Just like a fruit fly, a new algorithm never forgets old scents
摘要
果蝇虽小，却能以约14万神经元快速识别并长期记忆大量气味，远超现有“电子鼻”在成本、检测范围和记忆稳定性上的表现。受此启发，冲绳科学技术研究所的Kevin Max与Yang Shen开发出新算法Spi-Fly，相关论文发表于《神经形态计算与工程》期刊。该算法模仿果蝇嗅觉处理机制，旨在解决电子鼻在学习新气味时遗忘旧气味的问题。
Fruit flies aren't exactly famous for their brainpower; you've probably drowned more than one in a wine glass left too long on the patio table. And yet, working with roughly 140,000 neurons—a brain smaller than a poppy seed—Drosophila can sort through a huge range of smells in a fraction of a second, and then retain the memory of that scent for a long time.
In this, they do much better than current "electronic noses." Even the most advanced ones on the market tend to be expensive, painfully narrow in what they can detect, and quick to forget an odor the moment they learn a new one.
So why not just copy the fly? That's the question a growing number of researchers have been asking—including Kevin Max and Yang Shen at the Okinawa Institute of Science and Technology, whose new algorithm, Spi-Fly, is described in a paper recently published in the journal Neuromorphic Computing and Engineering.
转载信息
评论 (0)
暂无评论，来留下第一条评论吧