Evidence map›Paper›PMID 28515285›Full record

ArticleJournal of neurophysiology2017

Cortical amplification models of experience-dependent development of selective columns and response sparsification.

Ian K Christie, Paul Miller, Stephen D Van Hooser

Open access · bronzeAbstract read
In one paragraph

Article in Journal of neurophysiology, 2017. 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
1.1field-weighted citation impact, top 25% 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

9 citing papers in PubMed, 12 citations in OpenAlex.

  1. Millimeter-scale selective amplification in the developing visual cortex.bioRxiv : the preprint server for biology · 2026
    Article
  2. Principles of cortical interactions in modular recurrent networks.bioRxiv : the preprint server for biology · 2026
    Article
  3. Article
  4. Inhibitory stabilization and cortical computation.Nature reviews. Neuroscience · 2021
    Review
  5. Review
  6. Article
  7. Article
  8. Review
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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

3 authors at 1 institution in 1 country.

Ian K ChristieDepartment of Biology, Brandeis University, Waltham, Massachusetts.
Paul MillerDepartment of Biology, Brandeis University, Waltham, Massachusetts.
Stephen D Van HooserDepartment of Biology, Brandeis University, Waltham, Massachusetts; vanhooser@brandeis.edu.ORCID 0000-0002-1112-5832
Brandeis University · US

Funding

Undergraduate and Graduate Training in Computational Neuroscience R90DA033463 · NIDA · BRANDEIS UNIVERSITY · PI MILLER, PAUL · 2011 to 2020
$2.0M
NIDA NIH HHS R90 DA033463
6 · The paper itself

Abstract

The development of direction-selective cortical columns requires visual experience, but the neural circuits and plasticity mechanisms that are responsible for this developmental transition are unknown. To gain insight into the mechanisms that could underlie experience-dependent increases in selectivity, we explored families of cortical amplifier models that enhance weakly biased feedforward signals. Here we focused exclusively on possible contributions of cortico-cortical connections and took feedforward input to be constant. We modeled pairs of interconnected columns that received equal and oppositely biased inputs. In a single-element model of cortical columns, we found two ways that cortical columns could receive biased feedforward input and exhibit strong but unselective responses to stimuli:

Indexed as

Feedback, PhysiologicalModels, NeurologicalAnimalsCerebral CortexComputer SimulationLearningNeural PathwaysNeuronal PlasticityVisual Perceptionarea 17motionrecurrent connectionsstriate cortexthalamocortical input

Identifiers

PMID28515285
PMCPMC5539461
OpenAlexW2615571038

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.