Intelligence and the Brain: Recent Advances in Understanding How the Brain Works with Jeff Hawkins

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  • Опубликовано: 14 ноя 2012
  • (Visit: www.uctv.tv/) How the brain creates intelligence is viewed by many as the greatest scientific quest of all time. We are living at the time when rapid progress is being made and a comprehensive theory of brain function is emerging. Jeff Hawkins, an inventor, engineer, neuroscientist, author and entrepreneur, presents the big picture of what we know so far and describes recent progress in a core issue: why neurons are arranged as they are in the neocortex, how this arrangement builds models of the world, and how these models make predictions and generate actions. Series: "UC Berkeley Graduate Council Lectures" [12/2012] [Science] [Show ID: 24411]

Комментарии • 31

  • @IanAtkinson555
    @IanAtkinson555 10 лет назад +14

    In the far future, I'm pretty sure that Jeff Hawkins is going to be right up there among the fathers of general AI.

    • @vinm300
      @vinm300 4 года назад

      Well said.
      I've watched this lecture at least 3 times over the last 8yrs.
      Jeff Hawkins is the tops. Also, a very good lecturer : one's attention
      is constantly engaged by him.

  • @williamjayaraj2244
    @williamjayaraj2244 5 лет назад

    Excellent study on the brain by Jeff Hawkins and his team. For a lay man it is an astonishing presentation. Best wishes for the future work.

  • @aamericuslakota
    @aamericuslakota 11 лет назад +1

    The ramifications of the brain working like this are amazing. He made mention of the consolidation of memory during sleep. Is it possible that this suggests all new sequences/growth (and connectivity) during the day is perhaps contrasted against all the stable/older/stronger sequences during sleep, with the most predominant changes lasting, and the weaker ones degenerating? I assume this could be tested, and would explain the effects of REM sleep. It would almost be like defragging a computer.

  • @RedNNet
    @RedNNet 10 лет назад +1

    Neurons can be sensitive to 2 very different things though, I think. It's the overall meaning of a neuron group that classifies something. The brain learns about its own limited world, but has the ability to learn anything it experiences.

  • @dhinadhina3728
    @dhinadhina3728 8 лет назад

    Nice one

  • @lukmackul
    @lukmackul 11 лет назад +1

    37:00 to jump to the model

  • @bigsngigs2008
    @bigsngigs2008 3 года назад

    Loved there talks ans finding..gwt the feeling I am not alone..🙄

  • @trdi
    @trdi 6 лет назад +5

    I'll let you know when it starts. First ten minutes still nothing.

    • @trdi
      @trdi 6 лет назад +1

      Probably fine from 11:00.

  • @richardadams24
    @richardadams24 11 лет назад +2

    The first 10 minutes I am engaged, the following 20 I am met with eureka feelings. Then I get lost... ::)

  • @preethasuresh5253
    @preethasuresh5253 6 лет назад

    Wow. I'm impressed. Is there any dedicated hardware for htm?

  • @tosvarsan5727
    @tosvarsan5727 3 года назад

    I feel that the sparse representation concept could work nicely with quantum computing. Maybe one day the two things will join together

  • @zulfukarialiarslan5029
    @zulfukarialiarslan5029 11 лет назад

    Guzel

  • @alfonsovieyra9321
    @alfonsovieyra9321 6 лет назад

    Curious to know, but has Jeff ever thought that DNA might itself act as the fundamental programmer to help invoke the models of the external world (besides the data transmitted from that very environment)? I ask, because he makes a distinction between bits that have no meaning and are therefore assigned meaning in a computer (by a programmer) as opposed to "generated" by the patterns and information taken in by the brain (through sensory inputs such as sight). For example, we might see the colors we see in part by DNA encoded software such that besides the pattern recognition the brain extrapolates from seeing the color "red" we identify it as red because DNA infers it as such as well. In which case, could it be argued that people are therefore fundamentally programmed and do not necessarily generate pattern recognition from external measure but are also in hindsight direct by DNA (primal measures)?

  • @libertarianjury
    @libertarianjury 11 лет назад

    What Jeff Hawkins talks about is "institutional lock-in" and it's the reason why statism retards scientific progress. Thankfully, we now have open schooling and MOOCs. Hawkins is awesome.

  • @lark5000
    @lark5000 11 лет назад

    This guy reminds me of Harry Anderson from Night Court

  • @libertarianjury
    @libertarianjury 11 лет назад

    The "Transcript" feature on youtube needs Grok (or SmartAction TM )!!!!! It utterly fails at transcribing Hawkins.

  • @libertarianjury
    @libertarianjury 10 лет назад

    Aaaargh! Why doesn't everyone enable HTML5 encoding?! It lets you play speeches faster, so you can learn faster!

  • @NPderive
    @NPderive 11 лет назад

    Thank you. I started it at 9:30, and realized you saved me from a massive headache. "blah blah blah, me me me, blah blah blah, my friends, me me me.

  • @zulfukarialiarslan5029
    @zulfukarialiarslan5029 11 лет назад

    Enver ÇELİK sunulursa

  • @nozulani
    @nozulani 11 лет назад

    BEYNİN NASIL ÇALIŞTIĞINI ÇOK MERAK EDİYORUM LA!

  • @richardadams24
    @richardadams24 11 лет назад

    It he first 10 minutes I am Engadget

  • @libertarianjury
    @libertarianjury 11 лет назад

    Now we can get on with what Hans Moravec called "the rising tide of machine intelligence." Time to become a sea-faring people. Time to get smarter. I can hardly wait! :)

  • @ToriKo_
    @ToriKo_ 6 лет назад

    meme