Welcome to Neuro-Instrumentation
& Computational Analysis Lab
We develop optical and computational technologies for brain and biomedical applications.
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Neuro-Instrumentation & Computational Analysis Lab | KAIST EE
News & Notice
(2025.04.01.) Prof. Yoon was selected as a recipent of 2025 Human Frontier Science Program (HFSP) Award. [Link]
(2025.03.06.) Our work on self-calibrating analog neuromorphic computing was highlighted as one of the Breakthrough achievements of KAIST. [Link]
(2025.02.27.) Our work on self-calibrating analog neuromorphic computing was highlighted in Editorial section of Nature Electronics. [Link]
(2025.02.11.) Our work on self-calibrating analog neuromorphic computing was featured in News & Views section of Nature Electronics. [Link]
(2025.01.08.) Nature Electronics: Analog neuromorphic computing with self-calibration (Jeong*, Han* et al) [Link] [KAIST News]
(2024.02.26.) SUPPORT was highlighted as one of the Breakthrough achievements of KAIST. [Link]
(2023.12.22.) Our multiplexed imaging technique, PICASSO, was covered by Nature Portfolio. [Link]
(2023.11.13.) Seungjae Han received Trainee Professional Development Award (TPDA) and AKN Outstanding Research Award at SfN Neuroscience 2023.
(2023.10.09.) SUPPORT (Eom*, Han*, Park* et al) made the cover of Oct. 2023 issue of Nature Methods. [Link]
(2023.09.19.) Nature Methods: SUPPORT (Eom*, Han*, Park* et al) takes voltage imaging to the next level through self-supervised learning [Link] [KAIST News]
(2023.09.19.) Prof. Young-Gyu Yoon posted our story behind the development of SUPPORT on Nature Communities. [Link]
(2022.08.29.) PICASSO was highlighted as one of the Breakthrough achievements of KAIST. [Link]
(2022.06.16.) Our multiplexed imaging method, PICASSO, was covered by Nature Communications. [Link]
(2022.05.31.) Changyeop and Hyun's work on virtual refocusing, RLP-Net, was selected as one of KAIST's research highlights of 2021. [Link]
(2022.05.05.) Nature Communications: PICASSO (Seo*, Sim*, Kim* et al) enables ultra-multiplexed imaging through blind source separation [Link] [KAIST News]
(2021.12.13.) Prof. Young-Gyu Yoon's EIRIC interview is available online. [Link]
(2021.10.01.) Changyeop Shin and Hyun Ryu's paper presented in MICCAI 2021 was selected for MICCAI Young Scientist Award. [KAIST News]
(2021.09.27.) Eun-Seo Cho and Seungjae Han's paper published in Optics Express was highlighted as Editors' pick.
(2021.07.13.) Changyeop Shin was selected as the recipient of 2021 MICCAI Student Travel Award.
(2021.07.13.) New website open: we migrated from Wix to Google Sites.
Contact
Joining our group
If you are interested in joining our group as a graduate student, an undergraduate student, or as a postdoc, please email the PI (Young-Gyu Yoon) at ygyoon at kaist.ac.kr with your transcript and CV that describes your background knowledge, interests and skills. In addition, please watch the two youtube videos, availble in the research tab of this website, before you contact.
Virtual lab tour
You can virtually visit our lab. [Link]
Mail Address
Young-Gyu Yoon
Building N24, Room #4103-1
School of Electrical Engineering, KAIST
291 Daehak-ro, Yuseong-gu, Daejeon, 34141
Republic of Korea
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