Keynote Speaker

2027 年會將邀請兩位國際知名的神經科學家， David Poeppel 教授與 Benjamin Hayden 教授擔任主題演講講者。他們的研究領域涵蓋聽覺、視覺、語言、音樂、與決策，運用腦影像、神經電生理技術，以及數學與計算建模，探討大腦如何將外在環境的物理刺激訊號轉化為具有結構與意義的心理表徵。

David Poeppel 教授探討神經振盪如何參與聽覺處理與語言理解。神經影像學與電生理學的進展，加深了我們對語音處理的理解，從音素——語音的基本單位，有時被形容為語音中的「小片段」——到音節等較大的單位。語音會隨時間展開，並具有節律性的結構。神經振盪可能有助於大腦追蹤並處理這些時間模式。Poeppel 教授的研究有助於我們理解，大腦如何從連續的語音中擷取結構，並將聲音轉化為語言表徵。

Benjamin Hayden 教授研究人腦如何表徵意義。他的研究讓實驗參與者聆聽 Podcast ，並同時記錄參與者大腦海馬迴中單神經元細胞的活動。他的研究發現，我們可以用幾何學的概念理解心智表徵。透過「表徵幾何」（representational geometry）的分析方法，他發現人類海馬迴中細胞群體的活動，反映了單一語言及不同語言的語意結構。

The 2027 Annual Meeting will feature Professor David Poeppel and Professor Benjamin Hayden as keynote speakers. Both are internationally renowned neuroscientists whose research spans hearing, language, music, visual perception, and decision-making. Using neuroimaging, electrophysiology, and mathematical and computational modeling, their works focus on how the brain transforms continuous sensory signals into structured and meaningful mental representations.

Professor David Poeppel investigates how neural oscillations contribute to auditory processing and language comprehension. Advances in neuroimaging and electrophysiology have deepened our understanding of speech processing, from phonemes—the basic units of speech, sometimes described as “little bits”—to larger units such as syllables. Speech unfolds over time and has a rhythmic structure. Neural oscillations may help the brain track and process these temporal patterns. Poeppel’s research sheds light on how the brain extracts structure from continuous speech and transforms sound into linguistic representations.

Professor Benjamin Hayden investigates how the human brain represents meaning. In his research, he recorded the activity of individual neurons in the human hippocampus while participants listened to podcasts. His findings highlight representational geometry as a framework for understanding how populations of neurons encode semantic information. This approach reveals how the human hippocampus represents meaning both within and across languages.