Ai Dreams Forum

Artificial Intelligence => General AI Discussion => Topic started by: infurl on December 03, 2016, 11:38:50 pm

Title: Theory of Connectivity N=2^i-1
Post by: infurl on December 03, 2016, 11:38:50 pm
http://www.sci-news.com/featurednews/mathematical-logic-underlies-brain-computations-04397.html (http://www.sci-news.com/featurednews/mathematical-logic-underlies-brain-computations-04397.html)

The Theory of Connectivity is a fundamental principle for how our billions of neurons assemble and align not just to acquire knowledge, but to generalize and draw conclusions from it.

“In the present study, we systematically tested six predictions made by the Theory of Connectivity. We show that this power-of-two-based permutation logic operated in seven different brain regions and in two animal species during processing appetitive, emotional and social experiences,” the researchers said.
Title: Re: Theory of Connectivity N=2^i-1
Post by: keghn on December 04, 2016, 01:41:19 am
That is opposite of what i do. I divide by two then compare the two.
Title: Re: Theory of Connectivity N=2^i-1
Post by: jlsilicon - Robotics AI on December 04, 2016, 06:23:53 pm
Interesting concept - though it scares me to think that
- our thoughts are just simple Binary Bits in our Brains ...
Title: Re: Theory of Connectivity N=2^i-1
Post by: keghn on December 04, 2016, 07:51:37 pm
Quadtree Explanation:

https://www.youtube.com/watch?v=jxbDYxm-pXg (https://www.youtube.com/watch?v=jxbDYxm-pXg)



kD-Trees:

https://www.youtube.com/watch?v=HCdHG_J477A (https://www.youtube.com/watch?v=HCdHG_J477A)
Title: Re: Theory of Connectivity N=2^i-1
Post by: keghn on December 12, 2016, 07:18:37 pm
Two state system, conscious and subconscious. A adversarial networks network: 

https://www.youtube.com/watch?v=deyOX6Mt_As (https://www.youtube.com/watch?v=deyOX6Mt_As)
Title: Re: Theory of Connectivity N=2^i-1
Post by: keghn on December 30, 2016, 04:04:31 pm
Divide and conquer pattern searching: 

https://www.eurekalert.org/pub_releases/2016-12/kauo-dac122016.php (https://www.eurekalert.org/pub_releases/2016-12/kauo-dac122016.php)