How the Brain Works: The Thousand Brains Theory of Intelligence | Numenta

Have you ever wondered what makes you intelligent? How are you able to see, hear, think, read, sing, solve problems, and perform any number of intelligent tasks?

Your brain learns a model of the world, and this model recreates the structure of everything you know. Everything you do and experience is based on this model. Intelligence is the ability to create this model of the world.

But how can a bunch of cells in your brain create a model of the world and everything in it? The Thousand Brains Theory provides an answer. Not only that, but it also provides a blueprint for how to build truly intelligent machines.

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Numenta is leading the new era of machine intelligence. Our deep experience in theoretical neuroscience research has led to tremendous discoveries on how the brain works. We have developed a framework called the Thousand Brains Theory of Intelligence that will be fundamental to advancing the state of artificial intelligence and machine learning. By applying this theory to existing deep learning systems, we are addressing today’s bottlenecks while enabling tomorrow’s applications.

[qubitza]

Still missing Matt and his HTM School Videos 😓

[anonymus]

I'm sorry i was the 70th like but it has to be liked and shared. Numenta is a great addition to understanding our brain and building intelligent machines. I had my eyes on it since a professor of mine introduced us to the book On Intelligence.

[addoul]

Very nice to see these ideas in animated form :)

[marvinkunz]

Nice nod to Wittgenstein with the "What is a game" and the idea of the language-game and how meaning arises out of the rules the meaning is embedded in

[vishalsharma]

This is an excellent video . Thank you .

[miguelangelrodriguez]

Great video! I’ll start working on creating a demo to understand this better and go deeper ;). Nupic code is updated with this new model?

[maitas]

At some level it have some similarity to Marvin Minsky's amazing "The Society of Mind"

[PhullKnameNullContent]

Recently, interesting associations from research on associative learning in box jellyfish by Jan Bielecki, a neurobiologist at Kiel University in Germany. From Scientific American- "Bielecki and his colleagues looked for associative learning in small jellyfish that sport four eye structures called rhopalia that each contain six eyes and about 1, 000 neurons, he says. (Each rhopalium takes turns acting as the jellyfish’s noncentralized nervous system.)" - Could the rhopalia be analogous to a reference frame as in the Thousand Brains theory?

[sunnyinvladivostok]

Why the confidence that these machines will be able to think faster and sense more than humans? By virtue of having more cortical columns programmed into them, and a wider array of sensory inputs?

[jonathancarewick]

Love it, but has some serious Jurassic Park vibes :)

[lucamatteobarbieri]

Scientist could prove this theory by optogenetically disabling and re-enabling single columns in animal experimental models?

[zombieinjeans]

Wait, each column is the size of a grain of rice? Do you mean a grain of sand? A grain of rice seems awfully big. I know there are mini-columns and hyper-columns, but even a hyper-column that's the size of a grain of rice seems huge. Isn't that like 100, 000 neurons? Do hyper-columns really have that many? Or is there another step up, mega-columns or something like that?

[pommemoi]

Interesting idea. But until this can be mapped to and understood at the level of atoms and molecules, let’s not assume too much. Exactly how is a reference frame stored and expressed at the molecular level? What ions are involved, and in what quantity and in what arrangement?

[haluk]

For Coffee Cup's sake, could you please find another toy example? Please.

[NakedGoose]

0:00 No, that's a cartoonish drawing of a brain.

[andrewowens]

As a longtime advocate of your work, I proposed legislation that forbids degrees in artificial intelligence without first having a doctorate in cognitive neuroscience.

[meinbherpieg]

We just better learn how to filer out hubris in these next generation "intelligent" machines, otherwise they will inevitably consider themselves gods.

[Entertainment-jbiv]

Wrong read the book the big picture by sean carroll to understand the original purpose of life and emergence of intelligence, I have made a theory of cellular intelligence based on it