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IEEE Symposium on Computational Intelligence and Games, CIG

作者： Qingquan Zhang Yuchen Li Yuhang Lin Handing Wang Jialin Liu Department of Computer Science and Engineering Guangdong Key Laboratory of Brain-inspired Intelligent Computation Southern University of Science and Technology Shenzhen China School of Artificial Intelligence Xidian University Xi’an China

ISBN: (数字)9798350350678

ISBN: (纸本)9798350350685

This paper presents an interactive platform to interpret multi-objective evolutionary algorithms. Sokoban level generation is selected as a showcase for its widespread use in procedural content generation. By balancing the emptiness and spatial diversity of Sokoban levels, we illustrate the improved two-archive algorithm, Two_Arch2, a well-known multi-objective evolutionary algorithm. Our web-based platform integrates Two_Arch2 into an interface that visually and interactively demonstrates the evolutionary process in real-time. Designed to bridge theoretical optimisation strategies with practical game generation applications, the interface is also accessible to both researchers and beginners to multi-objective evolutionary algorithms or procedural content generation on a website. Through dynamic visualisations and interactive gameplay demonstrations, this web-based platform also has potential as an educational tool.

关键词： Bridges Visualization Procedural generation Spatial diversity Evolutionary computation Real-time systems Optimization

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Social isolation, loneliness and subsequent risk of major adverse cardiovascular events among individuals with type 2 diabetes mellitus

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General Psychiatry 2023年第6期36卷 481-490页

作者： Yannis Yan Liang Yilin Chen Hongliang Feng Huachen Xue Yu Nie Qi-Yong H Ai Jiacheng Ma Lulu Yang Jihui Zhang Sizhi Ai Center for Sleep and Circadian Medicine The Affiliated Brain Hospital of Guangzhou Medical UniversityGuangzhouGuangdongChina Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China Guangzhou Medical UniversityGuangzhouGuangdongChina institute of Psycho-neuroscience The Affiliated Brain Hospital of Guangzhou Medical UniversityGuangzhouGuangdongChina Guangdong Cardiovascular Institute Guangdong Provincial People's HospitalGuangdong Academy of Medical SciencesGuangzhouGuangdongChina State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science Department of Neurology and National Center for Neurological DisordersHuashan HospitalFudan UniversityShanghaiChina Department of Health Technology and Informatics The Hong Kong Polytechnic UniversityKowloonHong Kong Department of Cardiology Heart CenterThe First Affiliated Hospital of Xinxiang Medical UniversityWeihuiHenanChina

Background Individuals with type 2 diabetes mellitus(T2DM)are more vulnerable to social disconnection compared with the general population;however,there are few relevant studies investigating this *** To investigate whether social isolation or loneliness may be associated with subsequent risk of developing major adverse cardiovascular events,whether these associations vary according to fatal and non-fatal outcomes and how behavioural,psychological and physiological factors mediate these *** This longitudinal analysis included data from 19360 individuals with T2DM at baseline(2006-2010)from the UK *** isolation and loneliness were measured using self-report *** study outcomes included the first events of myocardial infarction(MI)or stroke(n=2273)and all-cause(n=2820)or cardiovascular disease-related mortality through linked hospital data ordeath *** Over a median follow-up of 12.4 years(interquartile range(IQR):11.6-13.3 years),participants who were more socially isolated(most social isolation vs least social isolation)experienced increased risks for all-cause(hazard ratio(HR):1.33,95%confidence interval(Cl):1.19 to 1.47)and cardiovascular disease(HR:1.36,95%Cl:1.17 to 1.59)mortality but not first Ml or ***(yes vs no)was associated with a greater risk for a composite of incident MI or stroke(HR:1.37,95%Cl:1.19 to 1.57)but not *** isolation was associated with fatal Ml and stroke,whereas loneliness was associated with non-fatal Ml and *** significant associations of social isolation and loneliness with outcomes were mainly mediated by behavioural factors(mediating proportion:17.8%-28.2%and 17.6%-17.8%,respectively).Conclusions Among individuals with T2DM,social isolation and loneliness are associated with a greater risk of developing major adverse cardiovascular events,with differences in both risks stratified according to fatal and non-fatal events and underlying mediat

关键词： cardiovascular mortality mellitus

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An Adaptive Learning Rate Q-Learning Algorithm Based on Kalman Filter Inspired by Pigeon Pecking-Color Learning 14th

An Adaptive Learning Rate Q-Learning Algorithm Based on Kalm...

