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Oxytocinergic Control of a Hypothalamic Social Fear Circuitry

Neuroscience Bulletin 2024年第9期40卷 1399-1401页

作者： Junqiang Zheng Xingying Wu Han Xu Department of Neurobiology and Department of Psychiatry of the Second Affiliated Hospital and School of Brain Science and Brain Medicine Zhejiang University School of MedicineHangzhou310058China Nanhu Brain-Computer Interface Institute Hangzhou311100China Liangzhu Laboratory MOE Frontier Science Center for Brain Science and Brain-Machine IntegrationState Key Laboratory of Brain-Machine IntelligenceZhejiang UniversityHangzhou311121China NHC and CAMS Key Laboratory of Medical Neurobiology Zhejiang UniversityHangzhou310058China Lingang Laboratory Shanghai200031China

Exhibiting appropriate social behavior toward conspecifics is crucial for survival within a social *** instance,after a conflict,it is essential for the loser to stay away from the victor to avoid further harm[1].Previous studies have indicated that the anterior ventrolateral part of the ventromedial hypothalamus(aVMHvl)plays a pivotal role in social fear and avoidance following a social ***,the precise mechanisms through which the aVMHvl effectively transforms social defeat to subsequent behavioral changes in social interaction remain largely unknown.

关键词： medial hypothalamus precise

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Visual cognition of birds and its underlying neural mechanism:A review

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Avian Research 2022年第2期13卷 216-225页

作者： Xiaoke Niu Zhenyang Jiang Yanyan Peng Shuman Huang Zhizhong Wang Li Shi Henan Key Laboratory of Brain Science and Brain-Computer Interface Technology School of Electrical EngineeringZhengzhou UniversityZhengzhou450001China Department of Automation Tsinghua UniversityBeijing100084China

Birds have acute vision and many remarkable visual cognition abilities,due to their unique living *** underlying neural mechanisms have also attracted interests of researchers in ***,we firstly summarize the visual cognition abilities of birds,and make a comparison with ***,the underlying neural mechanisms are presented,including histological structure of avian brain and visual pathways,typical experimental results and conclusions in electrochemistry and *** latter mainly focuses on several higher brain areas related to visual cognition,including mesopallium ventrolaterale,entopallium,visual Wulst,and nidopallium ***,we make a conclusion and provide a suggestion about future studies on revealing the neural mechanisms of avian visual *** review presents a detailed understanding of avian visual cognition and would be helpful in ornithology studies in the field of cognitive neuroscience.

关键词： Avian Electrophysiology neural mechanism Visual cognition

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Learned distributed image compression with decoder side information

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Digital Communications and Networks 2025年第2期11卷 349-358页

作者： Yankai Yin Zhe Sun Peiying Ruan Ruidong Li Feng Duan Tianjin Key Laboratory of Interventional Brain-Computer Interface and Intelligent Rehabilitation Nankai UniversityTianjin 300350China Institute of Natural Sciences Kanazawa UniversityIshikawa 9201164Japan Faculty of Health Data Science and Graduate School of Medicine Juntendo UniversityChiba 2790013Japan NVIDIA AI Technology Center NVIDIA JapanTokyo 1070052Japan

With the rapid development of digital communication and the widespread use of the Internet of Things,multi-view image compression has attracted increasing attention as a fundamental technology for image data ***-view image compression aims to improve compression efficiency by leveraging correlations between ***,the requirement of synchronization and inter-image communication at the encoder side poses significant challenges,especially for constrained *** this study,we introduce a novel distributed image compression model based on the attention mechanism to address the challenges associated with the availability of side information only during *** model integrates an encoder network,a quantization module,and a decoder network,to ensure both high compression performance and high-quality image *** encoder uses a deep Convolutional neural Network(CNN)to extract high-level features from the input image,which then pass through the quantization module for further compression before undergoing lossless entropy *** decoder of our model consists of three main components that allow us to fully exploit the information within and between images on the decoder ***,we first introduce a channel-spatial attention module to capture and refine information within individual image feature ***,we employ a semi-coupled convolution module to extract both shared and specific information in ***,a cross-attention module is employed to fuse mutual information extracted from side *** effectiveness of our model is validated on various datasets,including KITTI Stereo and *** results highlight the superior compression capabilities of our method,surpassing state-of-the-art techniques.

