Core Insights - The world's first multi-center clinical trial for a neural interface targeting hydrocephalus has been launched, marking a significant advancement in brain-machine interface technology beyond traditional applications [3][4][5] - The project involves leading medical institutions in China and aims to establish Chinese standards and solutions for precision treatment in neurological disorders [3][4] - Recent breakthroughs in cognitive science and brain-machine interfaces are opening new avenues for understanding brain functions and enhancing patient care [3][4] Group 1: Neural Interface Technology - The "North Brain No. 1" intelligent brain-machine system allows patients with conditions like ALS and spinal cord injuries to control devices using their thoughts, demonstrating promising clinical outcomes [5][6] - This system is a semi-invasive product that does not penetrate brain tissue, ensuring high safety and simplicity in surgical procedures [5][6] - The initial clinical trials have shown a high success rate, with over 98% of effective channels maintained after 7 months in the first patient [6] Group 2: Neuromorphic Computing - The "Wukong" neuromorphic computing system developed by Zhejiang University aims to simulate brain functions and enhance intelligent computing capabilities [7][8] - This system features advanced hardware with over 20 billion pulse neurons and a power consumption of approximately 2000 watts, making it one of the most efficient neuromorphic computers [7][8] - It has the potential to accelerate brain science research and reduce reliance on animal testing by simulating various animal brains [8][9] Group 3: Brain Imaging Technology - The development of a wearable atomic magnetometer for brain magnetometry allows for more precise and mobile brain activity monitoring, which can aid in diagnosing brain diseases [10][11] - This technology significantly reduces the cost and complexity of brain scans, making it accessible for large-scale screening of conditions like autism and Alzheimer's disease [10][11] - The system's portability and ease of use are expected to enhance early diagnosis and intervention for various neurological disorders [11] Group 4: Olfactory Function Assessment - A localized olfactory function assessment and training system has been developed to detect early signs of neurodegenerative diseases through changes in smell [12][13] - This system can provide early warnings for conditions like Parkinson's and Alzheimer's, potentially allowing for earlier intervention [12][13] - The training program is designed to be user-friendly and can be conducted via a mobile application, creating a feedback loop for monitoring and intervention [12][13]