2024-09-09
認知神經科學工作坊Cognitive Neuroscience Workshop
腦科學與數位健康的創新:人工智慧、神經影像及其未來Innovations in Brain Science and Digital Health: AI, Neuroimaging, and Beyond
Organizers:
Taiwan Cognitive Neuroscience Society 臺灣認知神經科學學會
Taiwan Brain and Mind Imaging Center, National Cheng-Chi University 國立政治大學台灣心智科學腦造影中心
Date: January 10th (Fri.)
Time: 3:00 PM - 6:00 PM
Location:
Room 226, Science Building 2, National Central University 國立中央大學科二館226教室
Introduction to the workshop 工作坊介紹
The "Innovations in Brain Science and Digital Health: AI, Neuroimaging, and Beyond" workshop aims to delve into the latest advancements at the nexus of neuroscience and digital health. Hosted by the Taiwan Cognitive Neuroscience Society and the Taiwan Brain and Mind Imaging Center, this event will explore the transformative role of artificial intelligence and neuroimaging in understanding and enhancing brain function.
The workshop will begin with a discussion on the application of AI in biomedical data analysis, addressing the opportunities and challenges that come with integrating machine learning into healthcare. Following this, the focus will shift to the development of deep learning models specifically tailored for neuroimage analysis, highlighting their potential to revolutionize our understanding of brain structure and function.
The third session of the workshop will explore the roles of brain voxel functional states and the constraints on inter-voxel communication, providing insights into the fundamental workings of the brain. The final session will offer practical insights from neuro-engineering, particularly in the context of Autism Spectrum Disorder (ASD) and Methamphetamine Use Disorder (MUD), illustrating the real-world applications of these innovative approaches. This workshop is set to be a comprehensive exploration of how technology is reshaping brain science.
「腦科學與數位健康的創新:人工智慧、神經影像及其未來」工作坊旨在深入探討神經科學與數位健康交叉領域的最新進展。本次活動由台灣認知神經科學學會與國立政治大學台灣腦與心智影像中心主辦,將探索人工智慧與神經影像在理解和提升大腦功能方面的變革性角色。
工作坊將從人工智慧在生物醫學數據分析中的應用討論開始,探討機器學習整合到醫療保健中的機遇與挑戰。隨後,焦點將轉向專為神經影像分析設計的深度學習模型的開發,強調這些模型在革新我們對大腦結構和功能理解方面的潛力。
第三場專題將探討大腦體素功能狀態的角色以及體素間通信的限制,提供有關大腦基本運作機制的新見解。最後一場專題將提供來自神經工程領域的實踐見解,特別是在自閉症譜系障礙(ASD)和甲基安非他命成癮症(MUD)的背景下,展示這些創新方法的實際應用。本次工作坊將全面探討科技如何重塑腦科學的未來。
報名網址:http://140.115.47.150/tscn/2025workshop/index.asp
Speakers 講者
張彙音教授
國立中央大學生醫科學與工程學系
Time:3:00 PM - 3:40 PM Jan. 10, 2025
Topic:AI for Biomedical Data Analysis: Opportunities and Challenges
黃騰毅教授
國立臺灣科技大學電機工程學系
Time:3:40 PM - 4:20 PM Jan. 10, 2025
Topic: Developing Deep Learning Models for Neuroimage Analysis
吳恩賜教授
國立臺灣大學腦與心智科學研究所
Time:4:35 PM - 5:15 PM Jan. 10, 2025
Topic: Exploring Metrics of Brain Voxel Functional States and Inter-Voxel Communication Constraints
陳純娟教授
國立中央大學生醫科學與工程學系
Time:5:15 PM - 5:55 PM Jan. 10, 2025
Topic: Neuro-Engineering and Digital Health: Practical Insights from ASD and MUD
Venue Map 場地位置圖
主辦單位:社團法人臺灣認知神經科學學會、國立政治大學台灣心智科學腦造影中心
協辦單位:國立中央大學認知神經科學研究所