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Sungho Hong

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As seen in: MSN UK, Nature, Yahoo Canada, arXiv, MDPI, The Conversation, Phys.org, Atlantico, Inkl, Liberal GR
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Articles

Who Do You Trust More: Your Colleagues or Your AI?

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By Sungho Hong, Victor J Drew
| socialsciencespace.com
Artificial Intelligence (Photo: Raquel Martínez /Unsplash) May 22, 2026 57 Artificial intelligence has crossed a threshold in the modern workplace. It is being used for everything from helping employees manage schedules to supporting financial forecasts. A similar shift is now unfolding inside research laboratories. There is currently a boom in national initiatives to accelerate the integration of AI into science.
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Τι συμβαίνει όταν οι επιστήμονες εμπιστεύονται την Τεχνητή Νοημοσύνη περισσότερο από τους συναδέλφους τους

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By Sungho Hong
| Liberal GR
Η Τεχνητή Νοημοσύνη έχει περάσει το κατώφλι στον σύγχρονο χώρο εργασίας. Χρησιμοποιείται για τα πάντα, από τη βοήθεια προς τους υπαλλήλους στη διαχείριση των προγραμμάτων τους έως την υποστήριξη των οικονομικών προβλέψεων. Μια παρόμοια αλλαγή λαμβάνει τώρα χώρα στα ερευνητικά εργαστήρια. Σήμερα παρατηρείται έντονη ανάπτυξη εθνικών πρωτοβουλιών με στόχο την επιτάχυνση της ενσωμάτωσης της Τεχνητής Νοημοσύνης στην επιστήμη.
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Synchronous climbing fiber activity enables instructive signaling for cerebellar learning through modulation of disinhibitory circuits

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By Changjoo Park, Zhen Yang, Abdulraheem Nashef, Jawon Gim, Sangkyu Bahn, Gyu Hyun Kim, Ke Zhang, Laurence Cathala, Sungho Hong, Sang-hoon Lee, Kisuk Lee, Min-Soo Kim, Don Arnold, Kea Joo Lee, Jason Christie, Jinseop S. Kim, Yoonseok Im
| Nature Verified
Abstract Motor learning relies on signals that instruct adaptive plasticity following errors. In the cerebellum, climbing fibers (CFs) provide these instructions to Purkinje cells (PCs). Yet CFs fire continuously, even without errors, requiring molecular layer interneuron (MLI) inhibition of PCs to counteract CF excitation and prevent maladaptive plasticity.
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