The first article of the brain wandering:

From the perspective of the Internet, we can interpret the operation of the brain from a new perspective, understand memory, emotion, thinking, differentiation of brain functional areas, and so on. The underlying layer is a network of neuronal connections, such as synaptic dendrites for growth and relationship formation.

A certain experimental technique is used to observe a specific amount, and then the data is collected to build a certain correlation, such as the measurement of the brain's work by fMRI.

The process of the particular individual, the boundary, helps us to understand the whole situation, because we can use it as a boundary, exclude most impossible situations, and construct correlations within its distribution. Referring to our various knockout mice, we can understand the mechanisms of operation at the network level of the brain by understanding the processes of individuals with brain damage. Sometimes, the emergence of this new nature is the equilibrium reached by the multi-level competitive game of the network. For example, the use of microcurrent during surgery can apply equivalent processing, that is, relatively macroscopic neuronal movement, which is a high-dimensional treatment (generally not formed, but can be applied by external current). And the combination of a particular form of the magnetic field can therefore be a particular feeling, which is a sequence of selective expressions.

The equivalence connection between imagination and reality, that is, we can simulate the brain response triggered by a specific situation in reality through certain neural activation, that is, brain-computer interface technology.

Sensation and so on are based on the nature of the structure formed by the interconnection of a large number of neurons in the brain, theoretically the neuronal connections of the brain can construct various types of connections, of course, this pathway formation is limited, we have a certain mechanism to ensure that it will not be randomly combined, but form a meaningful pattern. This is because power is provided at random, and power is formed in an orderly manner

Therefore, love, which is recognized by our social level, can also be deconstructed into the release of various neurotransmitters, the release of various polypeptide hormones, and the decomposition of various enzymes. Moreover, various possible mental illnesses can also be understood along similar lines, and even possible treatments can be made. From my personal point of view, the mind is also a high-dimensional structure, which is the result of a selective combination of neurons (a high-dimensional structure formed by the upward traversal of the physico-chemical, etc. The hierarchical similarity of the network can be explained by the fractal structure of the network. The multi-level coupling forms the final high-dimensional structure. Multi-level information exchange, i.e., the limbs constantly feed back information, and the brain, a high-dimensional structure, is able to exert influence.

The modularity of the network, i.e. the differentiation of various functional areas. This is based on the synergy of the brain, and specific roles such as recognition ability are the pattern recognition ability formed by the combination of specific brain modules. This multi-behavioral, multi-region correspondence is the probability network of Markov sequence interpretation, i.e., specific behaviors are associated with multiple regions, but brain regions are also associated with different behaviors. It has a certain probability correspondence distribution, and a certain fixed point can be found.

The equivalence conversion of information is one of our normal brain functions, which is the embodiment of the stability of the network, after all, information needs to be determined multiple times, if this competitive game relationship cannot be formed, a certain equivalence information can be created to maintain the mechanism of this game. Phantom limb syndrome is an example of this construction of equivalence relationships in human networks. The brain lacks feedback from the body, so it equivalently converts to release stronger stimuli to dominate the limbs, but the limbs no longer exist, so this hallucination occurs. But for the brain, hallucinations and reality are actually equivalent to health states and disease states, but based on different dimensionality reductions in high-dimensional structures. In essence, phantom limb syndrome is a kind of disharmony, and other levels of the brain still operate according to the original structure, but this feedback structure has been broken, that is, the brain originally has a structure corresponding to different regions, and needs to accept neural reflexes from a specific area to coordinate (regarded as a game), if the final coupling structure cannot be formed, other pathological conditions may be formed due to the tendency to form a coupling structure, that is, the brain will reorganize, and the information of the face may be regarded as the input of this structure. Phantom limb syndrome proves to a certain extent that sensation is a high-dimensional structure formed by the continuous traversal of a certain data loop structure.

Multi-level coordination, high-dimensional structures formed at the levels of molecules, genes, proteins, cells, tissues, organs, etc., can explain the brain activity formed by neurological traversal. Pattern recognition is the search for the complex relationship formed by these complex data, and its interaction is the formation of a specific pattern, and this specific combination form determines the uniqueness of each person, and this inevitable combination mechanism enables us to form a similar brain structure. This kind of underlying change may affect our higher dimensional level to a certain extent, such as the death of brain cells will change personality to a certain extent. This selective expression may have caused an abnormality in the brain of artists such as Van Gogh, which led to a new understanding of the world.

