Learning to respond to voice-text input involves the subject's ability in understanding the phonetic and text based contents and his/her ability to communicate based on his/her experience. The neuro-cognitive facility of the subject has to support two important domains in order to make the learning process complete. In many cases, though the understanding is complete, the response is partial. This is one valid reason why we need to support the information from the subject with scalable techniques such as Natural Language Processing (NLP) for abstraction of the contents from the output. This paper explores the feasibility of using NLP modules interlaced with Neural Networks to perform the required task in autogenic training related to medical applications.
NeuroCogMap Reveals Cognitive Organization of Large Language Models
The University of Hong Kong（香港大学）；Institute of Automation, Chinese Academy of Sciences（中国科学院自动化研究所）；Gaoling School of Artificial Intelligence, Renmin University of China（中国人民大学高瓴人工智能学院）；State Key Laboratory of AI Safety, Institute of Computing Technology, Chinese Academy of Sciences（中国科学院计算技术研究所人工智能安全国家重点实验室）；College of Computing and Data Science, Nanyang Technological University（南洋理工大学计算机与数据科学学院）；IGS, Imperial College London（伦敦帝国理工学院IGS）
How do Humans Process AI-generated Hallucination Contents: a Neuroimaging Study
Department of Computer Science and Technology, Tsinghua University, Beijing, China（清华大学计算机科学与技术系）；Institute of Trustworthy Embodied AI, Fudan University, Shanghai, China（复旦大学可信具身人工智能研究院）
NAACA: Training-Free NeuroAuditory Attentive Cognitive Architecture with Oscillatory Working Memory for Salience-Driven Attention Gating
WAVES Research Group, Ghent University, Gent, Belgium（根特大学WAVES研究组，比利时根特）；AI Lab, Vrije Universiteit Brussel, Brussel, Belgium（布鲁塞尔自由大学AI实验室，比利时布鲁塞尔）；EECS, Queen Mary University of London, London, UK（伦敦大学学院女王学院电子工程与计算机科学系，英国伦敦）
A Scalable AI Driven, IoT Integrated Cognitive Digital Twin for Multi-Modal Neuro-Oncological Prognostics and Tumor Kinetics Prediction using Enhanced Vision Transformer and XAI
University of Calcutta（加尔各答大学）；Institute of Engineering and Management（工程与管理学院）；University of Engineering and Management（工程与管理大学）；San Francisco State University（旧金山州立大学）
A Whole Brain Probabilistic Generative Model: Toward Realizing Cognitive Architectures for Developmental Robots
Ritsumeikan University（立命馆大学）；The University of Tokyo（东京大学）；The Whole Brain Architecture Initiative（全脑架构倡议）；Osaka University（大阪大学）；Okinawa Institute of Science and Technology Graduate University（冲绳科学技术大学院大学）；Tamagawa University（玉川大学）；The University of Electro-Communications（电气通信大学）
ACTA: A Mobile-Health Solution for Integrated Nudge-Neurofeedback Training for Senior Citizens
University of Padova（帕多瓦大学）；National Centre for Neurology and Psychiatry（国家神经精神病学中心）；National Inter-University Consortium for Telecommunications (CNIT)（全国大学间电信联盟（CNIT））；University of Milan（米兰大学）；University of Milano-Bicocca（米兰比可卡大学）；Istituto Auxologico Italiano IRCCS（意大利辅助研究所IRCCS）；Catholic University of Milan（米兰天主教大学）
Industrial brain: a human-like autonomous neuro-symbolic cognitive decision-making system
State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China（多模态人工智能系统国家重点实验室，自动化研究所，中国科学院，北京，中国）；School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China（人工智能学院，中国科学院大学，北京，中国）；School of Computer Science and Technology, East China Normal University, Shanghai, China（计算机科学与技术学院，华东师范大学，上海，中国）
