Evidence map›Paper›PMID 21855320›Full record

ReviewCurrent opinion in neurobiology2011

Specificity and randomness: structure-function relationships in neural circuits.

Wei-Chung Allen Lee, R Clay Reid

Abstract readReview
In one paragraph

Review in Current opinion in neurobiology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Sensory processing reformats odor coding around valence and dynamics.bioRxiv : the preprint server for biology · 2025
    Article
  3. Article
  4. Article
  5. Nonselective Wiring Accounts for Red-Green Opponency in Midget Ganglion Cells of the Primate Retina.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2018
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
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.

Wei-Chung Allen LeeDepartment of Neurobiology, Harvard Medical School, Boston, MA 02115, USA. wei-chung_lee@hms.harvard.edu
R Clay Reid

Funding

Functional micro-architecture of the visual cortexR01EY010115 · NEI · ROCKEFELLER UNIVERSITY · PI REID, R CLAY · 1993 to 2023
$8.9M
Neuronal ensembles in the rodent visual cortexR01EY018742 · NEI · HARVARD MEDICAL SCHOOL · PI REID, R CLAY · 2008 to 2015
$3.1M
The functional role of interneuron classes in the mouse visual cortexF32EY018532 · NEI · HARVARD MEDICAL SCHOOL · PI LEE, WEI-CHUNG ALLEN · 2008 to 2010
$155k
NEI NIH HHS EY10115NEI NIH HHS EY18532NEI NIH HHS EY18742NEI NIH HHS F32 EY018532NEI NIH HHS R01 EY010115NEI NIH HHS R01 EY018742
6 · The paper itself

Abstract

A fundamental but unsolved problem in neuroscience is how connections between neurons might underlie information processing in central circuits. Building wiring diagrams of neural networks may accelerate our understanding of how they compute. But even if we had wiring diagrams, it is critical to know what neurons in a circuit are doing: their physiology. In both the retina and cerebral cortex, a great deal is known about topographic specificity, such as lamination and cell-type specificity of connections. Little, however, is known about connections as they relate to function. Here, we review how advances in functional imaging and electron microscopy have recently allowed the examination of relationships between sensory physiology and synaptic connections in cortical and retinal circuits.

Indexed as

Neural Networks, ComputerAnimalsCerebral CortexHumansNerve NetNeural PathwaysNeuronsRetinaSynapses

Identifiers

PMID21855320
PMCPMC3223317

What OpenQuestion holds

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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.