It looks like you're using an Ad Blocker.
Please white-list or disable AboveTopSecret.com in your ad-blocking tool.
Thank you.
Some features of ATS will be disabled while you continue to use an ad-blocker.
A simple algorithm could explain the inner workings of human intelligence, and it could one day be encoded into artificial intelligence (AI) systems, researchers suggest.
It's a mind-bending idea: that all the complex thoughts running through our heads are the product of a set of definable sums. But scientists have identified clear patterns in the brains of mice and hamsters, and if a similar phenomenon could be found in human brains, it could form the basis of such an algorithm for intelligence.
"Many people have long speculated that there has to be a basic design principle from which intelligence originates and the brain evolves, like how the double helix of DNA and genetic codes are universal for every organism," says lead researcher Joe Tsien from Augusta University in Georgia.
"We present evidence that the brain may operate on an amazingly simple mathematical logic."
For his latest study, Tsien put his Theory of Connectivity and FCMs to the test, using electrodes implanted at specific points in the brains of mice and hamsters to monitor neuron activity.
Sure enough, his team was able to predict the neural cliques that formed in response to certain scenarios, such as the arrival of food or the presence of a threat. Depending on the scenario, the animals' neurons arranged themselves in very predictable groups.
In one test, four different foods were placed in front of a group of mice, and the researchers watched as the neurons grouped together instantly. They were even able to identify different clique formations depending on what combinations of foods were presented.
"For it to be a universal principle, it needs to be operating in many neural circuits, so we selected seven different brain regions and, surprisingly, we indeed saw this principle operating in all these regions," explains Tsien.
These cliques appeared almost immediately as the food appeared, which suggests that they're somehow 'pre-wired' during brain development.
At the centre of Tsien's hypothesis is the formula n=2ⁱ-1, where 'n' is the number of connected neural cliques, '2' indicates whether the neurons are receiving an input or not, 'i' is the information being received, and '-1' is accounting for multiple possibilities.
Tsien says this formula is enough to predict FCM grouping.
"This equation gives you a way to wire the brain cells in such a way to turn seemingly infinite possibilities into organised knowledge," he said.
originally posted by: cuckooold
It's a mind-bending idea: that all the complex thoughts running through our heads are the product of a set of definable sums.
originally posted by: namelesss
Another failed hypothesis before it even starts.
Thought is not manufactured in that wet lump of meat in our skulls, and there is no evidence to suggest such.
Neither is thought 'stored' in the brain, for future reference.
originally posted by: Krahzeef_Ukhar
originally posted by: namelesss
Another failed hypothesis before it even starts.
Thought is not manufactured in that wet lump of meat in our skulls, and there is no evidence to suggest such.
Neither is thought 'stored' in the brain, for future reference.
How does dementia play into your theory?
Or people with head injuries that result in amnesia?
Seems to me that there is plenty of evidence that the wet lump of meat in our skulls is pretty important.
originally posted by: FamCore
a reply to: cuckooold
What's the algorithm for human stupidity? Or are there many?