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THE VIDEO SHELF · bioelectricity and regeneration

Matter to Mind:Bioelectricity, Body Intelligence, Future of Regenerative Medicine- Dr. Michael Levin

Developmental and synthetic biologist Michael Levin speaks at a Harvard Extension student event on bioelectricity, body intelligence and regenerative medicine. He discusses how cell electrical networks guide growth and form.

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Why HN readers recommended it

Recommended as an approachable look at Levin's work on regrowth and collective cellular intelligence, and used as an example of intelligence beyond brains.

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

Video & recommendation details

Creator / channel
Harvard Extension Student Psychological Club
Topic
bioelectricity and regeneration
Format
talk
Level
general
HN recommenders in dataset
2
HN mentions in dataset
4
Recommendation years in dataset
2023–2024

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.

  • Whenever morphogenesis comes up, especially with the usual "work from DNA and proteins up" approach, I feel obliged to mention Michael Levin. He also researches morphogenesis, except his approach is on a higher abstraction level. He manipulates the electrical network that cells use to communicate …

    grishka on Hacker News · 2023-07
    In An ultra-sensitive on-off switch helps axolotls regrow limbs

  • The article makes no mention of Michael Levin [1], one of the main researchers/labs, around bioelectricity/xenobots. A recent talk of his [2]. Secondly, bioelectricity has nothing or very little to do with electric currents as the one from the socket. There is no "brain zapping" …

    ly3xqhl8g9 on Hacker News · 2023-06
    In Q&A: How DARPA hacked a science writer’s brain andturned her into a sharpshooter

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

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