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| 1 | Amur tiger stripes:individual identification based on deep convolutional neural network显示文摘The automatic individual identification of Amur tigers(Panthera tigris altaica)is important for population monitoring and making effective conservation strategies.Most existing research primarily relies on manual identifi-cation,which does not scale well to large datasets.In this paper,the deep convolution neural networks algorithm is constructed to implement the automatic individual identification for large numbers of Amur tiger images.The experimental data were obtained from 40 Amur tigers in Tieling Guaipo Tiger Park,China.The number of images collected from each tiger was approximately 200,and a total of 8277 images were obtained.The experiments were carried out on both the left and right side of body.Our results suggested that the recognition accuracy rate of left and right sides are 90.48%and 93.5%,respectively.The accuracy of our network has achieved the similar level compared to other state of the art networks like LeNet,ResNet34,and ZF_Net.The running time is much shorter than that of other networks.Consequently,this study can provide a new approach on automatic individual identification technology in the case of the Amur tiger. | Chunmei SHI Dan LIU Yonglu CUI Jiajun XIE Nathan James ROBERTS Guangshun JIANG | 2020 | Integrative Zoology2020，15，6： | 2 |
| 2 | 前额叶皮质中兴奋性神经元集合编码短期记忆显示文摘文章简介短期记忆(STM)对于动物在一小段时间内保存信息来说至关重要。已经知道,持续性或复发性的神经活动和神经振荡在细胞水平上编码STM。然而,微回路级的编码机制仍然是一个谜。在本文中,我们对行为小鼠进行了双光子成像以监测神经元微回路的活动。 | Yonglu Tian Chaojuan Yang Yaxuan Cui Feng Su Yongjie Wang Yangzhen Wang Peijiang Yuan Shujiang Shang Hao Li Jizong Zhao Desheng Zhu Shiming Tang Peng Cao Yunbo Liu Xunli Wang Liecheng Wang Wenbo Zeng Haifei Jiang Fei Zhao Minhua Luo Wei Xiong 仇子龙 李相尧 张晨 | 2019 | 科学新闻2019，0，2： | 0 |
| 3 | THE ACHILLES’ HEEL OF GATT’S INTERNATIONAL TRADE SYSTEM OF AGRICULTURAL PRODUCTS AND A POSSIBLE REMEDY显示文摘The postwar history saw the rapid agricultural developmentand great expansion of production in many developed countriesowing to the impetus provided by the progress in science andtechnology and subsidies in agriculture. In the past decade | Cheng Baoku Nankai University Cui Yonglu | 1994 | 南开经济研究1994，，S2： | 0 |
| 4 | Restoration of FMRP expression in adult V1 neurons rescues visual deficits in a mouse model of fragile X syndrome显示文摘Many people affected by fragile X syndrome(FXS)and autism spectrum disorders have sensory processing deficits,such as hypersensitivity to auditory,tactile,and visual stimuli.Like FXS in humans,loss of Fmr1 in rodents also cause sensory,behavioral,and cognitive deficits.However,the neural mechanisms underlying sensory impairment,especially vision impairment,remain unclear.It remains elusive whether the visual processing deficits originate from corrupted inputs,impaired perception in the primary sensory cortex,or altered integration in the higher cortex,and there is no effective treatment.In this study,we used a genetic knockout mouse model(Fmr1^(KO)),in vivo imaging,and behavioral measurements to show that the loss of Fmr1 impaired signal processing in the primary visual cortex(V1).Specifically,Fmr1^(KO) mice showed enhanced responses to low-intensity stimuli but normal responses to high-intensity stimuli.This abnormality was accompanied by enhancements in local network connectivity in V1 microcircuits and increased dendritic complexity of V1 neurons.These effects were ameliorated by the acute application of GABAA receptor activators,which enhanced the activity of inhibitory neurons,or by reintroducing Fmr1 gene expression in knockout V1 neurons in both juvenile and young-adult mice.Overall,V1 plays an important role in the visual abnormalities of Fmr1^(KO) mice and it could be possible to rescue the sensory disturbances in developed FXS and autism patients. | Chaojuan Yang Yonglu Tian Feng Su Yangzhen Wang Mengna Liu Hongyi Wang Yaxuan Cui Peijiang Yuan Xiangning Li Anan Li Hui Gong Qingming Luo Desheng Zhu Peng Cao Yunbo Liu Xunli Wang Min-hua Luo Fuqiang Xu Wei Xiong Liecheng Wang Xiang-yao Li Chen Zhang | 2022 | Protein & Cell2022，13，3： | 0 |
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