关键词： Digital communication Image compression Side information Channel-spatial attention module Cross-attention module

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Both gain-and loss-of-function variants of KCNA1 are associated with paroxysmal kinesigenic dyskinesia

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Journal of Genetics and Genomics 2024年第8期51卷 801-810页

作者： Wan-Bing Sun Jing-Xin Fu Yu-Lan Chen Hong-Fu Li Zhi-Ying Wu Dian-Fu Chen Department of Medical Genetics and Center for Rare Diseases and Department of Neurologyand Zhejiang Key Laboratory of Rare Diseases for Precision Medicine and Clinical Translation in Second Affiliated HospitalZhejiang University School of MedicineHangzhouZhejiang 310009China Nanhu Brain-computer Interface Institute HangzhouZhejiang 314050China MOE Frontier Science Center for Brain Science and Brain-machine Integration School of Brain Science and Brain MedicineZhejiang UniversityHangzhouZhejiang 310012China

KCNA1 is the coding gene for Kv1.1 voltage-gated potassium-channelα*** variants of KCNA1 have been reported to manifest as paroxysmal kinesigenic dyskinesia(PKD),but the correlation between them remains unclear due to the phenotypic complexity of KCNA1 variants as well as the rarity of PKD *** the whole exome sequencing followed by Sanger sequencing,we screen for potential pathogenic KCNA1 variants in patients clinically diagnosed with paroxysmal movement disorders and identify three previously unreported missense variants of KCNA1 in three unrelated Chinese *** proband of one family(c.496G>A,p.A166T)manifests as episodic ataxia type 1,and the other two(c.877G>A,p.V293I and c.1112C>A,p.T371A)manifest as *** pathogenicity of these variants is confirmed by functional studies,suggesting that p.A166T and p.T371A cause a loss-of-function of the channel,while p.V293I leads to a gain-of-function with the property of voltage-dependent gating and activation kinetic *** reviewing the locations of PKD-manifested KCNA1 variants in Kv1.1 protein,we find that these variants tend to cluster around the pore domain,which is similar to ***,our study strengthens the correlation between KCNA1 variants and PKD and provides more information on genotype–phenotype correlations of KCNA1 channelopathy.

关键词： Paroxysmal kinesigenic dyskinesia KCNA1 Loss-of-function Gain-of-function Channelopathy Episodicataxiatype1

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The inhibitory effect of adenosine on tumor adaptive immunity and intervention strategies

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Acta Pharmaceutica Sinica B 2024年第5期14卷 1951-1964页

作者： Longsheng Wang Jie Zhang Wenxin Zhang Mingming Zheng Hongjie Guo Xiaohui Pan Wen Li Bo Yang Ling Ding Zhejiang Province Key Laboratory of Anti-Cancer Drug Research Institute of Pharmacology and ToxicologyCollege of Pharmaceutical SciencesZhejiang UniversityHangzhou 310058China The Innovation Institute for Artificial Intelligence in Medicine Zhejiang UniversityHangzhou 310018China Nanhu Brain-Computer Interface Institute Hangzhou 311100China

Adenosine(Ado)is significantly elevated in the tumor microenvironment(TME)compared to normal *** binds to adenosine receptors(AdoRs),suppressing tumor antigen presentation and immune cell activation,thereby inhibiting tumor adaptive *** downregulates major histocompatibility complex II(MHC II)and co-stimulatory factors on dendritic cells(DCs)and macrophages,inhibiting antigen *** suppresses anti-tumor cytokine secretion and T cell activation by disrupting T cell receptor(TCR)binding and signal *** also inhibits chemokine secretion and KCa3.1 channel activity,impeding effector T cell trafficking and infiltration into the tumor ***,Ado diminishes T cell cytotoxicity against tumor cells by promoting immune-suppressive cytokine secretion,upregulating immune checkpoint proteins,and enhancing immune-suppressive cell *** Ado production in the TME can significantly enhance anti-tumor immune responses and improve the efficacy of other *** and clinical development of inhibitors targeting Ado generation or AdoRs is ***,this article will summarize and analyze the inhibitory effects and molecular mechanisms of Ado on tumor adaptive immunity,as well as provide an overview of the latest advancements in targeting Ado pathways in anti-tumor immune responses.

