq S.
收藏  |  浏览/下载:7/0  |  提交时间:2020/07/02
Local and global consequences of reward-evoked striatal dopamine release 期刊论文
NATURE, 2020, 580 (7802) : 239-+
作者:  Wagner, Felix R.;  Dienemann, Christian;  Wang, Haibo;  Stuetzer, Alexandra;  Tegunov, Dimitry;  Urlaub, Henning;  Cramer, Patrick
收藏  |  浏览/下载:9/0  |  提交时间:2020/07/03

The neurotransmitter dopamine is required for the reinforcement of actions by rewarding stimuli(1). Neuroscientists have tried to define the functions of dopamine in concise conceptual terms(2), but the practical implications of dopamine release depend on its diverse brain-wide consequences. Although molecular and cellular effects of dopaminergic signalling have been extensively studied(3), the effects of dopamine on larger-scale neural activity profiles are less well-understood. Here we combine dynamic dopamine-sensitive molecular imaging(4) and functional magnetic resonance imaging to determine how striatal dopamine release shapes local and global responses to rewarding stimulation in rat brains. We find that dopamine consistently alters the duration, but not the magnitude, of stimulus responses across much of the striatum, via quantifiable postsynaptic effects that vary across subregions. Striatal dopamine release also potentiates a network of distal responses, which we delineate using neurochemically dependent functional connectivity analyses. Hot spots of dopaminergic drive notably include cortical regions that are associated with both limbic and motor function. Our results reveal distinct neuromodulatory actions of striatal dopamine that extend well beyond its sites of peak release, and that result in enhanced activation of remote neural populations necessary for the performance of motivated actions. Our findings also suggest brain-wide biomarkers of dopaminergic function and could provide a basis for the improved interpretation of neuroimaging results that are relevant to learning and addiction.


Molecular and functional magnetic resonance imaging in the rat reveals distinct neuromodulatory effects of striatal dopamine that extend beyond peak release sites and activate remote neural populations necessary for performing motivated actions.