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From neuromodulation to brain-computer interfaces, explore how to realize the transformation of human thought into mechanical action by understanding the neuromodulation mechanisms of the brain. Imagine being able to manipulate the outside world and open up new ways of communicating and communicating just by thinking. This is not the plot of science fiction, but the realistic possibility brought about by scientific exploration from "heartbeat" to "action". Highlights include exploring the latest scientific advances in neuromodulation, the challenges and opportunities of brain-computer interface technology, and how all of this is reshaping the boundaries of healthcare, assistive technology, and human capabilities in the future. The topic of this forum is chosen because brain-computer interface technology represents the ultimate goal of the development of artificial intelligence technology towards superintelligence. This technological advancement not only provides a new way for people with disabilities to interact, but also opens up new possibilities for the future in the fields of human-machine integration and augmented reality.
This forum is strongly supported by the CCF Human-Computer Interaction Committee, and will carry out in-depth discussions on the technical development limitations caused by the cognitive limitations of the brain, the technical bottlenecks of brain-computer interface from experiment to application, and the ultimate vision of brain-computer interface technology development.
Forum arrangement
| Introduction | topic | Keynote speaker | unit |
| 1 | Theory and Methods of Large-Scale Spiking Neural Networks | Tian Yonghong | Peking university |
| 2 | Affective Brain-Computer Interface and Affective Intelligence: Current Situation and Challenges | Lu Baoliang | Shanghai Jiao Tong University |
| 3 | Multi-source neural signal computing | Chen Xun | University of Science and Technology of China |
| 4 | Application of neuromodulation techniques in Parkinson's disease | Zhang Yuqing | Beijing Xuanwu Hospital, Capital Medical University |
| 5 | Accurate and secure brain-computer interface decoding algorithms | Wu Dongrui | Hust |
| Research on sensory brain-computer interface for stroke rehabilitation | Yao Lin | Zhejiang University | |
| Panel link | Long Jinyi | Jinan University | |
| Qiu-shi-hai | Guangdong Institute of Intelligent Science and Technology | ||
| Lian Shizhong | The First Hospital of Shanxi Medical University | ||
| Hu Xinyu | Shanxi University of Finance and Economics |
Executive Chairman
Liang Zhen
Distinguished researcher and tenured associate professor at the School of Biomedical Engineering, School of Medicine, Shenzhen University
He is a professional member of CCF and the academic secretary-designate of YOCSEF Shenzhen, focusing on the in-depth research of emotional brain-computer interface technology for a long time, and is committed to promoting the method analysis, intelligent model construction, and clinical practical application of neural engineering in the field of emotional intelligent computing. He has published more than 50 high-level papers, including Cell Reports Medicine, NeuroImage, IEEE TPAMI, IEEE TAFFC, IEEE TCYB and other important journals. He won the Service Excellence Award of the 3rd "Shenzhen Artificial Intelligence Award" in 2023, the IEEE SMC Winner Award of the IEEE SMC International Conference Brain-Computer Interface Competition, and the second prize of the 3rd Guangdong Computer Science Youth Academic Show of the China Computer Federation. He serves as the representative of the executive director unit of the national active health industry industry-education integration community.
Co-Executive Chairman
Yellow Classics
Associate researcher of Guangdong Institute of Intelligent Science and Technology
Senior member of CCF, vice chairman and chairman-designate of YOCSEF Shenzhen, focusing on the field of high-performance computing and big data analysis, and committed to the research of key technologies of high-performance large models. He is a core member of the data assimilation innovation team of Guangdong meteorological regional numerical prediction model, the person in charge of the R&D plan in key areas of Guangdong Province, and the person in charge of the major project of parallel optimization of meteorological data forecast assimilation algorithm, and the relevant research results have been reported by China Meteorological News. He has published more than 20 high-level papers, applied for more than 10 patents, and won the first prize of Shenzhen Science and Technology Progress Award as one of the completers. He has served as a reviewer for journals such as CCF Transactions on High Performance Computing.
