ArticleProceedings of the National Academy of Sciences of the United States of America2018
A neural data structure for novelty detection.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Review
- Hybrid neural networks in the mushroom body drive olfactory preference inScience advances · 2025Article
- A non-Hebbian code for episodic memory.Science advances · 2025Article
- SENSH: a blockchain-based searchable encrypted data sharing scheme in smart healthcare.PeerJ. Computer science · 2025Article
- A Drosophila-inspired intelligent olfactory biomimetic sensing system for gas recognition in complex environments.Microsystems & nanoengineering · 2024Article
- Sensory encoding and memory in the mushroom body: signals, noise, and variability.Learning & memory (Cold Spring Harbor, N.Y.) · 2024Review
- Curiosity: primate neural circuits for novelty and information seeking.Nature reviews. Neuroscience · 2024Review
- Bloom filters for molecules.Journal of cheminformatics · 2023Article
- Distributed algorithms from arboreal ants for the shortest path problem.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- A neural theory for counting memories.Nature communications · 2022Article
- Mosquito Olfactory Response Ensemble enables pattern discovery by curating a behavioral and electrophysiological response database.iScience · 2022Article
- A feedback control principle common to several biological and engineered systems.Journal of the Royal Society, Interface · 2022Review
- What the odor is not: Estimation by elimination.Physical review. E · 2021Article
- Learning probabilistic neural representations with randomly connected circuits.Proceedings of the National Academy of Sciences of the United States of America · 2020Article
- Habituation as a neural algorithm for online odor discrimination.Proceedings of the National Academy of Sciences of the United States of America · 2020Article
- Neural Circuit Dynamics for Sensory Detection.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2020Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Novelty detection is a fundamental biological problem that organisms must solve to determine whether a given stimulus departs from those previously experienced. In computer science, this problem is solved efficiently using a data structure called a Bloom filter. We found that the fruit fly olfactory circuit evolved a variant of a Bloom filter to assess the novelty of odors. Compared with a traditional Bloom filter, the fly adjusts novelty responses based on two additional features: the similarity of an odor to previously experienced odors and the time elapsed since the odor was last experienced. We elaborate and validate a framework to predict novelty responses of fruit flies to given pairs of odors. We also translate insights from the fly circuit to develop a class of distance- and time-sensitive Bloom filters that outperform prior filters when evaluated on several biological and computational datasets. Overall, our work illuminates the algorithmic basis of an important neurobiological problem and offers strategies for novelty detection in computational systems.
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