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14th International Conference on Bio-inspired Computing: Theories and Applications, BIC-TA 2019

作者： Li, Zhihui Shi, Li Yang, Lifang Shang, Zhigang Henan Key Laboratory of Brain Science and Brain-Computer Interface Technology School of Electrical Engineering Zhengzhou University Zhengzhou450001 China Department of Automation Tsinghua University Beijing100000 China

ISBN: (纸本)9789811534140

The speed and accuracy of the Q-learning algorithm are critically affected by the learning rate. In most Q-learning application, the learning rate is usually set as a constant or decayed in a predetermined way, so it cannot meet the needs of dynamic and rapid learning. In this study, the learning process of pigeon pecking-color task was analyzed. We observed that there was epiphany phenomenon during pigeon’s learning process. The learning rate did not change gradually, but was large in the early stage and disappeared in the middle and late stage. Inspired by these phenomena, an adaptive learning rate Q-learning algorithm based on Kalman filter model (ALRKF Q-learning) is proposed in this paper. Q-learning are represented in the framework of Kalman filter model, and the learning rate is equivalent to Kalman gain, which dynamically weighs the fluctuation of environmental reward and the cognitive uncertainty of the agent to the value of pairs. The cognitive uncertainty in the model is determined by the variance of measurement residual and of environmental reward, and is set to zero when it is less than the variance of the environmental reward. The results tested by the two-armed Bandit task showed that the proposed algorithm not only can adaptively learn the statistical characteristics of environmental rewards, but also can quickly and accurately approximate the expected value of pairs. © 2020, Springer Nature Singapore Pte Ltd.

关键词： Kalman filters

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A review on the applications of graph neural networks in materials science at the atomic scale

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Materials Genome Engineering Advances 2024年第2期2卷 1-19页

作者： Xingyue Shi Linming Zhou Yuhui Huang Yongjun Wu Zijian Hong School of Materials Science and Engineering Zhejiang UniversityHangzhouZhejiangChina Nanhu Brain-Computer Interface Institute HangzhouZhejiangChina Research Institute of Zhejiang University-Taizhou TaizhouZhejiangChina State Key Laboratory of Silicon and Advanced Semiconductor Materials Zhejiang UniversityHangzhouZhejiangChina

In recent years,interdisciplinary research has become increasingly popular within the scientific *** fields of materials science and chemistry have also gradually begun to apply the machine learning technology developed by scientists from computer *** neural networks(GNNs)are new machine learning models with powerful feature extraction,relationship inference,and compositional generalization *** advantages drive researchers to design computational models to accelerate material property prediction and new materials design,dramatically reducing the cost of traditional experimental *** review focuses on the principles and applications of the *** basic concepts and advantages of the GNNs are first introduced and compared to the traditional machine learning and neural ***,the principles and highlights of seven classic GNN models,namely crystal graph convolutional neural networks,iCGCNN,Orbital Graph Convolutional Neural Network,MatErials Graph Network,Global Attention mechanism with Graph Neural Network,Atomistic Line Graph Neural Network,and BonDNet are *** connections and differences are also ***,insights and prospects are provided for the rapid development of GNNs in materials science at the atomic scale.

关键词： CGCNN graph neural networks MACHINE learning materials design property prediction

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CEBRA Method: Decoding brain Activity for Advanced brain-computer interface technology 46

CEBRA Method: Decoding Brain Activity for Advanced Brain-Com...

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46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2024

作者： Yang, Jingcheng Kulwa, Frank Liu, Xuanwei Lu, Yiqing Fu, Yufa Li, Guanglin Huai, Yaping Zhang, Xin Li, Yongcheng Shenzhen Dapeng New District Nanao People's Hospital Guangdong Shenzhen518000 China Shenzhen Longhua District Central Hospital Department of Rehabilitation Medicine Guangdong Shenzhen518000 China Kunming University of Science and Technology Faculty of Information Engineering and Automation Kunming650500 China Kunming University of Science and Technology Brain Cognition and Brain-Computer Intelligence Integration Group Kunming650500 China Cas Key Laboratory of Human-Machine Intelligence Synergy Systems Shenzhen518055 China University of Chinese Academy of Sciences Shenzhen College of Advanced Technology Shenzhen518055 China Shandong Zhongke Advanced Technology Co. Ltd. Jinan250014 China

ISBN: (纸本)9798350371499

The emerging neurorehabilitation technology, brain-computer interface (BCI), provides a novel prospect for stroke recovery. However, decoding brain activity during the movement present substantial challenges, and feature extraction is crutial to build a better decoder. In this study the CEBRA method were employed to extract features first based on electroencephalogram(EEG) data during Motor Execution(ME) and Motor lmagery (Ml) tasks for 20 participants (including 10 stroke patients). The results revealed that, in MI tasks, CEBRA-RF (Random Forests) achieved an average classification accuracy of 91.33%, with an average F1-score of 91.19%, and CEBRA-SVM (Support Vector Machine) achieved an average classification accuracy of 91.32%, with an average F1-score of 90.83%. Compared to other conventional feature extraction methods, CEBRA shows significantly higher accuracy (t-test, p © 2024 IEEE.

