Evidence map›Paper›PMID 42317582›Full record

ArticleFrontiers in cellular neuroscience2026

Early life shifts in cortical inhibitory-excitatory balance underlies sensitive periods and skill development.

Dekel Taliaz

Abstract read
In one paragraph

Article in Frontiers in cellular neuroscience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Dekel TaliazTaliaz, Petah Tikva, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Early human development is characterized by sensitive periods which impact long-term cognitive and behavioral outcomes. While these windows of heightened plasticity are well documented, the cellular mechanisms that enable and regulate them remain incompletely understood. In this conceptual article, I propose that early-life shifts in cortical inhibitory-excitatory balance, driven by prolonged neurogenesis, migration, and maturation of GABAergic interneurons, play a central role in opening, shaping, and closing sensitive periods and thereby guide skill development. Drawing on evidence from human and animal studies, I synthesize findings showing that inhibitory interneurons are integrated into cortical circuits well into postnatal life, where they regulate intrinsic and sensory-driven activity, sculpt synaptic connectivity, coordinate interactions with glial cells, and progressively refine network dynamics. The developmental strengthening of inhibition alters excitation-inhibition ratios, drives the transition from highly synchronous early activity to decorrelated and efficient adult-like firing patterns, and gates critical period plasticity across cortical regions. I argue that these inhibitory processes are not merely stabilizing but actively facilitate learning by suppressing non-relevant activity and enabling the emergence of specialized functional networks. This framework highlights fundamental differences between infant and adult learning mechanisms and suggests that individual variability in inhibitory circuit development may underlie differences in cognitive trajectories and vulnerability to neurodevelopmental disorders. Together, this synthesis positions early inhibitory interneuron development as a key mechanistic substrate linking sensitive periods to lifelong skill acquisition and behavioral individuality.

Indexed as

cortical plasticityearly brain developmentexcitation inhibition balanceGABAergic signalinginhibitory interneuronsneurogenesissensitive periodsskill learning

Identifiers

PMID42317582
PMCPMC13271966

What OpenQuestion holds

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Registered trials

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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.