Human brains construct neural structures with up to 11 dimensions during information processing, as revealed by groundbreaking research combining neuroscience and mathematics.
The Blue Brain Project, based in Switzerland, aims to create a detailed digital simulation of the human brain using supercomputers and advanced mathematical techniques.
Algebraic topology, a branch of mathematics, was pivotal in visualizing the intricate multi-dimensional network, providing a unique perspective on the organized patterns of neurons previously considered chaotic.
Virtual and real brain tissue experiments illustrated that stimulated neurons form cliques, organizing into geometric structures with dimensions reaching up to 11, referred to as “sandcastles.”
The discovery opens doors to understanding the profound link between the brain’s structure and information processing, offering insights into neuroscience’s fundamental mysteries.
The human brain, a marvel of complexity, continues to astound researchers with its extraordinary capabilities. In a groundbreaking revelation, a collaboration between neuroscience and mathematics has unearthed evidence that the brain constructs neural structures in up to 11 dimensions during the information processing journey.
This remarkable discovery stems from the efforts of the Blue Brain Project, based in Switzerland, with the ambitious goal of digitally simulating the human brain at a biologically detailed level.
Henry Markram, the director of the Blue Brain Project, expressed the team’s amazement at finding a previously unimaginable world within the brain’s intricate workings. With approximately 86 billion neurons, the human brain is a vast and complex network, and the researchers utilized supercomputers and a specialized branch of math to delve into its depths. The foundation of their current research was laid in 2015 with a digital model of the neocortex, the brain’s most evolved part.
To gain insight into the operations of this immense neural network responsible for shaping thoughts and actions, the scientists employed algebraic topology, a mathematical system describing systems with any number of dimensions. This novel approach allowed them to visualize the brain’s creation of highly intricate multi-dimensional geometrical shapes and spaces, akin to the formation of “sandcastles.”
Algebraic topology acted as both a telescope and microscope, zooming into networks to uncover hidden structures while simultaneously revealing the organized nature of what appeared to be chaotic neuron patterns. Kathryn Hess, the study’s author, compared algebraic topology to a tool that could explore the trees in the forest (networks) and identify the clearings (empty spaces) simultaneously.
Virtual brain tissue experiments paved the way for further validation through tests on real brain tissue from rats. The stimulation of virtual neurons resulted in the formation of cliques, wherein each neuron connected to another to create specific geometric objects. The dimensions of these structures could extend up to 11, revolving around a high-dimensional void termed a “cavity,” which vanished after information processing.
Ran Levi, a researcher, elucidated the process by comparing it to the creation and disintegration of a multi-dimensional sandcastle. This organized reaction of neurons to stimuli provides a unique perspective on how the brain processes information, offering a glimpse into one of the fundamental mysteries of neuroscience.
The significance of this discovery lies in its potential to deepen our understanding of the link between the brain’s structure and its information processing mechanisms. Kathryn Hess emphasized its importance in unraveling the mysteries of neuroscience, particularly in studying plasticity—the strengthening and weakening of neural connections during stimulation, a key factor in learning.
Looking ahead, the scientists envision applying algebraic topology to explore the role of plasticity further and anticipate its use in understanding human intelligence and the formation of memories. The published research in Frontiers in Computational Neuroscience marks a significant leap forward in our quest to comprehend the intricacies of the human brain.