关键词： Patient rehabilitation

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Determination of Effective Response Time Window to Visual Object in Object-oriented Task of Birds

Determination of Effective Response Time Window to Visual Ob...

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第40届中国控制会议

作者： Xiaoke Niu Shangfei Yang Zhenyang Jiang Yanyan Peng Hong Yang Henan Key Laboratory of Brain Science and Brain Computer Interface Technology School of Electrical EngineeringZhengZhou University The First Affiliated Hospital of Zhengzhou University ZhengZhou University

Determination of effective visual response time window is premise of studying object cognition and decision-making mechanisms in avian object-oriented ***,it is difficult to determine the effective response time window for freely moving *** this study,video data of pigeon’s face in the target-oriented task was collected,and a neural network algorithm based on Faster RCNN was applied to train pigeon face prediction model,which was further used to predict the time window of pigeon observing the specific image *** length of time window were estimated based on the statistical results of 177 trials,and the specific time window for each trial was then determined by combining the start frame that contained pigeon’s frontal ***,the proposed method was verified using data from two pigeons trained for object-oriented *** the firing rates feature population recorded from pigeon’s ectostriatum as an example,the mean firing rate during the estimated effective time window and the original mean firing rate without the time window were sent to SVM and KNN classifier respectively to decode the observed object *** comparison results showed that the classification accuracy of both classifiers were significantly improved with our method,proving that the proposed method could obtained effective response to specific visual object for freely moving birds.

关键词： Pigeon Face Recognition Faster-RCNN Goal-Oriented Visual Decoding

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Boosters of the metaverse: a review of augmented reality-based brain-computer interface

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brain-Apparatus Communication: A Journal of Bacomics 2024年第1期3卷

作者： Zongxin Xu Gaoxing Chen Rui Zhang Henan Key Laboratory of Brain Science and Brain-Computer Interface Technology School of Electrical Engineering Zhengzhou University Zhengzhou P. R. China

IntroductionThe ultimate objective of the metaverse is to create a new digital life system using brain-computer interface (BCI) technology that integrates and even enhances reality and virtuality, among which the efficient and natural interaction technology between the virtual and real world is one of the key technologies of the metaverse. Augmented reality-based BCI (AR-BCI) technology provides a channel for direct interaction between the brain and the virtual world by decoding the human brain's response to AR stimuli in real-time, thus the development of the metaverse requires the advancement of AR-BCI *** paper began with the concepts and interrelationships between the metaverse, BCI, and AR technologies. Then the technical characteristics and potential applications of AR-BCI were introduced, and the research progress of three typical AR-BCI paradigms, including SSVEP, P300, and MI, were then *** survey results indicated that the use of optical see-through glasses to present the SSVEP paradigm has become the key breakthrough direction of AR-BCI research at present. Medical care and robot control are currently the main application areas of AR-BCI. And in the future, AR-BCI will be an important booster to promote the rapid evolution of the metaverse.

关键词： Metaverse augmented reality brain-computer interface SSVEP brain–apparatus conversation

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Directly wireless communication of human minds via non-invasive brain-computer-metasurface platform

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eLight 2022年第1期2卷 132-142页

作者： Qian Ma Wei Gao Qiang Xiao Lingsong Ding Tianyi Gao Yajun Zhou Xinxin Gao Tao Yan Che Liu Ze Gu Xianghong Kong Qammer HAbbasi Lianlin Li Cheng‑Wei Qiu Yuanqing Li Tie Jun Cui Institute of Electromagnetic Space Southeast UniversityNanjing 210096China School of Automation Science and Engineering South China University of TechnologyGuangzhou 510641China State Key Laboratory of Millimeter Wave Southeast UniversityNanjing 210096China Center of Intelligent Metamaterials Pazhou Laboratory Guangzhou 510330China Research Center for Brain-Computer Interface Pazhou LabGuangzhou 510330China Department of Electrical and Computer Engineering National University of SingaporeSingaporeSingapore University of Glasgow James Watt School of EngineeringGlasgow G128QQUK State Key Laboratory of Advanced Optical Communication Systems and Networks Department of ElectronicsPeking UniversityBeijing 100871China

brain-computer interfaces(BCIs),invasive or non-invasive,have projected unparalleled vision and promise for assisting patients in need to better their interaction with the *** by the BCI-based rehabilitation technologies for nerve-system impairments and amputation,we propose an electromagnetic brain-computer-metasurface(EBCM)paradigm,regulated by human’s cognition by brain signals directly and *** experimentally show that our EBCM platform can translate human’s mind from evoked potentials of P300-based electroencephalography to digital coding information in the electromagnetic domain non-invasively,which can be further processed and transported by an information metasurface in automated and wireless *** wireless communications of the human minds are performed between two EBCM operators with accurate text ***,several other proof-of-concept mind-control schemes are presented using the same EBCM platform,exhibiting flexibly-customized capabilities of information processing and synthesis like visual-beam scanning,wave modulations,and pattern encoding.

