ArticleProceedings of the National Academy of Sciences of the United States of America2020
Habituation as a neural algorithm for online odor discrimination.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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10 citing papers in PubMed.
- How the olfactory bulb maintains stable odor manifolds amid adaptation and representational drift.bioRxiv : the preprint server for biology · 2026Article
- Manifold learning for olfactory habituation to strongly fluctuating backgrounds.bioRxiv : the preprint server for biology · 2025Article
- Learning about causal relations that change over time: primacy and recency over long timeframes in causal judgments and memory.Cognitive research: principles and implications · 2025Article
- Intermittent Vibration Induces Sleep via an Allatostatin A-GABA Signaling Pathway and Provides Broad Benefits in Alzheimer's Disease Models.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Distributed algorithms from arboreal ants for the shortest path problem.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Improving Network Training on Resource-Constrained Devices via Habituation Normalization.Sensors (Basel, Switzerland) · 2022Article
- AThe Journal of neuroscience : the official journal of the Society for Neuroscience · 2022Article
- Olfactory Sensing and Navigation in Turbulent Environments.Annual review of condensed matter physics · 2022Article
- Reply to Semelidou and Skoulakis: "Short-term" habituation has multiple distinct mechanisms.Proceedings of the National Academy of Sciences of the United States of America · 2020Article
- One size does not fit all inProceedings of the National Academy of Sciences of the United States of America · 2020Article
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3 authors.
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Abstract
Habituation is a form of simple memory that suppresses neural activity in response to repeated, neutral stimuli. This process is critical in helping organisms guide attention toward the most salient and novel features in the environment. Here, we follow known circuit mechanisms in the fruit fly olfactory system to derive a simple algorithm for habituation. We show, both empirically and analytically, that this algorithm is able to filter out redundant information, enhance discrimination between odors that share a similar background, and improve detection of novel components in odor mixtures. Overall, we propose an algorithmic perspective on the biological mechanism of habituation and use this perspective to understand how sensory physiology can affect odor perception. Our framework may also help toward understanding the effects of habituation in other more sophisticated neural systems.
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