Neurotronic Brain
— Hypothetical Essays on Ybymarian Technology —
1. Structure of a Neurotronic Brain
A standard neurotronic brain is shaped like a half sphere about 4 inches in diameter. This half-sphere is formed by 256 lobes of approximately 8 mm in diameter, each containing 256 million interconnected neurotrons, making a total of 64 billion neurotrons.
A brain with RNR1 (reconfigurable neurotronic network) architecture is incredibly more complex than a brain with RNF2 (fixed neurotronic network) architecture with the same number of neurotrons.
Each lobe has the shape of a cylindrical structure, as illustrated below, for a Fixed Neurotronic Network.
In a lobe with an external area of around 2.5 cm², where around 1 square micron is dedicated for each neurotron so that around 256 million of them can be inserted there. For the PSI311 model, the neurotrons are simpler, and the internal interconnections between the neurotrons of each lobe are fixed.
The lobes are arranged in a hexagonal grid, curved in the shape of a half sphere, as shown in the illustration below. Each hexagon contains a lobe, 256 of which are distributed throughout the semi-sphere that constitutes the neurotronic brain.
External view of the grid where the lobes are installed
Side section that illustrates the interconnection between the lobes
The structure of brains 311 and 397 is identical, but the neurotrons of the latter are much more complex.
The 496 brain has a reconfigurable network; therefore, both the lobes and the interconnection between them are more complex. Each lobe is divided into groups of, say, 1 million neurotrons, and these groups can be independently connected to any other group of any other lobe.
Each lobe has photoemitters and photoreceptors at its base. The output signal is multiplexed at the photoemitter, and the input signal is demultiplexed at the photoreceptor. The internal structure is illustrated in the next page.
With this structure, each group can send and receive information to or from any other group quickly, efficiently, and without interference.
2. Neurotrons
They are small metamorphic digital processors whose function is to imitate the behavior of biological neurons. They have few instructions and work at a low clock rate.
A neurotron has a data input of 8, 16, 32, or more bits, multiplexed into just one line. Its output is normally connected to several other neurotrons. Activators and inhibitors are encoded on the same line, and the nanoprocessor will identify them and respond with the appropriate output. Below is an illustration of a neurotron with 8 input bits and 8 output bits. By convention, let’s say that this neurotron is of type “i8o8,” which means “input, 8-bit, output, 8-bit.”
Neurotrons can have many 8-bit inputs (or 4-bit, 16-bit, etc.) but only one output that will be connected to several other neurotrons. The inputs are multiplexed to the size of the nanoprocessor’s input bus. The interconnection between neurotrons defines whether it will be a fixed or reconfigurable network. Below is an example of a Fixed Neurotronic Network (RNF).
In this type, the interconnection between neurotrons cannot be altered. In the Reconfigurable Neurotronic Network (RNR), the interconnections can be changed. See below for an illustration of RNR.
In RNR, one or more neurotrons determine how a group of them will be interconnected.
3. Digital and quantum processor
At the base of the neurotronic brain, a digital processor for automatic operations is installed, associated with a quantum processor. The shape of this processor is a cut cylinder that is fitted to the base so that the assembly can fit into a human-like skull. Look at the illustration in the next page.
The arrangement presented is purposely similar to that of the human brain so that it can be installed in a synthetic skull to facilitate the molding of the head and face with a human appearance.
4. Failure prevention
Additionally, one or more supercapacitors can be installed in the digital module to prevent power failures. Likewise, in the central part of each lobe, a supercapacitor must also be installed for the same purpose. Power failures can lead to malfunctions and irrecoverable data loss in the brain.
1 Acronym from the Portuguese ‘Rede Neurotrônica Reconfigurável’.
2 Acronym from the Portuguese ‘Rede Neurotrônica Fixa’.
