Evidence map›Paper›PMID 19649155›Full record

ArticleHFSP journal2009

Throwing a glance at the neural code: rapid information transmission in the visual system.

Tim Gollisch

Abstract read
In one paragraph

Article in HFSP journal, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. On Synchronizing Coupled Retinogeniculocortical Pathways: A Toy Model.Computational intelligence and neuroscience · 2018
    Article
  4. Review
  5. Article
  6. Neurons with stereotyped and rapid responses provide a reference frame for relative temporal coding in primate auditory cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2012
    Article
  7. First spike latency code for interaural phase difference discrimination in the guinea pig inferior colliculus.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2011
    Article
  8. Coding "what" and "when" in the Archer fish retina.PLoS computational biology · 2010
    Article
  9. 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

1 author.

Tim GollischMax Planck Institute of Neurobiology, Visual Coding Group, Am Klopferspitz 18, 82152 Martinsried, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Our visual system can operate at fascinating speeds. Psychophysical experiments teach us that the processing of complex natural images and visual object recognition require a mere split second. Even in everyday life, our gaze seldom rests for long on any particular spot of the visual scene before a sudden movement of the eyes or the head shifts it to a new location. These observations challenge our understanding of how neurons in the visual system of the brain represent, process, and transmit the relevant visual information quickly enough. This article argues that the speed of visual processing provides an adjuvant framework for studying the neural code in the visual system. In the retina, which constitutes the first stage of visual processing, recent experiments have highlighted response features that allow for particularly rapid information transmission. This sets the stage for discussing some of the fundamental questions in the research of neural coding. How do downstream brain regions read out signals from the retina and combine them with intrinsic signals that accompany eye movements? And, how do the neural response features ultimately affect perception and behavior?

Identifiers

PMID19649155
PMCPMC2689612

What OpenQuestion holds

Textmetadata
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.