Evidence map›Paper›PMID 32841590›Full record

ArticleNeuron2020

Precise Holographic Manipulation of Olfactory Circuits Reveals Coding Features Determining Perceptual Detection.

Jonathan V Gill, Gilad M Lerman, Hetince Zhao, Benjamin J Stetler, Dmitry Rinberg, Shy Shoham

Abstract read
In one paragraph

Article in Neuron, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers.

0numbers the graph read from it
0cells of the map it votes in
65citing 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

65 citing papers in PubMed.

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

5 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.

Jonathan V GillNeuroscience Institute, New York University Langone Health, New York, NY 10016, USA; Center for Neural Science, New York University, New York, NY 10003, USA.
Gilad M LermanNeuroscience Institute, New York University Langone Health, New York, NY 10016, USA.
Hetince ZhaoNeuroscience Institute, New York University Langone Health, New York, NY 10016, USA; Tech4Health Institute, New York University Langone Health, New York, NY 10016, USA.
Benjamin J StetlerNeuroscience Institute, New York University Langone Health, New York, NY 10016, USA; Tech4Health Institute, New York University Langone Health, New York, NY 10016, USA.
Dmitry RinbergNeuroscience Institute, New York University Langone Health, New York, NY 10016, USA; Center for Neural Science, New York University, New York, NY 10003, USA; Department of Physics, New York University, New York, NY 10003, USA. Electronic address: rinberg@nyu.edu.
Shy ShohamNeuroscience Institute, New York University Langone Health, New York, NY 10016, USA; Tech4Health Institute, New York University Langone Health, New York, NY 10016, USA; Department of Ophthalmology, New York University Langone Health, New York, NY 10016, USA. Electronic address: shoham@nyu.edu.

Funding

Readout and control of spatiotemporal neuronal codes for behaviorU19NS107464 · NINDS · UNIVERSITY OF CHICAGO · PI SHOHAM, SHY · 2018 to 2022
$17.3M
BIOMEDICAL ENGINEERING TRAINING PROGRAMT32GM007057 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI KANOLD, PATRICK O, KARCHIN, RACHEL · 1985 to 2023
$10.4M
Behavioral readout of spatiotemporal codes dissected by holographic optogeneticsU01NS090498 · NINDS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI RINBERG, DMITRY, SHOHAM, SHY · 2014 to 2016
$2.1M
Training a new generation of computational neuroscientists bridging neurobiology and cognitionT90DA043219 · NIDA · NEW YORK UNIVERSITY · PI MA, WEI JI, WANG, XIAO-JING · 2016 to 2020
$615k
NIDA NIH HHS T90 DA043219NIGMS NIH HHS T32 GM007057NINDS NIH HHS U01 NS090498NINDS NIH HHS U19 NS107464
6 · The paper itself

Abstract

Sensory systems transform the external world into time-varying spike trains. What features of spiking activity are used to guide behavior? In the mouse olfactory bulb, inhalation of different odors leads to changes in the set of neurons activated, as well as when neurons are activated relative to each other (synchrony) and the onset of inhalation (latency). To explore the relevance of each mode of information transmission, we probed the sensitivity of mice to perturbations across each stimulus dimension (i.e., rate, synchrony, and latency) using holographic two-photon optogenetic stimulation of olfactory bulb neurons with cellular and single-action-potential resolution. We found that mice can detect single action potentials evoked synchronously across <20 olfactory bulb neurons. Further, we discovered that detection depends strongly on the synchrony of activation across neurons, but not the latency relative to inhalation.

Indexed as

Action PotentialsAnimalsFemaleHolographyMaleMice, Inbred C57BLNeuronsOdorantsOlfactory BulbOlfactory PerceptionOptical ImagingOptogeneticsSensory ThresholdsSmellholographyimagingolfactionolfactory bulboptogeneticsperceptual thresholdphotostimulationsynchronytwo-photon

Identifiers

PMID32841590
PMCPMC8289117

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.