The selective combination of different modules of the brain may have different high-dimensional structures formed, but only probabilisticly. There is no neural circuit of creativity, only the interaction between the circuits, and the nature of the emergence of high-dimensional structures formed by competitive games is various concepts such as creativity and so on. The combined form is the high-dimensional structure, which can construct a certain correspondence with various real emotions, thoughts, etc., and it can be said that this combined form/information is the object that determines our uniqueness.

Religion is born out of madness. Outstanding too.

The second emotion

Emotion is also a high-dimensional structure based on the formation of neuronal circuits. Its variation is also related to the mechanism by which it arises, i.e., the combination. of pattern formation. Expression is a kind of immobility, and people in different places are able to express emotions with similar expressions.

Theoretically, the various processes that may have an impact on the brain are multi-layered, i.e., the physical damage that occurs between trauma, drugs, etc., but also includes the damage that may arise from the experience, because the various neuronal activation patterns are also based on certain physiological activities. This can be seen in various post-traumatic stress behaviors, which are characterized by certain organic changes in the brain, such as stress disorder. This may be related to the mechanism of memory, i.e., the brain forms certain patterns, and the formation of certain patterns is the basis for the various possible situations that occur later. This pattern formation is the equilibrium of a particular game.

Memory determines what we are. This is an empirical measurement of the approximation of the local optimal to the global optimum, after all, it is possible to continue to live according to the original method. It can be understood in the form of a Bayesian formula calculation. The concepts and experiences derived from it are also an important basis for our pattern recognition, which is essentially a statistical analysis of a variety of situations.

Emotions are multi-layered, not only the neural activity of the brain, but also the body's muscles, blood vessels, and bones to respond. Of course, changes in the brain are the most intrinsic immobility.

The interaction between emotion and thinking is coupled with each other, that is, emotion is not only related to the brainstem and other parts of the development of the reptilian era, but also interacts with the development of the limbic system and cerebral cortex construction in the future, that is, it will eventually evolve into a multi-level comprehensive effect. Of course, there is also a certain distribution of the degree of action of these parts. This can be done through a certain amount of emotion research to discover the relationship between emotions and thinking.

Improvement of cognitive ability, awareness of higher dimensions, recognition of abstract concepts.

The limited area is more fixed-point correspondence, that is, the limited emotion has a more definite brain region. Such as the correspondence between fear and amygdala.

In a multi-layered competitive game, we need to reach the final equilibrium: the brain induces fear to survive, but excessive fear can have adverse effects.

The nature of emotions, various molecular networks, in which specific hormones may be immobility. For example, oxytocin is associated with love. The effects of taking drugs may have some effect on the high-dimensional network in it. Perception has a direct effect on the variety of reactions that may arise, because we use different mechanisms to react to the known and the unknown. So we know that emotions are a combination of multi-level coupling, not only related to changes in our molecular networks, but also related to individual cognition. For this theory of selective combination and expression of multiple neural circuits, we need experiments to prove.

Chapter 3: The Mechanism of Human Thinking

Think, dream.

The recognition of specific patterns is the embodiment of the high-dimensional structure of the brain, including the formation of senses such as sight, hearing, smell, etc. Large-scale data collection and processing places high demands on the brain's processing and computing power. Of course, this kind of processing is not to reconstruct the underlying layer and then continue to ascend the dimension of traversal, but to use the existing modules of the brain, and then call them like a program, so as to finally play a high-dimensional pattern recognition role.

The formation of this small module is a more deterministic recognition, just as the three primary colors of red, green and blue can be used as a substrate to traverse every point of space through selective expression, and the brain also has these mechanisms for diagnosing specific changes, such as the sense of smell has specific receptors to recognize specific gas molecules, and on this basis, there are specific combinations to selectively express.

This kind of pattern recognition is a kind of high-probability recognition of low-probability sequence combination, which is an orderly form of organization, and there is a high-dimensional mechanism that allows it to organize the information of different modules and combine them in a relatively certain form, that is, our various ordinary cognitions. This requires us to quickly identify specific fixed points, i.e., high-dimensional patterns (such as probability matrices, which are achieved through the underlying information gathering). This recognition system is a conventional way of understanding the world, where interpretation and the existence of facts are at different levels, and the connection of knowledge and information may be separated for different reasons.

Attention resources are limited, which is a natural differentiation of the brain's multi-level processing of information. This resource can be significantly saved based on past experience. That's why we have all sorts of delusions, we can handle most normal situations by invoking past experiences, and once we get to a different environment, we need new vigilance mechanisms. Inferring knowledge from memory, suggests that it may be dissociated.

