Group 1: Brain-Machine Interface Achievements - A patient with motor dysfunction successfully operated social media applications and controlled a smart wheelchair using a 256-channel flexible brain-machine interface designed by Brain Tiger Technology after two weeks of training [1] - Another patient with language dysfunction achieved real-time Mandarin communication at a speed of 50 words per minute, which is about one-third of the average person's speaking speed, with a latency of less than 100 milliseconds [1][3] Group 2: Digital Twin Brain Development - The Digital Twin Brain (DTB) project, led by a team from Fudan University, aims to simulate the human brain to enhance understanding of information processing and improve brain disease diagnosis and treatment [4][5] - The DTB is constructed by dividing brain imaging data into 23,000 blocks, each approximately 3mm in size, and using MRI data to clarify connections between these blocks [4][5] - The team has achieved a Pearson correlation coefficient of 0.63 for visual experiments and 0.57 for auditory experiments, indicating a high similarity between DTB activity patterns and human brain activity [5] Group 3: Advancements in Brain-Like Intelligence - Research on brain-like intelligence focuses on creating systems that mimic the efficiency of biological brains while overcoming high energy consumption issues faced by current AI systems [7][8] - The development of the Darwin III brain-like chip, which has the largest scale of neurons on a single chip, represents a significant advancement in this field [7] - The goal is to extract efficient characteristics from biological brains, such as sparse connectivity and dynamic activation, rather than mechanically replicating them [8] Group 4: Cross-Species Brain Research - Cross-species brain research is emerging as a critical area in brain science, providing simplified models from lower organisms that can inform human brain models [9] - The ultimate aim of both Digital Twin Brain and brain-like intelligence research is to deepen the understanding of brain mysteries and advance AI technology to better serve medical and scientific fields [9][10] - The Digital Twin Brain has shown potential for precision medicine, allowing for the simulation of specific brain conditions to test treatment options, thereby reducing clinical trial costs and improving targeted therapies [10]
数字孪生大脑与人类大脑相似度已近六成
3 6 Ke·2025-07-28 00:25