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THE VIDEO SHELF · bioelectricity and morphogenesis

Michael Levin: Anatomical decision-making by cellular collectives

Michael Levin presents his lab's work on how cellular collectives use bioelectric networks to make anatomical decisions. Topics include pattern memories, regeneration and synthetic living organisms.

Why HN readers recommended it

HN commenters push it as an example of Levin's talks, which they think deserve far more attention.

This is a summary from the source dataset, not an endorsement by Hacker News or the video creator.

Video & recommendation details

Creator / channel
Thomas Ouldridge
Topic
bioelectricity and morphogenesis
Format
lecture
Level
advanced
HN recommenders in dataset
3
HN mentions in dataset
5
Recommendation years in dataset
2021–2023

These counts and years describe the included Hacker News records; they are not YouTube views or the video’s publication date.

From the original HN conversations

Excerpts from the recorded comments. Follow each source for the full comment and surrounding discussion.

  • Moar people need to be talking about this guys work, a buddy clued me in to it last year. Creating new species without any genetic changes... it's huge. Not only has he discovered a new communication control channel in biology, machine learning is unlocking the …

    dosman33 on Hacker News · 2021-07
    In Mike Levin on using bioelectricity to study how cells form (2019)
  • In re: Michael Levin, do see his talks "What Bodies Think About: Bioelectric Computation Outside the Nervous System" [LINK] and "Anatomical decision-making by cellular collectives" [VIDEO]

    carapace on Hacker News · 2021-10
    In On The Origin Of Minds
  • I'm not nearly educated enough about this subject to try to summarise it, but the research being carried out by Michael Levin's group into how organisms control anatomy growth is completely fascinating and has the feel of a breakthrough. Almost all the talks I've seen …

    Spakman on Hacker News · 2022-08
    In Ask HN: What's the next big thing that few people are talking about?

Summaries, classifications and recommendation records are from the HackerTube source dataset. Read about this library and its limitations.