The key to multi-level combination lies in the identification of key sequences, which is a kind of optimal solution problem, which corresponds to a certain pattern, corresponding to a specific feeling, and other high-dimensional structures.

Chapter 4: Social Formation

Society and civilization are high-dimensional structures based on the cooperation between individuals, and are meaningful paths for large-scale trial and error, which can use the power of each individual, such as the sum of infinitesimal sums of calculus, which can be stacked to form high-dimensional level integral operations. Essentially, because knowledge can be transferred and applied at a relatively low marginal cost. And in essence, collaboration between individuals can provide infinite combinations of possibilities, which are massive, and according to the law of large numbers, meaningful patterns can emerge, i.e., various fixed points and high-dimensional structures. Corresponding to the various decisions formed by society, such as future expectations, plan making, and behavior control, etc., we can still find a fixed point relationship in the brain in a specific area and even its combination.

Language is this external mechanism for the transfer of experience.

The resistance change of the network is the basis of self-healing, that is, the stability of the network can be restored according to a certain memory. The complementarity between the different modules is limited. The combination of specific functional areas is a high-dimensional structure, which will have a similar distribution in different individuals, i.e., the correlation of multiple parts with language comprehension. The combined effect of these structures can understand various abstract concepts (language learning), and this process is like P=1-(1-p)^N, as long as the N order is large enough, even if the probability of p is small, the probability of eventually forming a high-dimensional structure will still increase. And this process can also be understood in terms of Bayesian process. Our human ability lies in the habit of performing various operations at this high-dimensional level of abstraction. Various variables are a kind of high-dimensional abstraction, which requires us to have enough module support to achieve this abstraction, and ordered combination is a specific pattern formation, which can perform certain logical operations. And the calculations performed at this level are the same as those of a computer, and may also be similar to the functions of our language. The power of combination is endless, and different patterns can emerge, with different environmental adaptations and effects. For example, in ancient times, human beings went from the formation of communities to the formation of civilizations, which was a process of continuous ascension.

The differentiation of the different modules is the basis for the implementation of such advanced functions. This can be seen from various observations in patients with split brain function, i.e., asymmetry between the left and right brains.

The various effects of stroke are selectively expressed based on the web

The measurement/quantification of various abilities is the basis of various studies.

The ability to integrate various situations, i.e., high-dimensional comprehension/pattern recognition of data, may be a multi-level coupling, i.e., the construction of key sequences, which may have some similarity.

Essentially, this pattern recognition requires traversal/enumeration of all cases (e.g. 2^n), but the problem is that this kind of computation is too computational, so to speak, it is an exponential explosion of NP difficulty, so we need various constraints, i.e., boundaries (empirically) to reduce the computational effort. We can also perform operations at this level by extracting high-dimensional structures, such as representing various cases in binary form and then performing bitwise operations (AND, OR, XOR, negation, shift). Moreover, according to the dynamic programming of bioinformatics, we can find the local optimal solution to continuously approximate the global optimum, and we can solve it according to a specific small-scale optimal solution, and then perform an extension operation at this part. We also have various genetic algorithms, neural networks, simulated annealing, and so on to carry out the collapse of a specific path, that is, the selection of a limited number of meaningful cases, which tend to be low-probability, and we need to screen at the statistical level.

Article 5 Thoughts

Our thinking is essentially a combination of different objects, which are constantly ascending to form a high-dimensional model, and finally can have a certain correspondence with the real world. The so-called nothing new under the sun is that the underlying objects that we can combine are limited, but the high-dimensional structure formed by their combination is actually an objective entity, but it is difficult for ordinary people to understand and admit it, and even if it is said, sometimes seeing may not be believing. The probability that this combination will be able to form a meaningful pattern is low, but there is a large base in our global human circle, so we have a relatively considerable concrete model realization (expectation = probability * Base numbers, the law of large numbers, the mathematical basis for the emergence of patterns) and this is not exactly a random combination, we have experience and can continue to pass it on, so we can follow the successful experience of our predecessors, and at the same time avoid the pitfalls revealed by the failed experience of our predecessors, which is a kind of approximation of the local optimal traversal to the overall optimum.

Sufficiently high-dimensional structures are capable of performing various operations, such as learning behavior, memory, and even personality formation, which are patterns at different levels formed by the combination of neurons at the bottom of the brain. The brain's algorithm is to adapt to the environment to formulate a certain scoring matrix, above a certain score can continue to survive (the higher the score, the greater the probability of continuing to maintain), and then continue to form a high-dimensional pattern on this basis. The specific realization is the influence of various molecular networks and gene expression networks on the formation of synaptic dendrites, which can form a statistical level of operation at the level of probability. We can look at the effects of possible genes through certain genetic variations. Of course, experience is also a Bayesian algorithm.

