Evidence map›Paper›PMID 42799802›Full record

ArticleBiological cybernetics2026

Elements of olfactory intelligence in Drosophila.

Aurel A Lazar, Yiyin Zhou

Abstract read
In one paragraph

Article in Biological cybernetics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Aurel A LazarDepartment of Electrical Engineering, Columbia University, 500 W 120th Street, New York, NY, 10027, USA. aurel@ee.columbia.edu.ORCID http://orcid.org/0000-0003-4261-8709
Yiyin ZhouDepartment of Computer and Information Science, Fordham University, 113 W 60th St, New York, NY, 10023, USA.ORCID http://orcid.org/0000-0003-4618-4039

Funding

National Science Foundation 2024607
6 · The paper itself

Abstract

The ability to make the world of odorants intelligible is a key capability of the Drosophila olfactory system that we shall call olfactory intelligence. Characterizing the functional logic of the Drosophila early olfactory system that makes the natural world of odorants intelligible is a major challenge in neuroscience. Starting by modeling the space of odorants using constructs of both semantic and syntactic information, we establish that the Antenna Lobe and Mushroom Body Calyx first decompose the confounding representation of the Antenna into a concentration independent odorant semantics information and the ON-OFF timing of the syntactic information. Subsequently the two streams of information are integrated and produce a novel time and rank-based representation of Kenyon Cell outputs, called the marked first spike sequence code. In conjunction with a novel distance measure for the spike sequence code, we demonstrate that the rank-based representation supports accurate classification of ON-OFF odorant semantics. Computationally, these elements of olfactory intelligence are realized by a class of differential divisive normalization processors modeling the feedback circuits in a causal chain of stages including the Antenna, Antennal Lobe and the Mushroom Body Calyx. Consequently, the early olfactory system makes the natural world of odorants intelligible.

Indexed as

DrosophilaModels, NeurologicalOlfactory PathwaysSmellAction PotentialsAnimalsMushroom BodiesOdorantsFunctional logic of the Drosophila early olfactory systemMarked first spike sequence codeOdorant concentration (syntax)Odorant identity (semantics)

Identifiers

PMID42799802
PMCPMC13616012

What OpenQuestion holds

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Registered trials

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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.