February 2016 PMID 26806627

The right time to learn: mechanisms and optimization of spaced learning.

Paul Smolen, Yili Zhang, John H Byrne

Mentions

19
Peak: 2 in Nov 2019
across 4 sources since Nov 2019

Extended reach

321,932
potential audience

Total likes

14,593

Video views

292,206

Mentions per month

Nov 2019 – Nov 2025

Where it's discussed

  • Facebook9 posts
  • News5 articles
  • X / Twitter3 posts
  • YouTube2 videos

AI synopsis

What people are saying

The collective discussions highlight the article’s focus on cellular mechanisms behind spaced learning, mentioning spine remodelling and molecular hypotheses, which suggest genuine scientific curiosity. The tone includes references to hypotheses and research studies, emphasizing an analytical tone that conveys both interest and respect for the scientific depth of the publication.

AgreementModerate agreement

Most posts show support or neutral acknowledgment of the article, especially noting the scientific explanations involving spine remodelling and cellular mechanisms.

InterestHigh interest

Discussion demonstrates high interest, with references to hypotheses and molecular insights that appeal to those curious about learning science.

EngagementModerate engagement

Posts reflect moderate engagement by mentioning specific theories like spine remodelling and scientific sources, indicating some depth.

ImpactModerate impact

Readers seem to recognize the relevance of the research, though it appears more informational than transformative at this stage.

Abstract in brief

  • Spaced learning, which uses long intervals between training sessions, generally results in stronger memory formation compared to massed learning with short or no intervals.
  • Recent research has started to identify the cellular and molecular mechanisms behind why spaced training is more effective, moving beyond just cognitive theories.
  • Computational models and pharmacotherapy are being used to predict and improve optimal spaced training protocols, potentially helping to recover impaired learning and synaptic plasticity.

Top posts

Most liked on X and Bluesky
Bryan Bishop
@kanzure · X

@zetalyrae "The right time to learn: mechanisms and optimization of spaced learning" https://t.co/VhrDtwdN4X "Two hypotheses that involve spine remodelling have been put forward to explain the greater efficacy of spaced trials over massed trials in memory formation. These hypotheses have a

Nov 16, 2025 · 1 like · 15,776 followers View post →
tomstafford@mastodon.online
@tomstafford · X

The right time to learn: mechanisms and optimization of spaced learning https://t.co/H0x2nleo4b (Smolen et al, 2016 in NatNeuro)

Nov 13, 2019 · 1 like · 1 share · 11,610 followers View post →

All mentions

Bryan Bishop
@kanzure · X

@zetalyrae "The right time to learn: mechanisms and optimization of spaced learning" https://t.co/VhrDtwdN4X "Two hypotheses that involve spine remodelling have been put forward to explain the greater efficacy of spaced trials over massed trials in memory formation. These hypotheses have a

Nov 16, 2025 · 1 like · 15,776 followers View post →
Susan Rvachew
@ProfRvach · X

RT @tomstafford: The right time to learn: mechanisms and optimization of spaced learning https://t.co/H0x2nleo4b (Smolen et al, 2016 in Nat…

Nov 13, 2019 · 1 share · 2,336 followers View post →
tomstafford@mastodon.online
@tomstafford · X

The right time to learn: mechanisms and optimization of spaced learning https://t.co/H0x2nleo4b (Smolen et al, 2016 in NatNeuro)

Nov 13, 2019 · 1 like · 1 share · 11,610 followers View post →