王洪财

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28 8月 2019

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Author : 伤口世界

擅长断肢（指、趾、鼻、耳、阴茎）再植和再造手术、各种组织修复和皮瓣移植、严重复杂性创伤伴多发骨折、血管神经损伤的急救与早期处理和二期功能重建、先天性畸形及烧伤瘢痕挛缩畸形矫正、美容整形等

曾任河北省秦皇岛市手足显微外科中心主任、市手外科学会常委、骨科学会委员和市医疗事故鉴定专家组成员。发表论文10余篇，获河北省秦皇岛市优秀成果二等奖、科技进步二等奖及科技成果奖多项。

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Polarity-guided uneven mitotic divisions control brassinosteroid activity in proliferating plant root cells 2025-07-09 00:00
Motor and vestibular signals in the visual cortex permit the separation of self versus externally generated visual motion 2025-07-04 00:00

Mateo Ve´ lez-Fort,1,3 Lee Cossell,1,3 Laura Porta,1 Claudia Clopath,1,2 and Troy W. Margrie1,4,*

1 Sainsbury Wellcome Centre, University College London, London, UK

2 Bioengineering Department, Imperial College London, London, UK

3 These authors contributed equally

4 Lead contact

*Correspondence: 该Email地址已收到反垃圾邮件插件保护。要显示它您需要在浏览器中启用JavaScript。

https://doi.org/10.1016/j.cell.2025.01.032

SUMMARY

Knowing whether we are moving or something in the world is moving around us is possibly the most critical sensory discrimination we need to perform. How the brain and, in particular, the visual system solves this motion-source separation problem is not known. Here, we find that motor, vestibular, and visual motion signals are used by the mouse primary visual cortex (VISp) to differentially represent the same visual flow information according to whether the head is stationary or experiencing passive versus active translation. During locomotion, we find that running suppresses running-congruent translation input and that translation signals dominate VISp activity when running and translation speed become incongruent. This cross-modal interaction between the motor and vestibular systems was found throughout the cortex, indicating that running and translation signals provide a brain-wide egocentric reference frame for computing the internally generated and actual speed of self when moving through and sensing the external world.
Mapping the landscape of social behavior 2025-07-03 00:00

Ugne Klibaite,1,4,* Tianqing Li,2,4 Diego Aldarondo,1,3 Jumana F. Akoad,1 Bence P. O¨ lveczky,1,* and Timothy W. Dunn2,5,*

1 Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA

2 Department of Biomedical Engineering, Duke University, Durham, NC 27708, USA

3 Present address: Fauna Robotics, New York, NY 10003, USA

4 These authors contributed equally

5 Lead contact

*Correspondence: 该Email地址已收到反垃圾邮件插件保护。要显示它您需要在浏览器中启用JavaScript。 (U.K.), 该Email地址已收到反垃圾邮件插件保护。要显示它您需要在浏览器中启用JavaScript。 (B.P.O¨ .), 该Email地址已收到反垃圾邮件插件保护。要显示它您需要在浏览器中启用JavaScript。 (T.W.D.)

https://doi.org/10.1016/j.cell.2025.01.044

SUMMARY

Social interaction is integral to animal behavior. However, lacking tools to describe it in quantitative and rigorous ways has limited our understanding of its structure, underlying principles, and the neuropsychiatric disorders, like autism, that perturb it. Here, we present a technique for high-resolution 3D tracking of postural dynamics and social touch in freely interacting animals, solving the challenging subject occlusion and partassignment problems using 3D geometric reasoning, graph neural networks, and semi-supervised learning. We collected over 110 million 3D pose samples in interacting rats and mice, including seven monogenic autism rat lines. Using a multi-scale embedding approach, we identified a rich landscape of stereotyped actions, interactions, synchrony, and body contacts. This high-resolution phenotyping revealed a spectrum of changes in autism models and in response to amphetamine not resolved by conventional measurements. Our framework and large library of interactions will facilitate studies of social behaviors and their neurobiological underpinnings.

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主任医师、教授、博导，南方医科大学第三附属医院（广东省骨科医院）院长

王洪财

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Custom Mod Mega1

主任医师、教授、博导，南方医科大学第三附属医院（广东省骨科医院）院长

王洪财

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