PubHawk
March 2013 PMID 23273272

A cellular mechanism for cortical associations: an organizing principle for the cerebral cortex.

Matthew Larkum

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Mentions

14
Peak: 3 in Jan 2021
across 3 sources since Dec 2020

Extended reach

13,545
potential audience

Total likes

71

Video views

1,940

Mentions per month

Dec 2020 – Nov 2025

Where it's discussed

  • X / Twitter9 posts
  • Blogs3 articles
  • YouTube2 videos

AI synopsis

What people are saying

Overall, the group shows strong interest and moderate agreement with the article, illustrated by comments about sharing talks, recommending related studies, and referencing hypotheses on dendrites; phrases like 'highly recommend' and 'hope it makes the paper more approachable' reveal excitement and engagement, contributing to the perception of moderate impact within the scientific community.

AgreementModerate agreement

The discussions generally align with the significance of the proposed cellular mechanisms, with references to related works and hypotheses supporting the article's ideas.

InterestHigh interest

Participants show high enthusiasm and curiosity, as evidenced by mentions of sharing talks, reading related papers, and discussing specific aspects like dendrite hypotheses.

EngagementModerate engagement

Posts demonstrate moderate engagement through sharing insights, highlighting related discussions, and encouraging further reading, but lack deep technical analysis.

ImpactModerate impact

The discussions suggest the publication influences ongoing research and thinking, especially in niche areas like dendrite involvement in learning, indicating a moderate impact.

Abstract in brief

  • The article proposes that the brain's ability to associate different parts of our experience and predict the future stems from a cellular mechanism involving pyramidal neurons, which are the basic units of the cortex.
  • This mechanism works when input simultaneously activates opposite poles of a neuron, matching the cortex's detailed structure and being regulated by local inhibitory neurons that control specific parts of the neuron.
  • The paper discusses experimental findings supporting this idea and considers what this means for understanding how the cerebral cortex functions in intelligent behavior.]
Read the full abstract

Top posts

Most liked on X and Bluesky
Jiyun Shin
@jshin92 · X

Highly recommend to also read @mattlark's previous opinion paper. https://t.co/OIAE05ZMCm

Oct 29, 2021 · 15 likes · 491 followers View post →
Matthew Larkum
@mattlark · X

Later, however, learning new "on-the-fly" associations involve specifically adjusting contextual input. And this explains why it should predominantly involve layer 1 because this is where we think contextual input arrives. https://t.co/ENIZEqXa9B

Jan 4, 2021 · 5 likes · 2 shares · 3,008 followers View post →
Jiyun Shin
@jshin92 · X

@jaaanaru @mattlark And this paper to learn about his dendrite hypothesis in general. https://t.co/btngrIFPLo

Dec 17, 2020 · 3 likes · 491 followers View post →
Anthony Hannan
@anthonyjhannan · X

RT @mattlark: Later, however, learning new "on-the-fly" associations involve specifically adjusting contextual input. And this explains why…

Jan 5, 2021 · 2 shares · 4,566 followers View post →
Maria Zamfir, PhD
@MariaZamfirPhD · X

https://t.co/keXuLVgFUN

Oct 18, 2021 · 1,503 followers View post →
Elizabeth Clark Polner Hudson
@ClarkPolner · X

RT @mattlark: Later, however, learning new "on-the-fly" associations involve specifically adjusting contextual input. And this explains why…

Jan 4, 2021 · 2 shares · 1,186 followers View post →

All mentions

RESONANT FEEDBACK
@adventurer16652 · X

@Tyfoods4Thought @taherehtoosi 'A cellular mechanism for cortical associations: an organizing principle for the cerebral cortex' https://t.co/ctMkQV1XfD

Nov 9, 2025 · 3 followers View post →
RESONANT FEEDBACK
@adventurer16652 · X

@Tyfoods4Thought @taherehtoosi 'A cellular mechanism for cortical associations: an organizing principle for the cerebral cortex' https://t.co/ctMkQV1XfD

Nov 9, 2025 · 3 followers View post →
Pantelis Vafidis
@vafidisp · X

Late to the party, but happy to share my @neuromatch flash talk presenting this work on learning accurate path integration with segregated dendrites! Hope it makes the paper more approachable! https://t.co/G6JusGwApn https://t.co/XcD1mRqvB9

Dec 10, 2021 · 344 followers View post →
Jiyun Shin
@jshin92 · X

Highly recommend to also read @mattlark's previous opinion paper. https://t.co/OIAE05ZMCm

Oct 29, 2021 · 15 likes · 491 followers View post →
Maria Zamfir, PhD
@MariaZamfirPhD · X

https://t.co/keXuLVgFUN

Oct 18, 2021 · 1,503 followers View post →
Anthony Hannan
@anthonyjhannan · X

RT @mattlark: Later, however, learning new "on-the-fly" associations involve specifically adjusting contextual input. And this explains why…

Jan 5, 2021 · 2 shares · 4,566 followers View post →
Elizabeth Clark Polner Hudson
@ClarkPolner · X

RT @mattlark: Later, however, learning new "on-the-fly" associations involve specifically adjusting contextual input. And this explains why…

Jan 4, 2021 · 2 shares · 1,186 followers View post →
Matthew Larkum
@mattlark · X

Later, however, learning new "on-the-fly" associations involve specifically adjusting contextual input. And this explains why it should predominantly involve layer 1 because this is where we think contextual input arrives. https://t.co/ENIZEqXa9B

Jan 4, 2021 · 5 likes · 2 shares · 3,008 followers View post →
Jiyun Shin
@jshin92 · X

@jaaanaru @mattlark And this paper to learn about his dendrite hypothesis in general. https://t.co/btngrIFPLo

Dec 17, 2020 · 3 likes · 491 followers View post →