Forum Speaker
Tian Yonghong
Boya Distinguished Professor of Peking University
He is the winner of the 2018 National Fund for Distinguished Young Scholars, the 2021 IEEE Fellow, the Boya Distinguished Professor of Peking University, the Dean of the School of Information Engineering of the Institute of Advanced Research of Peking University, and the Deputy Director of the Network Intelligence Department of the Pengcheng Laboratory. His research interests include neuromorphic computing, large-scale machine learning, and AI for Science. He has presided over more than 40 national, provincial and ministerial cooperation projects with enterprises, published more than 350 academic papers such as Science Advances and Nature Communications, which have been cited more than 14,000 times by Google, and won the second prize of the National Technological Invention Award, the first prize of the Chinese Institute of Electronics, the IEEE Standard Emerging Technology Award, etc., and was selected as one of the "Top 2% Scientists in the World".
Title: Theory and Methods of Large-Scale Spiking Neural Networks
Summary:
Brain-inspired spiking neural networks (SNNs) are known as the third generation of artificial neural networks, which can perform calculations energy-efficient by simulating neural dynamics, event-driven and other computational characteristics. The construction of large-scale spiking neural networks has brought breakthroughs in brain-inspired artificial intelligence, neuromorphic computing, and multiple application fields. At the same time, the inversion of brain regions through SNN provides an important tool for studying the mechanism of biological brain. This report introduces the latest research progress in the basic concepts, model algorithms, software and hardware, applications and inversion of the brain, and finally summarizes and looks forward to the development trend of brain-inspired computing systems.
Lu Baoliang
Professor, Department of Computer Science and Engineering, Shanghai Jiao Tong University
上海零维一思科技有限公司创始人兼首席科学家、IEEE Fellow。 1994年获日本京都大学工学博士学位，现任IEEE Trans. Affective Computing和Journal of Neural Engineering编委。 荣获2018 IEEE Trans. Autonomous Mental Development最佳论文奖、2020年度吴文俊人工智能自然科学一等奖、2021 IEEE Trans. Affective Computing最佳论文奖和2022亚太神经网络学会杰出成就奖，入选爱思唯尔2020、2022、2022和2023中国高被引学者榜单。 主要研究领域包括仿脑计算理论与模型、深度学习、情感智能和情感脑机接口。
Title: Affective Brain-Computer Interface and Affective Intelligence: Current Situation and Challenges
Summary:
With the emergence of GPT and Sora, artificial general intelligence (AGI) has received everyone's attention, and some people believe that AGI will be the strategic commanding heights of international technology competition in the next ten years. If human intelligence is regarded as an organic combination of IQ and EQ, then the EQ corresponding to AGI is emotional intelligence. The research goal of emotional intelligence is how to give machines the ability to recognize, understand, express, and simulate human emotions. Affective brain-computer interface is a human-computer interaction system that recognizes and regulates human emotions, and is one of the important ways to realize emotional intelligence. This report introduces the research status and challenges of affective brain-computer interface and affective intelligence.
Chen Xun
Professor and Deputy Dean of the School of Information Science and Technology, University of Science and Technology of China
Changjiang Scholar Distinguished Professor. He has published more than 100 papers in international authoritative journals such as IEEE SPM/TNSRE/TBME, and has been cited more than 10,000 times by Google Scholar. Vice Chairman of the Youth Working Committee, Vice Chairman of the Brain-Computer Fusion Committee of the Chinese Society of Artificial Intelligence, and editorial board member of IEEE TIM/SPL/OJSP and other international journals.
Presentation Title: Multi-source Neural Signal Computing
Summary:
Nerve signals contain abundant human health information, and their processing and analysis play an important role in the whole process of health protection, such as active prevention, intelligent diagnosis, precision treatment, and scientific rehabilitation. However, neural signals have the characteristics of weak magnitude, strong randomness, and diverse modalities, which cause challenges such as severe aliasing, poor repeatability, and multi-source heterogeneity. From the perspectives of multiple set and multimodality, the report will introduce the neurophysiological signal decomposition, association and fusion methods based on joint blind source separation and deep feature representation and their related applications, and discuss how to effectively separate complex interference information, analyze potential common information, and mine heterogeneous complementary information, so as to overcome interference, seek common ground while reserving differences, and integrate and complement each other.