关键词： Adenosine Adenosine receptors Adenosine-generating enzymes Tumor microenvironment Immune suppression Immune escape Clinical treatment Targeting drugs

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Modeling and controller design of vertical take-off and landing turbojet powered aircraft 7

Modeling and controller design of vertical take-off and land...

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7th International Symposium on Autonomous Systems, ISAS 2024

作者： Ouyang, Tianyu Yin, Yankai Kang, Fei Zhang, Jiachen Tian, Yu Yan, Xiaoquan Kuang, Wenchuan Duan, Feng Nankai University Tianjin Key Laboratory of Interventional Brain-Computer Interface and Intelligent Rehabilitation Tianjin China Tianjin Fulibo Intelligent Technology Co. Ltd Tianjin China

ISBN: (纸本)9798350363173

Aiming at the problems such as high altitude flight difficulty and poor wind resistance of rotary-wing UAV in disaster rescue, this paper proposes a vertical take-off and landing turbojet powered aircraft. The vehicle uses fuel as its power source, and four turbojet engines with vector propulsion systems provide thrust. Aiming at the difficult problem of controller design caused by complex nonlinear characteristics of aircraft, a T-S modeling method of aircraft is presented. Firstly, a dynamic model of the aircraft is established by analyzing the relationship between the force and rotation of the aircraft. On this basis, the T-S fuzzy model of aircraft is established by using sector nonlinear method. The model can decompose the complex nonlinear system into several simple linear subsystems, which is more convenient for controller design and analysis. To verify the validity of the T-S model, a fuzzy LQR controller is designed. Simulation results show that the designed controller can realize fast stabilization of the system. The structure design of the aircraft and T-S fuzzy control are of great practical significance for disaster relief in the complex plateau environment. © 2024 IEEE.

关键词： Controllers

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Frontostriatal circuit dysfunction leads to cognitive inflexibility in neuroligin-3 R451C knockin mice (Mar, 10.1038/s41380-024-02505-9, 2024)

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MOLECULAR PSYCHIATRY 2025年第1期30卷 365-366页

作者： Lin, Shen Fan, Cui-ying Wang, Hao-ran Li, Xiao-fan Zeng, Jia-li Lan, Pei-xuan Li, Hui-xian Zhang, Bin Hu, Chun Xu, Junyu Luo, Jian-hong Affiliated Mental Health Center & Hangzhou Seventh People’s Hospital School of Brain Science and Brain Medicine Zhejiang University School of Medicine Hangzhou China Nanhu Brain-Computer Interface Institute Hangzhou China Liangzhu Laboratory MOE Frontier Science Center for Brain Science and Brain-Machine Integration State Key Laboratory of Brain-Machine Intelligence Zhejiang University Hangzhou China NHC and CAMS Key Laboratory of Medical Neurobiology Zhejiang University Hangzhou China Key Laboratory of Novel Targets and Drug Study for Neural Repair of Zhejiang Province School of Medicine Hangzhou City University Hangzhou China Institute for Brain Research and Rehabilitation Key Laboratory of Brain Cognition and Education Sciences of Ministry of Education South China Normal University Guangzhou China

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Investigation of an sEMG Signal-Based Method for Online Hand Movement Classification 7

Investigation of an sEMG Signal-Based Method for Online Hand...

