Evidence map›Paper›PMID 28012992›Full record

ReviewCurrent opinion in neurobiology2017

Fifty shades of inhibition.

Arianna Maffei

Abstract readReview
In one paragraph

Review in Current opinion in neurobiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Target Site of Prepulse Inhibition of the Trigeminal Blink Reflex in Humans.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023
    Article
  3. Article
  4. Review
  5. Complementary Inhibitory Weight Profiles Emerge from Plasticity and Allow Flexible Switching of Receptive Fields.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2020
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. 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

1 author.

Arianna MaffeiDept of Neurobiology and Behavior, SUNY-Stony Brook, Stony Brook, NY 11794, United States. Electronic address: Arianna.maffei@stonybrook.edu.

Funding

Synaptic organization and plasticity of the input from the basolateral amygdala tR01DC013770 · NIDCD · STATE UNIVERSITY NEW YORK STONY BROOK · PI Alfredo Fontanini, Arianna Maffei · 2014 to 2026
$4.6M
Laminar differences in taste coding: a circuit perspectiveR01DC015234 · NIDCD · STATE UNIVERSITY NEW YORK STONY BROOK · PI FONTANINI, ALFREDO, MAFFEI, ARIANNA · 2016 to 2020
$2.0M
Inhibitory plasticity in visual cortical circuitsR01EY019885 · NEI · STATE UNIVERSITY NEW YORK STONY BROOK · PI MAFFEI, ARIANNA · 2010 to 2013
$1.4M
NEI NIH HHS R01 EY019885NIDCD NIH HHS R01 DC013770NIDCD NIH HHS R01 DC015234
6 · The paper itself

Abstract

Inhibitory circuits are essential for brain function. Our understanding of their synaptic organization has advanced extensively with the identification and classification of an impressive variety of neuron groups, receptor types, and patterns of connectivity. However, the conceptual discussion regarding the role of in neural circuits still revolves around the idea that its primary role is to regulate circuit excitability. Here, I will focus on recent findings from cortical circuits and argue that inhibitory circuits are central to the integration of incoming inputs and can promote sophisticated fine-scale control of local circuits. I propose that inhibitory circuits should not be viewed so much as brakes on principal neurons activity, but as primary contributors to a variety of neural network functions.

Indexed as

AnimalsHumansNerve NetNeural InhibitionNeurons

Identifiers

PMID28012992
PMCPMC5447504

What OpenQuestion holds

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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.