The free energy principle (FEP) in the neurosciences stipulates that all viable agents induce and minimize informational free energy in the brain to fit their environmental niche. In this study, we continue our effort to make the FEP a more physically principled formalism by implementing free energy minimization based on the principle of least action. We build a Bayesian mechanics (BM) by casting the formulation reported in the earlier publication (Kim 2018) to considering active inference beyond passive perception. The BM is a neural implementation of variational Bayes under the FEP in continuous time. The resulting BM is provided as an effective Hamilton's equation of motion and subject to the control signal arising from the brain's prediction errors at the proprioceptive level. To demonstrate the utility of our approach, we adopt a simple agent-based model and present a concrete numerical illustration of the brain performing recognition dynamics by integrating BM in neural phase space. Furthermore, we recapitulate the major theoretical architectures in the FEP by comparing our approach with the common state-space formulations.
A Novel Brain-Computer Interface Architecture: The Brain-Muscle-Hand Interface for replicating the motor pathway
Zhengzhou University（郑州大学）；Henan Provincial Key Laboratory of Brain Science and Brain-Computer Interface Technology（河南省脑科学与脑机接口技术重点实验室）；Xi’an Jiaotong University（西安交通大学）；Rocket Force University of Engineering（火箭军工程大学）；University of Electronic Science and Technology of China（电子科技大学）；Chinese Academy of Medical Sciences（中国医学科学院）
A region-specific brain dysfunction underlies cognitive impairment in long COVID brain fog
State Key Laboratory of Cognitive Neuroscience and Learning, IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China（北京师范大学认知神经科学与学习国家重点实验室、IDG/麦戈文脑科学研究院）；Chinese Institute for Brain Research, Beijing, China（北京脑科学与类脑研究中心）；Department of Neurology & Innovation Center for Neurological Disorders, Xuanwu Hospital, Capital Medical University, National Center for Neurological Disorders, Beijing 10053, China（首都医科大学宣武医院神经内科及神经系统疾病创新中心、国家神经系统疾病临床医学研究中心）；Department of Physical Therapy, Shandong Daizhuang Hospital, Jining, Shandong, China（山东戴庄医院物理治疗科）；Jining Key Laboratory of Neuromodulation, Jining, Shandong, China（济宁神经调控重点实验室）；State Key Laboratory of Cognitive Science and Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing 1001101, China（中国科学院心理研究所认知科学与心理健康国家重点实验室）；Department of Psychology, University of Chinese Academy of Science, Beijing 100049, China（中国科学院大学心理学院）；Max Planck University College London Centre for Computational Psychiatry and Ageing Research, London, UK（伦敦大学学院马克斯·普朗克计算精神病学与衰老研究中心）；Department of Human Neuroimaging, Institute of Neurology, UCL, London, UK（伦敦大学学院神经学研究所人类神经影像系）；Key Laboratory of Neurodegenerative Diseases, Ministry of Education of the People’s Republic of China, Beijing 100053, China（教育部神经退行性疾病重点实验室）
BCMI-Driven Motion Control Detection: EEG-Based Machine Learning and Interaction Entropy for High-Order Brain Networks
College of Information and Control Engineering, Xi'an University of Architecture and Technology（西安建筑科技大学信息与控制工程学院）；Department of Neurosurgery, General Hospital of Central Theater Command（中部战区总医院神经外科）
Recurrent network dynamics explain the time course of perceptual grouping in natural scenes
Netherlands Institute for Neuroscience（荷兰神经科学研究所）；Brown University（布朗大学）；Carney Institute for Brain Science, Brown University（布朗大学卡尼脑科学研究所）；Centrum Wiskunde & Informatica（数学与计算机科学中心）；University of Amsterdam（阿姆斯特丹大学）；Sorbonne Université（索邦大学）；Institut National de la Santé et de la Recherche Médicale（国家健康与医学研究院）；Centre National de la Recherche Scientifique（法国国家科学研究中心）；Institut de la Vision（视觉研究所）；VU University（自由大学）；Academic University Medical Center（学术医学中心）
Peripheral brain interfacing: Reading high-frequency brain signals from the output of the nervous system
Universidad de Zaragoza（萨拉戈萨大学）；Instituto de Salud Carlos III（卡洛斯三世健康研究所）；Imperial College（帝国理工学院）；Newcastle University（纽卡斯尔大学）；University of Freiburg（弗赖堡大学）
A Framework for Exploring Non-Linear Functional Connectivity and Causality in the Human Brain: Mutual Connectivity Analysis (MCA) of Resting-State Functional MRI with Convergent Cross-Mapping and Non-Metric Clustering
Beyond Performance Scores: Directed Functional Connectivity as a Brain-Based Biomarker for Motor Skill Learning and Retention
Rensselaer Polytechnic Institute（伦斯勒理工学院）；University at Buffalo（布法罗大学）；University at Buffalo Jacobs School of Medicine and Biomedical Sciences（布法罗大学雅各布斯医学与生物医学科学学院）；Uniformed Services University of the Health Sciences（uniformed services health sciences university）；U.S. Army Futures Command, Combat Capabilities Development Command Soldier Center STTC（美国陆军未来司令部作战能力发展司令部士兵中心STTC）
Multi-Feature Riemannian Hypergraph for Online Test-Time Adaptation of Motor Imagery Brain-Computer Interface
Peking University（北京大学）；Chinese Institute for Brain Research（中国脑科学研究院）；NeuCyber Neurotech（纽赛博神经科技公司）；Beijing Medical University（北京医科大学）；Chinese Academy of Medical Sciences & Peking Union Medical College（中国医学科学院北京协和医学院）
Dissociable neural representations of adversarially perturbed images in convolutional neural networks and the human brain
National Digital Switching System Engineering and Technological Research Center（国家数字交换系统工程技术研究中心）；People's Hospital of Henan Province（河南省人民医院）；Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine（上海交通大学医学院附属精神卫生中心）；Institute of Psychology and Behavioral Science, Shanghai Jiao Tong University（上海交通大学心理与行为科学研究院）
Emergent togetherness in collaborative dance improvisation: neural and motor synchronization reveal a coupling-decoupling paradox
Physics Institute, Federal University of Bahia（巴伊亚联邦大学物理研究所）；Physics Department, Federal University of Pernambuco（伯南布哥联邦大学物理系）；Superior School of Physical Education, University of Pernambuco（伯南布哥大学高等体育教育学院）；Faculty of Human Kinetics, University of Lisbon（里斯本大学人类动力学学院）；Institute of Ethnomusicology - Centre for Studies in Music and Dance（民族音乐学研究所 - 音乐与舞蹈研究中心）；Dance School, Federal University of Bahia（巴伊亚联邦大学舞蹈学院）；Department of Performing Arts, Federal University of Rio de Janeiro（里约热内卢联邦大学表演艺术系）
