Tutorial and Discussion on Cortical Column Voting Mechanisms Developed by Numenta - 5 April, 2022

Subutai Ahmad gives a tutorial on the voting mechanisms in cortical columns developed by Numenta and answers questions from the team.

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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.

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[bzzzvzzze]

I literally love every question from Viviane. Especially at 1:19:35. She is pure gold!

[taylan]

Thanks for great content, hope more often you can post videos.

[rsjoat]

More nuanced movement is evolutionarily connected to fear ? The more you learn balance the more you may run across and have to deal with biophysical processes which occur during “fear” ?

[hamidmasoodkhan]

Number of assumptions we have to make for implementation.

[hyunsunggo]

Jeff doesn't sound well. Is he alright?

[waylonbarrett]

I have built many models which are influenced by the essence of these ideas. My models modify several algorithms, but function similarly.

[AlexandrosLiakopoulos]

i don' t know if you have realised it but the draw-board you are starting with - Input Layer / Output Layer - is optically exactly what we will get in an reversed-engineered double-slit experinment in quantum mechanics. The photon passing the slit forms columns for our brains have to account for time, which they connect with movement in space. So, as the time passes, your input layer becomes the double-slit experinment output layer, for our brains have to account for the estimated movement of the source emitting the light. In nature, light does not come out of darkness, nor moves in non-linear ways easily to predict, learn and anticipate. Broadly speaking, you give an answer to quantum uncertainty, unifying the observer and the observed under their unique time-space positions. I think you should check your quantum mechanics!