The Amazing Multidimensionality Of The Human Brain

Using mathematics in a novel way in neuroscience, the Blue Brain Project shows that the brain operates on many dimensions, not just the three dimensions that we are accustomed to.

The Blue Brain Project is a Swiss brain research initiative led by Founder and Director Professor Henry Markram. The aim is to build biologically detailed, digital reconstructions and simulations of the rodent brain and, ultimately the human brain.

Through the usage of Algebraic topology, structures and multidimensional geometric spaces have been discovered in the networks of the human brain. Human brains are estimated to contain an average of 86 Billion neurons, each cell has several connections, connecting and expanding in every direction conveying an incredibly vast cellular network that amazingly permits us to think and achieve consciousness.

What neuroscientists have uncovered is the first geometrical design of neural connections and how they react to different stimuli.

Topology in neuroscience: The image attempts to illustrate something that can not be imaged – a universe of multi-dimensional structures and spaces. On the bottom is a digital copy of a part of the neo-cortex, the most evolved part of the brain. On the top are shapes of different sizes and geometries in an attempt to represent structures ranging from 1D to 7D and beyond. The “black-hole” in the middle is used to symbolize a complex x of multi-dimensional spaces, or cavities. Courtesy of the Blue Brain Project.

We are much more than what we are told we are.

In order to show how all human brain cells will adapt themselves in order to carry out extremely complex tasks, scientists have used computer model display methods. In their study, scientists reveal how structures are formed at the same time that they are interlaced in a “unity” that creates a precise geometric structure.

One neuroscientist who is the director of Blue Brain Project in Lausanne, Switzerland was interviewed and quoted as saying:

“ We have found a world that we had never imagined before. We’ve uncovered tens of millions of these objects even in a small speck of the brain, up through seven dimensions. However, in some networks, we even discovered structures with up to 11 dimensions.

All neurons within our brain are enabled to interconnect to an adjacent one, in a precise way; in order to form an object with intricate connections. Astoundingly, the more neurons to join in with the clique; the more dimensions that are included to the object.

Neuroscience experts have actually carried out tests on real brain tissue to very the findings to be correct.

In an interview to WIRED, Ran Levi Aberdeen said this: “The presence of high-dimensional cavities when the brain is processing information indicates that the neurons in the network respond to stimuli in a remarkably organized manner.”

Aberdeen continues, “It is as if the brain responds to an inducement by constructing then smashing a tower of multi-dimensional blocks, starting with rods (1D), planks (2D), cubes (3D), and then more complex geometries with 4D, 5D, etc. The sequence of activity throughout the brain resembles a multi-dimensional sandcastle that has the ability to materialize out of the sand and then disintegrate.”

Professor Cees van Leeuwen, from KU Leuven, Belgium, said in an interview with Wired: “Outside of physics, high-dimensional spaces are commonly used to represent complex data structures or conditions of systems. For example, the state of a dynamical system in state space.”

Van Leeuwan describes, “The space is simply the combination of all the degrees of freedom the system has, and its state represents the values these degrees of freedom are actually assuming.”

Many of us heard many times that mathematics is the language of the universe and it is fascinating that geometrical forms are even present in our thought structures. We wish much success to the Blue Brain Projects for many people are anticipating the mapping of the all aspects of the human brain.

Proof of this research was published in Frontiers in Computational Neuroscience.

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