关键词： communication computer surface

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MyRoom: A Unity Plugin for Procedural and Interactive Indoor Scene Synthesis

MyRoom: A Unity Plugin for Procedural and Interactive Indoor...

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IEEE Symposium on Computational Intelligence and Games, CIG

作者： Haocheng Du Yunlong Zhao Shuo Huang Jiayu Bai Song Tian Jialin Liu Department of Computer Science and Engineering Guangdong Provincial Key Laboratory of Brain-Inspired Intelligent Computation Southern University of Science and Technology Shenzhen China Center for the Humanities Southern University of Science and Technology Shenzhen China

The demand for indoor synthesis has increased significantly in recent years because of the emergence of computational design. This work designs and develops MyRoom, a Unity plugin that can import layout datasets for indoor synthesis and procedurally generate and interactively design indoor scenes. MyRoom enables users to easily edit and visualize non-intuitive layout description data, making it easier to generate and manipulate indoor scenes in Unity. MyRoom provides a user-friendly interface and powerful tools for designing and optimizing indoor layouts, including an automatic layout generator, making it ideal for game developers, interior designers, and researchers in the digital world-building industry. With MyRoom, users can streamline the process of creating high-quality indoor scenes in games and achieve their design goals efficiently.

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Morphological disruption and visual tuning alterations in the primary visual cortex in glaucoma(DBA/2J)mice

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Neural Regeneration Research 2024年第1期19卷 220-225页

作者： Yin Yang Zhaoxi Yang Maoxia Lv Ang Jia Junjun Li Baitao Liao Jing’an Chen Zhengzheng Wu Yi Shi Yang Xia Dezhong Yao Ke Chen Department of Ophthalmology Sichuan Provincial People’s HospitalMedical SchoolUniversity of Electronic Science and Technology of ChinaChengduSichuan ProvinceChina The Clinical Hospital of Chengdu Brain Science Institute MOE Key Lab for NeuroInformationSchool of Life Science and TechnologyUniversity of Electronic Science and Technology of ChinaChengduSichuan ProvinceChina Research Unit of NeuroInformation Chinese Academy of Medical SciencesChengduSichuan ProvinceChina Institute of Basic Medical Sciences Chinese Academy of Medical Sciences School of Basic Medicine Peking Union Medical CollegeBeijingChina Health Management Center Sichuan Provincial Key Laboratory for Human Disease Gene StudySichuan Provincial People’s HospitalUniversity of Electronic Science and Technology of ChinaChengduSichuan ProvinceChina Research Unit for Blindness Prevention of Chinese Academy of Medical Sciences(2019RU026) Sichuan Academy of Medical SciencesChengduSichuan ProvinceChina School of Electrical Engineering Zhengzhou UniversityZhengzhouHenan ProvinceChina

Glaucoma is a leading cause of irreve rsible blindness wo rldwide,and previous studies have shown that,in addition to affecting the eyes,it also causes abnormalities in the ***,it is not yet clear how the primary visual cortex(V1)is altered in *** study used DBA/2J mice as a model for spontaneous secondary *** aim of the study was to compare the electrophysiological and histomorphological chara cteristics of neurons in the V1between 9-month-old DBA/2J mice and age-matched C57BL/6J *** conducted single-unit recordings in the V1 of light-anesthetized mice to measure the visually induced responses,including single-unit spiking and gamma band *** morphology of layerⅡ/Ⅲneurons was determined by neuronal nuclear antigen staining and Nissl staining of brain tissue ***-seven neurons from eight DBA/2J mice and eighty-one neurons from eight C57BL/6J mice were *** with the C57BL/6J group,V1 neurons in the DBA/2J group exhibited weaker visual tuning and impaired spatial *** r,fewer neuro ns were observed in the V1 of DBA/2J mice compared with C57BL/6J *** findings suggest that DBA/2J mice have fewer neurons in the VI compared with C57BL/6J mice,and that these neurons have impaired visual *** findings provide a better understanding of the pathological changes that occur in V1 neuron function and morphology in the DBA/2J mouse *** study might offer some innovative perspectives regarding the treatment of glaucoma.

关键词： DBA/2J degeneration gamma band oscillations glaucoma primary visual cortex(V1) retina single-unit recording tuning curve

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