Zhang Yuqing
Chief physician and associate professor of functional neurosurgery at Beijing Xuanwu Hospital, Capital Medical University
He has been focusing on the neuromodulation treatment of Parkinson's disease and movement disorders for 25 years, and has accumulated rich experience in the neuromodulation treatment of brain functional diseases, especially Parkinson's disease, and has been funded by a number of special funds from the Ministry of Science and Technology of the People's Republic of China and Beijing Municipality. He has been a visiting scholar at the University of Florida Health Science Center (UF), Cleveland Clinical Foundation (CCF), and Vanderbilt University Hospital (VUH). Organize and implement the largest multicenter pre-marketing and post-marketing study of Parkinson's disease DBS in China. He is the executive director of the China Parkinson's Disease Neuromodulation Alliance, the chairman of the Neuromodulation Committee of the Beijing Medical Science and Technology Development Association, and the vice chairman of the Neuromodulation and Human-Computer Interaction Committee of the Beijing Medical Doctor Association.
Title: Application of neuromodulation techniques in Parkinson's disease
Summary:
The application of neuromodulation technology in Parkinson's disease is gradually changing our understanding of the treatment of movement disorders. Among them, DBS surgery can effectively alleviate the symptoms of tremor and stiffness of patients with its precise electrical stimulation control, and realize the regulation of human body functions by electricity. The development of neuromodulation technology allows us to have a deeper understanding of the working mechanism of the brain, which creates the possibility of brain-computer interface. Brain-computer interface technology allows us to connect directly with the brain through external devices to enable human-computer interaction. Looking to the future, from neuromodulation to brain-computer interface, it will develop from treating the human body to strengthening the human body, and challenges and opportunities coexist.
Wu Dongrui
Professor and assistant dean of the School of Artificial Intelligence and Automation, Huazhong University of Science and Technology
IEEE Fellow, Editor-in-Chief of IEEE Transactions on Fuzzy Systems (IF=11.9), and member of the Information Discipline Editorial Working Group of National Science Review. His main research interests are brain-computer interface, machine learning, etc. He has published more than 100 SCI papers such as PIEEE, IEEE TPAMI, National Science Review, etc., and has been cited more than 13,000 times by Google Scholar (H=60). From 2017 to 2022, he was selected as one of the top 2% scientists in the world by Stanford University for six consecutive years. He won the first prize of the Natural Science Award of the 2023 Chinese Society of Automation (1/5), the 2022 Youth Science Award of the Ministry of Education, the 2021 Young Scientist Award of the Chinese Society of Automation, etc., and won the national championship of the China Brain-Computer Interface Competition Technology Competition from 2021 to 2022.
Title: Accurate and secure brain-computer interface decoding algorithms
Summary:
Brain-computer interface is a direct interaction channel between the brain and external devices, which can be used to enhance memory, attention, learning and task execution ability, help people with disabilities repair visual, auditory, language and motor functions, and diagnose and treat brain-related diseases such as epilepsy, depression, and Parkinson's disease. Brain-computer interface is an important part of the China Brain Project. In January 2024, the "Implementation Opinions of the Ministry of Industry and Information Technology and Other Seven Departments on Promoting the Innovation and Development of Future Industries" pointed out that it is necessary to break through 10 innovative landmark products such as brain-computer interfaces and "develop a batch of easy-to-use and safe brain-computer interface products". This report will introduce a new EEG signal decoding algorithm to achieve accurate decoding and confrontation security at the same time.
