ArticleProceedings of the National Academy of Sciences of the United States of America2016
A statistical property of fly odor responses is conserved across odors.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed, 33 citations in OpenAlex.
- Recalibrating Olfactory Neuroscience to the Range of Naturally Occurring Odor Concentrations.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Review
- Effects of stochastic coding on olfactory discrimination in flies and mice.PLoS biology · 2023Article
- Honey bees infer source location from the dances of returning foragers.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Where are the cores in this thing? …and what are they computing? (with apologies to Larry Abbott).Journal of computational neuroscience · 2022Article
- A Correspondence Between Normalization Strategies in Artificial and Biological Neural Networks.Neural computation · 2021Article
- Functional diversity among sensory neurons from efficient coding principles.PLoS computational biology · 2019Article
- Front-end Weber-Fechner gain control enhances the fidelity of combinatorial odor coding.eLife · 2019Article
- Deconstructing Odorant Identity via Primacy in Dual Networks.Neural computation · 2019Article
- Structured Odorant Response Patterns across a Complete Olfactory Receptor Neuron Population.Neuron · 2019Article
- Antagonism in olfactory receptor neurons and its implications for the perception of odor mixtures.eLife · 2018Article
- Normalized Neural Representations of Complex Odors.PloS one · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
I have reanalyzed the data presented by Hallem and Carlson [Hallem EA, Carlson JR (2006) Cell 125(1):143-160] and shown that the combinatorial odor code supplied by the fruit fly antenna is a very simple one in which nearly all odors produce, statistically, the same neuronal response; i.e., the probability distribution of sensory neuron firing rates across the population of odorant sensory neurons is an exponential for nearly all odors and odor mixtures, with the mean rate dependent on the odor concentration. Between odors, then, the response differs according to which sensory neurons are firing at what individual rates and with what mean population rate, but not in the probability distribution of firing rates. This conclusion is independent of adjustable parameters, and holds both for monomolecular odors and complex mixtures. Because the circuitry in the antennal lobe constrains the mean firing rate to be the same for all odors and concentrations, the odor code is what is known as maximum entropy.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.