Evidence map›Paper›PMID 32554567›Full record

ArticleScience (New York, N.Y.)2020

Manipulating synthetic optogenetic odors reveals the coding logic of olfactory perception.

Edmund Chong, Monica Moroni, Christopher Wilson, Shy Shoham, Stefano Panzeri, Dmitry Rinberg

Abstract read
In one paragraph

Article in Science (New York, N.Y.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 86 papers.

0numbers the graph read from it
0cells of the map it votes in
86citing 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

86 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Temporal sequence geometry enables odor recognition and generalization.bioRxiv : the preprint server for biology · 2026
    Article
  12. Review
  13. Article
  14. Order code in the olfactory system.bioRxiv : the preprint server for biology · 2025
    Article
  15. Simultaneous detection and estimation in olfactory sensing.bioRxiv : the preprint server for biology · 2025
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

26 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Edmund ChongNeuroscience Institute, NYU Langone Health, New York, NY 10016, USA. rinberg@nyu.edu.ORCID 0000-0003-1762-6854
Monica MoroniNeural Computation Laboratory, Istituto Italiano di Tecnologia, 38068 Rovereto, Italy. rinberg@nyu.edu.ORCID 0000-0003-1852-7217
Christopher WilsonNeuroscience Institute, NYU Langone Health, New York, NY 10016, USA.
Shy ShohamNeuroscience Institute, NYU Langone Health, New York, NY 10016, USA.
Stefano PanzeriNeural Computation Laboratory, Istituto Italiano di Tecnologia, 38068 Rovereto, Italy.ORCID 0000-0003-1700-8909
Dmitry RinbergNeuroscience Institute, NYU Langone Health, New York, NY 10016, USA. rinberg@nyu.edu.ORCID 0000-0003-4888-9745

Funding

Readout and control of spatiotemporal neuronal codes for behaviorU19NS107464 · NINDS · UNIVERSITY OF CHICAGO · PI BABADI, BEHTASH, CHIALVO, DANTE R · 2018 to 2022
$17.3M
BIOMEDICAL ENGINEERING TRAINING PROGRAMT32GM007057 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI KANOLD, PATRICK O, KARCHIN, RACHEL · 1985 to 2023
$10.4M
Mapping of spatiotemporal code features to neural and perceptual spacesR01NS109961 · NINDS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI PANZERI, STEFANO VT, RINBERG, DMITRY · 2018 to 2022
$2.4M
NIGMS NIH HHS T32 GM007057NINDS NIH HHS R01 NS109961NINDS NIH HHS U19 NS107464
6 · The paper itself

Abstract

How does neural activity generate perception? Finding the combinations of spatial or temporal activity features (such as neuron identity or latency) that are consequential for perception remains challenging. We trained mice to recognize synthetic odors constructed from parametrically defined patterns of optogenetic activation, then measured perceptual changes during extensive and controlled perturbations across spatiotemporal dimensions. We modeled recognition as the matching of patterns to learned templates. The templates that best predicted recognition were sequences of spatially identified units, ordered by latencies relative to each other (with minimal effects of sniff). Within templates, individual units contributed additively, with larger contributions from earlier-activated units. Our synthetic approach reveals the fundamental logic of the olfactory code and provides a general framework for testing links between sensory activity and perception.

Indexed as

Models, NeurologicalOdorantsAnimalsBacterial ProteinsChannelrhodopsinsLuminescent ProteinsMiceOlfactory BulbOlfactory Marker ProteinOlfactory PerceptionOptogeneticsSmellSpatio-Temporal AnalysisBacterial ProteinsChannelrhodopsinsLuminescent ProteinsOlfactory Marker Proteinyellow fluorescent protein, Bacteria

Identifiers

PMID32554567
PMCPMC8237706

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.