# Researchers create Spi-Fly spiking network that learns odors from few examples

Digest AI · Research · published 2026-09-22T02:07:59Z

Canonical: https://digestai.news/story/researchers-create-spi-fly-spiking-network-that-learns-odors-from-few

## Summary

Researchers at the Okinawa Institute of Science and Technology, or OIST, introduced Spi-Fly, a spiking neural network inspired by the fruit fly olfactory system. The algorithm uses 1,000 hidden neurons and learns to classify odors after only a few exposures. On a gas‑sensor dataset of 200 recordings of ten compounds, Spi-Fly reached peak performance after each odor was seen just three times. A second synthetic dataset with 18 odors and five receptor types achieved its best results after a single presentation per odor.

Spi-Fly also demonstrated strong continual‑learning ability, adding new odor classes without significant forgetting, unlike a spiking network trained with backpropagation through time (BPTT). The model remained effective at 6‑bit weight precision and even outperformed BPTT at 4 bits. Researchers estimated its off‑chip memory requirements to be about five orders of magnitude lower than BPTT‑based methods, making it suitable for compact, energy‑constrained hardware. Limitations include lower accuracy after many training cycles, no updates to input‑hidden connections, and reduced performance with very low precision. The team plans to integrate Spi-Fly with odor‑sensing hardware alongside collaborators at TU Eindhoven and Kiel University.

## Key points

- Spi-Fly learns each odor after only three exposures on a 200‑sample gas‑sensor dataset.
- The network uses 1,000 hidden neurons and retains performance with 6‑bit weight precision, outperforming BPTT at 4 bits.
- Off‑chip memory needs are about five orders of magnitude lower than backpropagation methods.

## Why it matters

Spi-Fly shows that biologically inspired spiking networks can achieve few‑shot odor learning and low memory use, opening paths for compact neuromorphic devices.

## Sources

1. [Fruit fly-inspired AI learns smells quickly with far less memory](http://thebrighterside.news/post/fruit-fly-inspired-ai-learns-smells-quickly-with-far-less-memory) (thebrighterside.news, 2026-09-22)

## Cite

Digest AI, "Researchers create Spi-Fly spiking network that learns odors from few examples", 22 September 2026, https://digestai.news/story/researchers-create-spi-fly-spiking-network-that-learns-odors-from-few

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