Part One: A New Understanding of the Brain | A Thousand Brains by Jeff Hawkins

In this video, author Jeff Hawkins talks to Numenta VP of Marketing Christy Maver about Part One of his new book A Thousand Brains. Part One: A New Understanding of the Brain unpacks the primary principles behind his groundbreaking Thousand Brains Theory of Intelligence. He highlights two of the key discoveries that led to the theory’s creation and how this powerful new framework lets us look at some of neuroscience’s problems with a new lens. #athousandbrains

[Funzelwicht]

Jeff Hawkins "On Intelligence" was the reason I got into neuroscience... awesome theory.

[curtd]

Thank you Jeff Hawkins. I hope you get the recognition you deserve for the revolution you're helping bring about.

IT'S COMING OUT!!! JEFF HAWKINS NEW BOOK!!!
Now we have a book! If you have Reich in genetics and Hawkins in the brain you're current.

[JamesBradyGames]

This is great, I had pre-ordered months ago for myself. Im going to get copies now for all my curious friends and family. No better present. Thanks Jeff.

[arunavaghatak]

Do you have working simulations of the thousand brains theory (in the same way you had for HTM)? Did you get it to work? If yes, then did any intelligent behaviour emerge out of it? When can we expect the theory to turn into actual working machine learning model ( similar to HTM ) ?

[casualinfoguy]

How do reference frames account for the ordered temporality of concepts like recalling a song, or traveling to a destination along a route? The concept of an object description seems to coalesce in recalling an object description, however, temporality seems to add another dimension to recollection.

[Alex.R.Feyn.]

Me being totally excited about this. Does that mean I am expanding my models and connecting them to already existing reference frames?

[Radeohead]

Very exciting, this framework helps add higher level reference frames

[rickharold]

Fascinating. Love it! Been following your channel for a while now great thinking!

[АлександрОрлов-нм]

Hamiltonian dynamics of neuron network is a modeling tool. If one system were capable of modeling the dynamics of another system, that could be useful indeed. When the analog system is allowed to evolve in time, its dynamics will imitate the evolution of the modeled system. Each coordinate and momentum in the simulation depends on the activities of sets of neurons and that those set may overlap. The generalized coordinates are themselves functions of the neurons firing rates. Brain is “a physical working model which works in the same way as the process it parallels.” Craik

[margrietoregan]

chapter six and that chapter says
10:31
does the same theory apply to things we
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think like like mathematics or language
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um things that you aren't even
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physically tangible like
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like a coffee cup you know um and
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and can the same principles apply and
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it's and they can't
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and so then that's a really interesting
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intellectually interesting chapter in
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the book because
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we realize that thinking about something
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whether it's thinking about
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music or thinking about science or
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thinking about mathematics
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is very much analogous to moving your
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finger
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through a physical thing like a coffee
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cup you're moving your thoughts through
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a space in a reference frame
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and recalling stored information in the
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same way that when you move your finger
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over the coffee cup you're moving
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in the reference frame of the coffee cup
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and recalling information about the
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coffee cup
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um so i think i think we we managed to
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bridge that
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gap between what vernon mount castle
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proposed many decades ago
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which seemed impossible at the time to

[markcannon]

I have come to very similar theories using just theories of mind. Interesting stuff.

[Stan_]

How much money did Jeff Hawkins spend on Numenta so far ?