Memory molecules, Neural Computation & the ECM - Prof Ben Goult

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  • Опубліковано 1 лип 2024
  • In this video I speak with Ben Goult, Professor of Biochemistry at the University of Kent, where his lab researches the mechanical basis of memory and the role of the protein Talin as an information storing molecule. This, Ben refers to as the MeshCODE theory. We discuss this theory of memory and more in our discussion. Enjoy!
    Find Ben on Twitter: / bengoult & UA-cam:
    • MeshCODE to scale anim... Here they are.
    MeshCODE to Scale www.frontiersin.org/articles/...
    MeshCODE www.frontiersin.org/articles/...
    Ben's channel: / @bengoult1
    Find me on Twitter - / eleanorsheekey
    Support the channel
    through PayPal - paypal.me/sheekeyscience?coun...
    through Patreon - / thesheekeysci. .
    TIMESTAMPS:
    Intro - 00:00
    Mechanobiology - 1:00
    Talin - 4:00
    The mechanical basis of memory - 8:00
    Biomolecules as molecular memory storage - 22:00
    Testing the MeshCODE theory - 28:15
    Neural networks and energy input - 38:30
    Memory location & ethical issues - 43:00
    Extracellular Matrix & Aging - 48:00
    Protein shock absorbers - 55:00
    Advice - 59:15
    Please note that The Sheekey Science Show is distinct from Eleanor Sheekey's teaching and research roles at the University of Cambridge. The information provided in this show is not medical advice, nor should it be taken or applied as a replacement for medical advice. The Sheekey Science Show and guests assume no liability for the application of the information discussed.
    Icons in intro; "www.freepik.com/free-photos-v..."Background vector created by freepik - www.freepik.com
  • Наука та технологія

КОМЕНТАРІ • 21

  • @TheSheekeyScienceShow
    @TheSheekeyScienceShow  Рік тому +14

    we say ECM a lot of times in this video - if we didn't define it, we means "ExtraCellular Matrix" !

  • @andrewwalker8985
    @andrewwalker8985 Рік тому +4

    Wow. Your channel keeps exposing me to these incredible ideas. Your Dr Michael Levin interview led me down about 20 hours of mind blowing lectures… this interview is equally as amazing. In fact if you could arrange for the two of them to chat to each other I’ll grab the popcorn!

  • @bengoult1
    @bengoult1 Рік тому +8

    Thanks Eleanor! This was a really fun discussion. Keep up the excellent work!

  • @mpen7873
    @mpen7873 Рік тому +2

    Excellent interview. A well explained and fascinating brief look into a complex protein. Best of luck to your guest with his research and his contribution to science. 👍

  • @allurbase
    @allurbase Рік тому +1

    What's more, ML is based on the idea that neurons that fire together connect together. But apparently this would be a second affinity, after connecting them together we decide how much they should be connected. A discreet step followed by a continuous affinity process. Cool insight.

  • @jonduringer5848
    @jonduringer5848 Рік тому +1

    Fascinating, thanks for producing. Would it be helpful for a volunteer to proofread the transcripts of your shows?

  • @russelldicken9930
    @russelldicken9930 Рік тому +2

    I may be way off-base. . . . but here goes. I've been following Mike Levins work and it occurred to me that he's looking for a mechanism whereby as cells multiply, they need to know what the next cell is going to be, and when they should stop dividing. Thus if cells are to 'make a foot' they must pass on information on when to stop at the boundary. Something mechanism is needed to pass that information on. His group has identified ion channels as part of that path. I do wonder if Talin may be involved in the cells passing that information on? I have some knowledge of AI and it seems unlikely that a Talin molecule would be used to hold weights.

  • @IlmiMulhid
    @IlmiMulhid Рік тому +1

    Wow, coincidence... This week i studied about ECM in my coursework and you uploaded this 😅

  • @CAMIDRCS
    @CAMIDRCS Рік тому +1

    I have been 🤔 thinking about this alot!?!!!

  • @allurbase
    @allurbase Рік тому +2

    This is indeed quite similar to a neural network that have affinity between neurons, but then they were based in how they supposed the brain worked. So it's one value per synapse? That's 1 trillion? GPT 3 has 175 billion parameters, so not that far out.

  • @BartdeBoisblanc
    @BartdeBoisblanc Рік тому +1

    40:00 mm Perhaps these work like digital circuits in telecommunications where the information is compressed encoded and uncompressed and decoded.

  • @CAMIDRCS
    @CAMIDRCS Рік тому +1

    How do we extract the data from the brian and upload it to a computer!? That should be the real question we need that!!!😏

  • @mikeguetta5606
    @mikeguetta5606 Рік тому +1

    If this is correct, it's huge, like, on the order of Watson and Crick.

  • @abdelilahbenahmed4350
    @abdelilahbenahmed4350 Рік тому +1

    Thx for this interesting video. What interventions could delay stiffness of ECM ?

    • @bengoult1
      @bengoult1 Рік тому +1

      Hi Abdelilah, good question, treatments that reduce ECM stiffness are being used successfully in cancer therapies (i.e. LOX inhibitors which reduce collagen crosslinking) so perhaps similar strategies might one day be possible for other types of ECM.

    • @abdelilahbenahmed4350
      @abdelilahbenahmed4350 Рік тому

      @@bengoult1 thx for your kind answer. Could certain natural interventions like enzymes or monitoring of A1C and insulin through relatively safe geroprotective molecules like
      metformin have also some benefit in delaying stiffness of ECM?

  • @williamwalker6071
    @williamwalker6071 Рік тому +2

    So yet another reason to worry about glycation of proteins?

  • @TheXPlayer_TWC
    @TheXPlayer_TWC Рік тому +1

  • @charlypetra191
    @charlypetra191 Рік тому +1

    Elon Musk is waiting with his Neural Implant !!