Yao Lin
Researcher at Zhejiang University
He was selected into the National High-level Young Talent Introduction Program, a researcher at the Frontier Science Center for Brain and Brain-Computer Integration of the Ministry of Education of Zhejiang University, and a researcher at the National Key Laboratory of Brain-Computer Intelligence of Zhejiang University. He has done postdoctoral research at the University of Göttingen in Germany, the University of Waterloo in Canada, and Cornell University in the United States. His main research interests include brain-computer interface, digital medicine, neurorehabilitation engineering, adaptive neuromodulation, etc. He has published more than 50 research papers in top journals and important international conferences in the field of biomedical engineering, including IEEE TNSRE 10 papers and communications, IEEE TBME 4 papers and communications, JNE 3 papers and communications, etc. In 2015 and 2016, he was nominated for the Brain-Computer Interaction Innovation Award for two consecutive years.
Title: Research on sensory brain-computer interface for stroke rehabilitation
Summary:
Stroke leads to loss of motor function, accompanied by somatosensory impairment, and the enhancement and recovery of the brain machine in the sensory channel will promote the rehabilitation of motor function. This report will review the current situation of motor imagination brain-computer interface in stroke rehabilitation and the challenges faced by motor image decoding, and then introduce our research on sensory brain-computer interface, including tactile perception and tactile imagination brain-computer interface paradigm. Sensory brain-computer interfaces will provide new training and enhancement avenues for stroke rehabilitation.
Speculative guest
Long Jinyi
Professor of Jinan University, Dean of the Department of Computer Science, and Deputy Dean of the International College
Winner of the Guangdong Outstanding Youth Project and the first prize winner of the Guangdong Provincial Natural Science and Technology Award (ranked 3rd). He is mainly engaged in research in the fields of brain-computer interaction and fusion, medical artificial intelligence, motor control and rehabilitation. So far, he has published more than 70 papers in journals and conferences such as TPAMI, PR, Brain, and Cerebral Cortex. Chairman of CCF YOCSEF Guangzhou 23-24.
Qiu-shi-hai
Researcher of Guangdong Institute of Intelligent Science and Technology
In 2019, he graduated from the Hong Kong Polytechnic University with a Ph.D. degree in Biomedical Engineering. From 2019 to 2022, he was engaged in postdoctoral research at Stanford University School of Medicine. He has won many awards from international conferences (including authoritative international conferences in the fields of neuroscience, biophysics, biomedical engineering, optical engineering, etc.). The research results have been published in academic journals such as Nature communications, PNAS, Cell Reports, iScience, Advanced Science, Brain stimulation, Advanced Photonics Research, IEEE TUFFC, STAR Protocols, etc. 1 natural surface project in the host country. He has applied for 6 Chinese invention patents and 4 US patents. He was invited to write a chapter on ultrasound neuromodulation in the Transcranial Brain Regulation Tool Book at the University of Oxford. He is an Advisory board member of STAR Protocols magazine.
Lian Shizhong
Deputy Director of the Department of Neurosurgery and Director of the Department of Functional Neurosurgery of the First Hospital of Shanxi Medical University
He is a member of the Neuroelectrophysiology Committee of the Chinese Medical Doctor Association, a member of the Functional Neurosurgery Committee of the Peripheral Nerve Repair Committee of the Chinese Medical Doctor Association, a member of the Standing Committee of the Percutaneous Balloon Compression Group of the China Cranial Nerve Disease Treatment Collaboration Group, the vice chairman of the Epilepsy and Neuroelectrophysiology Committee of the Shanxi Medical Association, and a standing member of the Shanxi Anti-Epilepsy Council. It mainly performs surgical treatment of neurosurgical functional diseases such as Parkinson's, dystonic disorders, epilepsy, various pains, spasms, coma and awakening, and hemiplegia. He has published 4 SCI papers, won two second prizes of Shanxi Provincial Science and Technology Progress Award, and one first prize of Shanxi Provincial University Science and Technology Progress Award.
Hu Xinyu
Associate Professor, School of Management Science and Engineering, Shanxi University of Finance and Economics
Chairman of CCF YOCSEF Taiyuan, member of the Executive Committee of Science Popularization Working Committee, and guest translator of CCCF journals. His research interests are the Internet of Things and wearable computing. Up to now, he has published more than 30 academic papers, authorized 3 patents, published 2 computer textbooks and 1 translation.