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New research suggests that the human brain is almost beyond comprehension because it doesn’t process the world in two dimensions or even three. No, the human brain understands the visual world in up to 11 different dimensions. The astonishing discovery helps explain why even cutting-edge technologies like functional MRIs have such a hard time explaining what is going on inside our noggins. In a functional MRI, brain activity is monitored and represented as a three-dimensional image that changes over time. However, if the brain is actually working in 11 dimensions, looking at a 3D functional MRI and saying that it explains brain activity would be like looking at the shadow of a head of a pin and saying that it explains the entire universe, plus a multitude of other dimensions.
What Hess and her colleagues found was that the brain processes visual information by creating multi-dimensional neurological structures, called cliques, which disintegrate the instant they are understood, according to Newsweek who first reported on the research that was published in the journal Frontiers in Computational Neuroscience. The cliques have up to 11 different dimensions and form in holes of space, called cavities. Once the brain understands the visual information, both the clique and cavity disappear.
“The appearance of high-dimensional cavities when the brain is processing information means that the neurons in the network react to stimuli in an extremely organized manner,” said researcher Ran Levi. “It is as if the brain reacts to a stimulus by building then razing a tower of multi-dimensional blocks, starting with rods (1D), then planks (2D), then cubes (3D), and then more complex geometries with 4D, 5D, etc. The progression of activity through the brain resembles a multi-dimensional sandcastle that materializes out of the sand and then disintegrates,”
Henry Markram, director of Blue Brain Project, explained just how momentous a discovery the multi-dimensional structures could be. “The mathematics usually applied to study networks cannot detect the high-dimensional structures and spaces that we now see clearly,” he said. “We found a world that we had never imagined. There are tens of millions of these objects even in a small speck of the brain, up through seven dimensions. In some networks, we even found structures with up to 11 dimensions.”
originally posted by: and14263
How do you perceive/measure 4 dimensional and 5 dimensional occurrences?
Topology is really the mathematics of connectivity in some sense,” she says. “It’s particularly good at taking local information and integrating it to see what global structures emerge.”
For the last two years she’s been converting Blue Brain’s virtual network of connected neurons and translating them into geometric shapes that can then be analyzed systematically. Two connected neurons look like a line segment. Three look like a flat, filled-in triangle. Four look like a solid pyramid. More connections are represented by higher dimensional shapes—and while our brains can’t imagine them, mathematics can describe them.
Particle physics always has been in a need for extra dimensions to explain subatomic phenomena in our space-time continuum.
Three spatial dimensions we see and the time we feel are not enough to elucidate sizes, masses and other properties of elementary particles. Generally speaking, there are too many particle flavors for just 4 dimensions we know.
How many dimensions does our continuum have?
The explanation below is intended to prove that there are 11 dimensions in our space-time.
In physics, three dimensions of space and one of time is the accepted norm. However, there are theories that attempt to unify the four fundamental forces by introducing extra dimensions. Most notably, superstring theory requires 10 spacetime dimensions, and originates from a more fundamental 11-dimensional theory tentatively called M-theory which subsumes five previously distinct superstring theories. To date, no experimental or observational evidence is available to confirm the existence of these extra dimensions. If extra dimensions exist, they must be hidden from us by some physical mechanism. One well-studied possibility is that the extra dimensions may be "curled up" at such tiny scales as to be effectively invisible to current experiments. Limits on the size and other properties of extra dimensions are set by particle experiments[clarification needed] such as those at the Large Hadron Collider.
In mathematics, topology (from the Greek τόπος, place, and λόγος, study) is concerned with the properties of space that are preserved under continuous deformations, such as stretching, crumpling and bending, but not tearing or gluing.
In geometric topology, the theory of manifolds is characterized by the way dimensions 1 and 2 are relatively elementary, the high-dimensional cases n > 4 are simplified by having extra space in which to "work"; and the cases n = 3 and 4 are in some senses the most difficult. This state of affairs was highly marked in the various cases of the Poincaré conjecture, where four different proof methods are applied.
The first formal definition of covering dimension was given by Eduard Čech, based on an earlier result of Henri Lebesgue. A modern definition is as follows.
An open cover of a topological space X is a family of open sets whose union contains X. The ply or order of a cover is the smallest number n (if it exists) such that each point of the space belongs to at most n sets in the cover. A refinement of a cover C is another cover, each of whose sets is a subset of a set in C; its ply may be smaller than, or possibly larger than, the ply of C. The covering dimension of a topological space X is defined to be the minimum value of n, such that every open cover C of X has an open refinement with ply n + 1 or below. If no such minimal n exists, the space is said to be of infinite covering dimension.
As a special case, a topological space is zero-dimensional with respect to the covering dimension if every open cover of the space has a refinement consisting of disjoint open sets so that any point in the space is contained in exactly one open set of this refinement.
In string theory and related theories such as supergravity theories, a brane is a physical object that generalizes the notion of a point particle to higher dimensions. Branes are dynamical objects which can propagate through spacetime according to the rules of quantum mechanics. They have mass and can have other attributes such as charge.
originally posted by: VegHead
a reply to: Kashai
I agree that precognition would be a huge survival advantage... but I don't understand how this study would be tied to precognition.
I feel like the headline is really misleading. Like I don't think they mean 11 spatial dimensions like regular people like me assume... it sounds more mathematical. And the multiverse connection I don't see anywhere in what I'm reading... other than this multi dimensional is similar to a multiverse concept??
Hawkeye - I'm getting dumber with age too. You aren't alone. this might have made sense to me when I was 20.
Gravity feels strongest where spacetime is most curved, and it vanishes where spacetime is flat. This is the core of Einstein's theory of general relativity, which is often summed up in words as follows: "matter tells space-time how to curve, and curved space-time tells matter how to move".
The space time doesn't curve into any other space. Curved space implies that the "distance function" is not the same as in euclidean space. It is true that to represent these curved space in terms of Euclidean distance function you would need extra dimensions.
For example let us consider the case of a uniformly curved two dimensional space with positive radius of curvature. This can be represented as the surface of a sphere of a given radius. But can you feel the third dimension if you were living on it? No, the third dimension doesn't exist for an organism living on the sphere, but it can use it to better understand it's own world.
That is not the only possible representation. As mentioned in one of the Feynman lecture books, the space can also be taken as a plane space with varying "temperature" and that each "scale" which we use for measurement has the same coefficient of expansion. The variation of temperature can then decide the distance function.
Note- The distance function here refers to the characterizing function of the space which takes in two points in the space and returns a scalar which we take to be the distance between the two points.