2808, 2025 UM research team uncovers neural mechanisms underlying human escape behaviour using intracranial electrophysiological signals Gallery UM research team uncovers neural mechanisms underlying human escape behaviour using intracranial electrophysiological signals Research News UM research team uncovers neural mechanisms underlying human escape behaviour using intracranial electrophysiological signalsliangxuanyu Yu Liangxuan2025-08-28T11:58:23+08:002025-08-28|
1408, 2025 New validation study of the AI-Interaction Positivity Scale is out by Prof. Montag Gallery New validation study of the AI-Interaction Positivity Scale is out by Prof. Montag Research News New validation study of the AI-Interaction Positivity Scale is out by Prof. Montagliangxuanyu Yu Liangxuan2025-08-16T00:11:41+08:002025-08-14|
207, 2025 Investigating the Neural Mechanisms of Human Escape Behavior Using Intracranial Electrophysiological Signals by Prof. Haiyan WU Gallery Investigating the Neural Mechanisms of Human Escape Behavior Using Intracranial Electrophysiological Signals by Prof. Haiyan WU Research News Investigating the Neural Mechanisms of Human Escape Behavior Using Intracranial Electrophysiological Signals by Prof. Haiyan WUliangxuanyu Yu Liangxuan2025-07-02T18:10:13+08:002025-07-02|
2406, 2025 Towards AI-Well-Being by Prof. Christian Montag Gallery Towards AI-Well-Being by Prof. Christian Montag Research News Towards AI-Well-Being by Prof. Christian Montagliangxuanyu Yu Liangxuan2025-07-02T18:10:45+08:002025-06-24|
1606, 2025 UM’s Breakthrough Discovery: Impaired Brain Waste Clearance Linked to Early Psychosis by Prof Zhen Yuan Gallery UM’s Breakthrough Discovery: Impaired Brain Waste Clearance Linked to Early Psychosis by Prof Zhen Yuan Research News UM’s Breakthrough Discovery: Impaired Brain Waste Clearance Linked to Early Psychosis by Prof Zhen Yuanliangxuanyu Yu Liangxuan2025-07-03T09:45:26+08:002025-06-16|
306, 2025 Prof. Cheng-Teng Ip‘s Team Discovered EEG Signal Complexity as a Predictor of Treatment Response to Ketamine in Patients with Depression Gallery Prof. Cheng-Teng Ip‘s Team Discovered EEG Signal Complexity as a Predictor of Treatment Response to Ketamine in Patients with Depression Research News Prof. Cheng-Teng Ip‘s Team Discovered EEG Signal Complexity as a Predictor of Treatment Response to Ketamine in Patients with Depressionliangxuanyu Yu Liangxuan2025-07-03T09:46:49+08:002025-06-03|
