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Brain: the mathematical law that regulates the distribution of neurons discovered

A study published in the journal Cerebral Cortex, as part of the Human Brain Project, analyzed the brain to find a connection between mathematics and neurons

The ability to digitally simulate the human brain it is part of a project called the Human Brain Project. Financed byEuropean Union with one billion euros in 2015, it is still under development. The goal is to understand the complexity of this organ and to map it 85 billion neurons e 100 trillion synapses. A new study published in the journal Cerebral Cortex is part of this innovative project. The authors of this study discovered the existence of a mathematical law that regulates the distribution of neuronshere are their statements:

The number of neurons and their spatial variation are fundamental organizational characteristics of the brain. Despite a large body of data available in the literature, however, the statistical distribution of neuronal density within and between brain areas is still largely unknown. In this work, we show that this density is compatible with a log-normal distribution in several mammalian species.

Brain: the mathematical law that regulates the distribution of neurons discovered

Brain and neurons: mathematics helps us understand brain dynamics

Sacha van Albadaone of the authors of the new study, clarifies:

The distribution of neuron density influences the connectivity of the entire network: for example, if the synapse density is homogeneous, regions with fewer neurons will have more synapses per neuron.

Alexander van Meegenanother of the authors of the work, explained:

One reason why the log-normal distribution could be so common in nature could be related to the fact that this distribution arises when there are variables that “multiply” with each other [quella normale, invece, è legata a variabili che si “sommano”, ndr]. Although we cannot be sure how the log-normal distribution affects brain function, we can hypothesize that it is associated with high network “heterogeneity”, which could represent an advantage from the point of view of the “computational power” of the brain.

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