On the basis of this probability matrix, the network has a certain stability, for example, after the left side of the brain is removed, the right hemisphere can partially take over its function, and the specific bottom layer is the formation of neuronal connection structure, that is, the high-dimensional pattern. Learning-experience formation-brain neuronal connection patterns.

The development of the brain, the recognition of various underlying features, and then the continuous ascending dimension traversal, and finally the ability to recognize complex patterns. This is a construction process from the bottom to the higher dimension, and the experience corresponds to the patterns of neuronal connections at different levels, all of which are high-dimensional structures. It can be observed with certain EEG, fMRI and other techniques, and the impact of memory changes on brain structure can be discovered.

The brain has no automatic mechanism, everything is based on learning, from genetic information, from real life information to form the final high-dimensional model.

The fixed point relationship formed by specific patterns, and the correlation between specific high-dimensional functions and specific brain regions.

The storage of memory, which is the basis of various high-dimensional hierarchical operations, can be understood by applying the concept of Turing machines. The invocation of any various variables is based on memory, and any different combinations can be linked by certain operations.

Chapter 6 Awareness

Consciousness, as part of the Copenhagen interpretation of quantum physics, is actually described as a macroscopic concept, we need to understand consciousness from the perspective of probability, and the observation it makes is essentially just a pattern recognition of patterns, which is the permutation and combination of certain information, which is essentially the emergence of a low-probability pattern, and then through the transmission of genetic information, we form a certain cluster, but compared to things outside this community, consciousness is a thing that is produced with a very low probability. Its specific underlying implementation mechanism is also the formation of various modules, which is common to the current program: starting from the underlying variables, different connection methods are equivalent to different operators, and then a set of logical operation systems can be built on this basis, so as to form a certain encapsulated module, and finally can form a certain high-dimensional structure through its selective combination, corresponding to various high-dimensional things we know (often difficult to understand) such as consciousness, memory, etc. This is often so low that we can't believe that it can happen and form such a delicate relationship, and we can only think of two aspects at the moment: 1. It is the various combinations of cosmic scales that attempt to make specific patterns emerge. 2 is that the probability is not as low as we think, that is, the combination is not completely random, but there is a set of mechanisms behind it that we cannot understand for the time being. Then we can accept that nature has a certain tendency, and even can accumulate experience, so that the probability of a particular combination occurring is smaller than that of others, that is, there is a certain clustering, then we can temporarily understand it as the power-law distribution of the network. To a certain extent, the freedom/randomness it reveals is non-existent.

The brain does not necessarily have specific areas that correspond to specific functions, but is regulated as a whole through the formation of relationships between multiple modules. This high-dimensional structure corresponds to the regulation of the whole body, and different activities correspond to different blocks, but the underlying layer is the transmission of information from neurons. To understand this high-dimensional process, our research needs to collect large-scale data and then identify certain patterns, otherwise it is inefficient to detect or apply certain treatments such as destroying specific areas of the cerebral cortex through the detection of diseases, i.e., extreme individuals, after all, the brain is dynamic and can have certain complementary functions. Therefore, it is necessary to understand from the bottom and then explore the pattern formed by its high-dimensional structure, that is, to see the brain as a collection of new code, we have to interpret the rules, and then we can program it ourselves. Neural networks are a new form of computer organization, which is different from the previous von Neumann storage computer architecture.

The deprivation of people's consciousness by anesthesia is actually a temporary disruption of the communication between the modules of the high-dimensional structure, and the hallucinations that may be produced by the use of various drugs are also the same. Of course, specific measures are the basis of our development. We need to find the immobility to understand this change.

Pain is also a selective expression of this high-dimensional structure. Essentially, it is the control of the flow of information to process different sensations.

The rapid processing of all kinds of information is the nature of the emergence of the subconscious underlying large-scale computing.

Free will is a high-dimensional structure that is able to drive brain activity and form certain activities. This relationship is like the relationship between the mind and the body. In fact, both general sensations and illusions are based on sequences of different expressions of specific high-dimensional structures, such as probability matrices. But to understand the world, we need to start from the bottom.

The phenomenon of separation is a validation of modular ideas, such as sensory separation. This is fundamental to our understanding of the complex activity of the brain.