- 제목: Comparative connectomics reveals neural circuits underlying stage-specific behaviors

- 연사: 배준환 교수님 (KAIST 생명과학과)

- 초청자: 최명환 교수님(서울대학교 뇌인지과학과)

- 일시: 2026년 5월 14일 (목) 오전 11시

- 장소: 서울대학교 관악캠퍼스 자연과학대학 500동 1층 목암홀

- 링크: https://snu-ac-kr.zoom.us/j/89840360149?pwd=xSoRKdjq47gkLRmAnGzigHD7tOyCWa.1

   회의 ID: 898 4036 0149   암호: 12345

- Abstract:

Biological neural circuits are intricate systems composed of vast numbers of neurons interconnected through enormous, dynamic networks of synapses. These neural circuits regulate neuronal activity, which ultimately drives behavior. My research aims to identify these fundamental structural principles underlying function using connectomics. While existing light microscopy techniques have offered important insights, they leave critical gaps that limit comprehensive circuit analysis. To truly understand how the brain achieves robust computation, it is essential to reconstruct the complete structural map of neurons, known as the connectome. I apply artificial intelligence to 3D electron microscopy to reconstruct all neurons and their synaptic connectivity, enabling mapping from structure to function. With connectome, it becomes feasible to identify how circuit architectures give rise to specific functions. Moreover, through comparative connectomics, it is possible to identify model-specific circuitry to predict model-specific behaviors. In this talk, I will discuss how neural circuit architecture predicts behavioral outcomes in C. elegans and how stage-specific circuit rewiring leads to distinct behaviors of its alternative developmental stage, dauer.