Based on experimental evidence physicists publish revolutionary new theory on brain learning that contradicts the most common assumption in neuroscience, will transform our understanding of brain function, and open new horizons for advanced deep learning algorithms.
Neurons are the basic computational building blocks that compose our brain. Their number is approximately one Tera (trillion), similar to Tera-bits in midsize hard discs. According to the neuronal computational scheme, which has been used for over a century, each neuron functions as a centralized excitable element. The neuron accumulates its incoming electrical signals from connecting neurons through several terminals, and generates a short electrical pulse, known as a spike, when its threshold is reached.