英国布里斯托大学研究团队展示了脑类器官识别布莱叶盲文信号的能力，这是开发能源高效生物混合计算机的关键一步1。该研究表明，脑类器官能够接收并传递来自触觉传感器的信号，为人工传感器与生物神经系统的连接提供了实践途径1。
单个脑类器官对信号的准确解码成功率为61%，但当三个脑类器官协同工作时，成功率大幅提升至83%1。这些脑类器官规模微小，直径不超过一毫米，仅含约10,000个神经元1。研究人员采用支持向量机算法对神经活动进行分类1。由第一作者Tianyi Liu主导的这项研究已发表在《Frontiers in Artificial Intelligence》期刊上1。
值得注意的是，当前研究尚未证明脑类器官是否能够随时间推移而学习1。
Researchers at the University of Bristol have shown that miniature brain organoids can recognize and decode Braille signals, marking a significant advance toward developing energy-efficient biohybrid computers 1. A single brain organoid successfully decoded signals with 61% accuracy, while three organoids working together achieved an 83% success rate 1. The organoids, each no larger than one millimeter and containing approximately 10,000 neurons, were able to receive and transmit signals from tactile sensors, demonstrating a practical pathway for integrating artificial sensors with biological neural systems 1.
The study employed support vector machines to classify neural activity patterns in response to tactile inputs corresponding to Braille letters 1. Lead author Tianyi Liu and collaborators, including Benjamin Ward-Cherrier, published their findings in Frontiers in Artificial Intelligence 1. However, the research has not yet demonstrated whether brain organoids can learn and improve their performance over time 1.
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