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活動與演講

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日期:2025-09-27

國立政治大學心理學系114-1學術研討會

講者:楊仁豪   助理教授 (國立中山大學   臨床醫學科學博士學位學程)

講題:When AI Meets Animals: Challenges And Opportunities For Translational Mouse Models

時間:2025102日(星期四)14:10 – 16:00

地點:政治大學果夫樓101會議室

!!敬邀各位師生踴躍參加!! 

 

演講大綱:

      Animal models have long been central to psychology research, providing critical insights into the behavioral and cognitive mechanisms underlying human disorders. However, traditional approaches often require experimenter observation to large animal sample sizes. This process is not only time-consuming but also susceptible to experimenter bias. For example, researchers may need to watch hundreds of hours of video to manually score animal behaviors. These limitations restricted translational capacity to capture the complexity of disorders-related phenotypes. With the advance of artificial intelligence (AI), new tools emerge to automate the scoring process, leading to increased efficiency and translational relevance of animal studies.

 

     This talk highlights how AI-driven tools utilizing both unsupervised and supervised learning revolutionize behavioral tracking and analysis in rodent models. These AI-based methods provide insights into motor function, anxiety-like behavior, and exploratory activity that are difficult to assess with traditional approaches. Importantly, AI can also be combined with brain-based techniques, such as optogenetics and photometry, to better connect behavior with neural activity. By integrating AI into animal research, we can gain deeper and more reliable knowledge that ultimately helps bridge basic research and clinical applications in treating debilitating mental disorders.

 

講者簡介:

楊老師在政治大學完成學士和碩士心理學位,之後於美國康乃狄克大學(University of Connecticut)心理學系取得行為神經科學博士,並在耶魯大學醫學院精神病理學系進行博士後研究,2023年返台後開始任教於國立中山大學臨床醫學科學博士學位學程。

研究專長興趣領域為透過神經科學、心理學與精神醫學等跨領域方法,探討大腦在健康與疾病中的關鍵角色,並以小鼠為模型,結合人工智慧分析工具、光遺傳學、神經影像技術及行為實驗等,從分子、神經迴路到行為層面深入研究神經機制。

 

講者網頁:

https://scholar.google.com/citations?user=9N2EhGoAAAAJ&hl=en&oi=ao

https://sites.google.com/view/yanglabnsysu/research?authuser=0

 

 

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