These simple neural clicks are then interwoven into large networks called functional connectivity

These simple neural clicks are then interwoven into large networks called functional connectivity motifs (FCM) in accordance with N = 2 i - 1. In this formula, N is the number of neural clicks connected in various ways, and i are the types of information they receive. For example, say you have an animal that wants food and females (i = 2). Therefore, three neuronal clicks (N = 2 x 2 - 1) are necessary to fully satisfy its needs. "According to this equation, each FCM should consist of a complete set of neural clicks that extract and process the various inputs in a combinatorial manner," Tzin says. By combining these schemes, the brain can create new ideas and ideas about the world, says Tzin. In a way, this is sort of disassembling and assembling LEGO cubes into all new structures. For an animal that deals with more complex introductions, each neural click handles various aspects of incoming information. Together they are intertwined with the formation of larger blocks capable of processing input data of a higher level. These blocks are pre-programmed, not learned, and, according to Tzin, are the main computational bricks of the brain. Thus, the brain can receive information and turn combinations of individual elements, such as "earthquake" and "landscape", into more general knowledge, such as "natural disasters".