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7th International Symposium on Autonomous Systems, ISAS 2024

作者： Duan, Yahan Li, Wenyu Liu, Zhongxin Du, Ying Yao, Yang Duan, Feng Nankai University Tianjin Key Laboratory of Interventional Brain-Computer Interface and Intelligent Rehabilitation College of Artificial Intelligence Tianjin China Tianjin First Central Hospital Department of Neurology Tianjin China

ISBN: (纸本)9798350363173

The human hand possesses remarkable dexterity and performs intricate tasks. Developing a reliable myoelectric prosthetic system for amputees is crucial. Although surface electromyographic (sEMG) signals have been utilized, their vulnerability to interference presents hurdles in hand movement identification. This work proposes a machine learning-based system for accurate recognition of hand movements. During the offline training process, artificial neural networks (ANN) have demonstrated superior performance compared to support vector machines and k-nearest neighbors, achieving a recognition rate of 99.63%. It underscores the exceptional ability of ANNs to learn complex nonlinear relationships within sEMG signals. Online experiments with a majority voting approach validated the feasibility of the system, reaching an average accuracy of 93.33%. This work provides technical support for fine control in myoelectric prosthesis, promising an improved quality of life for amputees. © 2024 IEEE.

关键词： neural networks

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Heat transfer simulation of optogenetics-LED based on microchannel heat dissipation

Heat transfer simulation of optogenetics-LED based on microc...

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2024 International Conference on Optoelectronic Information and computer Engineering, OICE 2024

作者： Liu, Lusheng Le, Song Zhang, Yuan Zhang, Jing Wang, Aiping Bin, Jianxiong Niu, Lan Zhang, Lihua Kang, Xiaoyang Laboratory for Neural Interface and Brain Computer Interface Engineering Research Center of AI & Robotics Ministry of Education Shanghai Engineering Research Center of AI & Robotics MOE Frontiers Center for Brain Science State Key Laboratory of Medical Neurobiology Institute of AI and Robotics Academy for Engineering & Technology Fudan University Shanghai200433 China Ji Hua Laboratory Guangdong Province Foshan528200 China Yiwu Research Institute of Fudan University Zhejiang Yiwu City322000 China Research Center for Intelligent Sensing Zhejiang Lab Hangzhou311121 China

ISBN: (纸本)9781510682504

Optogenetics technology has greatly promoted the development of neuroscience. Flexible gene manipulation tools and sensitive light activation methods have provided convenience for neural function research. However, the thermal effect generated in the process of light stimulation affects the activation of neurons by optogenetic technology, which makes the results of light-activated light-sensitive proteins to generate neural currents inaccurate. Here, we established an in vivo activation model of LED-based optogenetic technology through simulation and analyzed the thermal effect produced by it. We propose to use microchannels to dissipate heat from implanted devices, reducing the thermal effect of light stimulation for neural activation. Through simulation, we propose the use of the vortex-like and cobweb-like microchannels for heat dissipation, which can control the temperature rise within 0.28K and 0.31K, respectively. © 2024 SPIE.

关键词： Heat losses

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Machine Learning-Aided Data Analysis in Single-Protein Conductance Measurement with Electron Tunneling Probes

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Chinese Journal of Chemistry 2024年第1期42卷 67-72页

作者： Yuxin Yang Tao Jiang Ye Tian Biaofeng Zeng Longhua Tang State Key Laboratoryof Extreme Photonics and Instrumentation College of Optical Science and EngineeringZhejiang University HangzhouZhejiang 310027China Nanhu Brain-computer Interface Institute HangzhouZhejiang 311100China State Key Laboratory of Fluid Power and Mechatronic Systems College of Mechanical EngineeringZhejiang University HangzhouZhejiang 310027China

The electrical tunneling sensors have excellent potential in the next generation of single-molecule measurement and sequencing technologies due to their high sensitivity and spatial resolution *** tunneling signals that have been measured at a high sampling rate may provide detailed molecular *** the extraordinarily large amount of data that has been gathered,it is still difficult to correlate signal transformations with molecular processes,which creates great obstacles for signal *** learning is an effective tool for data analysis that is currently gaining more *** has demonstrated promising results when used to analyze data from single-molecule electrical *** order to extract meaningful information from raw measurement data,we have combined intelligent machine learning with tunneling electrical *** the purpose of analyzing tunneling electrical signals,we investigated the clustering approach,which is a classic algorithm in machine learning.A clustering model was built that combines the advantages of hierarchical clustering and Gaussian mixture model ***,customized statistical algorithms were *** has been proven to efficiently gather molecular information and enhance the effectiveness of data analysis.

关键词： Tunneling sensor Single-molecule measurement Machine learning Single-protein conductance Molecular electrochemistry Nanotechnology Molecular electronics

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