Evidence map›Paper›PMID 31403676›Full record

ArticleCerebral cortex (New York, N.Y. : 1991)2020

A Sparse Probabilistic Code Underlies the Limits of Behavioral Discrimination.

Balaji Sriram, Lillian Li, Alberto Cruz-Martín, Anirvan Ghosh

Open access · hybridAbstract read
In one paragraph

Article in Cerebral cortex (New York, N.Y. : 1991), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 28% of its field
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

3 citing papers in PubMed, 9 citations in OpenAlex.

  1. Information transfer and recovery for the sense of touch.Cerebral cortex (New York, N.Y. : 1991) · 2025
    Article
  2. Article
  3. Article
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

4 authors at 3 institutions in 2 countries.

Balaji SriramDivision of Biology, University of California San Diego, La Jolla, CA 92093, USA.
Lillian LiDivision of Biology, University of California San Diego, La Jolla, CA 92093, USA.
Alberto Cruz-MartínDepartment of Biology.
Anirvan GhoshDivision of Biology, University of California San Diego, La Jolla, CA 92093, USA.
University of California, San Diego · USBiogen (United States) · USNeurophotonics Laboratory · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The cortical code that underlies perception must enable subjects to perceive the world at time scales relevant for behavior. We find that mice can integrate visual stimuli very quickly (<100 ms) to reach plateau performance in an orientation discrimination task. To define features of cortical activity that underlie performance at these time scales, we measured single-unit responses in the mouse visual cortex at time scales relevant to this task. In contrast to high-contrast stimuli of longer duration, which elicit reliable activity in individual neurons, stimuli at the threshold of perception elicit extremely sparse and unreliable responses in the primary visual cortex such that the activity of individual neurons does not reliably report orientation. Integrating information across neurons, however, quickly improves performance. Using a linear decoding model, we estimate that integrating information over 50-100 neurons is sufficient to account for behavioral performance. Thus, at the limits of visual perception, the visual system integrates information encoded in the probabilistic firing of unreliable single units to generate reliable behavior.

Indexed as

AnimalsDiscrimination, PsychologicalFemaleMaleMiceNeuronsPhotic StimulationPsychometricsVisual CortexVisual Perception2AFCelectrophysiologymouse behaviororientation discriminationpopulation coding

Identifiers

PMID31403676
PMCPMC7132908
OpenAlexW2967967348

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.