Just like a fruit fly, a new algorithm never forgets old scents
Summary
Researchers created a new algorithm called Spi-Fly that mimics how fruit flies recognize and remember smells. Unlike current electronic noses that quickly forget old scents when learning new ones, this algorithm stores odor information more effectively by copying the fly’s brain process.Key Facts
- Fruit flies have about 140,000 neurons and can quickly recognize and remember many smells.
- Current electronic noses are expensive, detect a narrow range of smells, and forget old odors when learning new ones.
- Odor recognition is complex because smells don’t follow a single measurable pattern like light or sound.
- Fruit flies use 2,000 specialized cells called Kenyon cells to create a “barcode” for each odor, which helps them remember smells.
- Anterior paired lateral neurons (APL) help by turning off most Kenyon cells, leaving only a few active to represent the smell.
- Spi-Fly converts sensor data into a system inspired by the fly’s olfactory process, improving memory of smells in simulations.
- The algorithm works after the smell is detected by sensors and focuses on processing and remembering scent patterns.
Read the Full Article
This is a fact-based summary from The Actual News. Click below to read the complete story directly from the original source.
