Title : Genetic code, neurocode and prospects for developing strong artificial intelligence
Abstract:
Further research into the genetic code and its physical properties is an important resource for decoding the neurocode and developing strong artificial intelligence. DNA has a hierarchical spiral structure, which still remains outside of the attention of science. Meanwhile, it contains part of the genetic information and is a source of a long-range electromagnetic field. Thanks to it, the DNA ensemble forms a single interference pattern. The hierarchy of code fields is a set of programs embedded in one another and performing semantic autodistillation and evaluation of incoming signals. At the same time, a new quality is born: code structures for regulating physiological processes and brain neurodynamic systems - codes of mental processes.
Neurocode is an active self-reproducing information carrier that performs the functions of a program for managing and regulating physiological processes and forms the fundamental foundations of the psyche. It is an operating system of consciousness, similar in a functional sense to the genetic code. Consciousness represents the highest levels of self-organization processes included in the scheme of the genetic code. These levels rely on the underlying ones and use their results. Therefore, when studying neurocode, it is important to study the physical means of encoding and decoding information in the nervous system. The study and decoding of neurocode is one of the main tasks of modern neuroscience. But how does the encoding of external and internal stimuli in the body occur in the nervous system, and then their decoding, “understanding” of their significance for life and for the response?
Although neurocode research has a long history, only recently a new paradigm in solving this problem has appeared. Its essence is that the neural code is not implemented by discrete, identical spikes, but includes an analog (wave) component (it differs in period, amplitude and shape of the phase portrait). In this sense, the neurocode is not digital, but analog-digital and therefore is capable of encoding very large volumes of information in the shortest periods of time. The problem of decoding the neurocode also includes the inverse problem: restoring the content of the signal using a neurocomputer interface based on the activation of brain processes that were defined as the code of this content. This direction of neuroscience "Brain Reading" has achieved significant results. When they talk about the genome Mind and its creative capabilities, they mean numerous information competencies that have been developed in the course of biological evolution and are effective ways of managing complex life processes. But it still remains nothing more than a student of the Genomic Mind. Turning to the genome as the primary source of our Mind is an important condition for further study of the neurocode, development of artificial intelligence (AI) systems capable of performing the functions of natural intelligence.
Genomic AI (GAI) is a substrate that includes some forms of the genome and its environment - the environment, independently, as a result of self-organization, establishes its state depending on external circumstances. For these purposes, you can use: DNA extracted from neurons, whole samples and its fragments. Environment - water compositions, gels, etc. The physical result of the GAI work is a multi-level state of substances, fields and radiation in terms of scale, time, topology and vibration spectrum. It can manifest itself in the form of stable patterns of matter or oscillating interference of waves of various natures. This is a complex and unpredictable state. Methods of activation, training and self-development of GAI are considered. The possibility of using this concept to create artificial self-reproducing codes similar to the genome is considered.
