Sunday, August 25, 2013

Mind, Soul, Brain, Human Behaviour: So Below

Note: The points and propositions mentioned are considered to have strictly mathematical implications and are, therefore, textual descriptions of mathematical equations, formula and statements.

  • Assumptions:
    • Nervous system is a wholesome network where different components interact and work with each other, and when considering the bigger picture, a separate component cannot be studied independently of others.
    • Human experience is a continuously-happening phenomenon within which the present and future states are very dependent on the past states.
    • The structure of the information processing within the brain is hierarchical.
    • All neural activities inside the brain are materialistic and possible to quantify and model. 
    • The significance of thresholds: low-level networks characteristics, and the effect they have in the functioning of higher-level networks. 
      Individual networks and the smaller groups they form are at equilibrium state until a certain level of stimuli causes them to excite and produce a different output. In the bigger networks, these points where the networks change behaviour can collectively act as thresholds that determine the functionality of their higher-level networks. In other words, thresholds are the limits which define and determine the functioning of neural networks.
    • Even though the circuitry inside the human brain has become optimized and evolved to fulfill certain goals and purposes, it still suffers from various materialistic limitations and functionality flaws. The latter is more evident in the higher level processing of information inside the brain. One could say that the circuitry is much more optimized and efficient for lower level information processing and the computation of motor skills related data.
    • The principle of neural structures within the brain is to essentially process the information already stored in the memory (all the appropriate information, including sensory, cognitive, etc.) with respect to the information received through the senses, and save the new results.
  The bottom line: The functioning of the brain is, to a large part, very materialistic and possible to model and explain. Any presumption about other natures of the functionality of the brain is a by-product of the way it functions.


  • A simple hierarchy:
    • Lower levels:
      • Motor activities and the corresponding information
      • Low-level processing of the information collected and received by the senses (touch, taste, smell, vision, auditory, etc.)
      • Bodily-related cognitive activities
    • Higher levels:
      • Emotions based on bodily reactions
      • Medium level cognitive activities
      • Emotions based on brain activities
      • Higher level cognitive activities (usually resulting in manifestation of behaviour)

  • The propositions:
    • The activity and functionality of an individual brain cannot be properly understood without considering the social, cultural, temporal and historical contexts in which it is utilized.
    • The individual brain’s general understanding of the world it perceives profoundly affects its general higher-level functionality.
    • Formation of each concept (whether it has a direct materialistic correspondent in the outside world or not, i.e., whether it is the ‘taste of ice cream’ or the ‘fairness of a judge’) within the brain is accompanied by the formation of a bias towards that concept.
      The bias is a function of bodily reaction towards that concept. Bias alters the result of future concept evaluations in: constructive-neutral-destructive ways. Bias can be defined or determined as a function of the size of its corresponding neural network(s).After lower-level processing, information is processed in a conceptual state. Various initial information gathered that is related to the same category is 'associated' with a concept, and then further classified. In the end, a single concept can have many different lower-level information associated to it.These concepts are collections of one or many group(s) of neurons. The size and formations of these groups can determine the 'bias' of the individual towards the concept. 
    • Emotions can be considered as functions of the feedback that is received from the organs by the brain. The bodily feedback is associated with a feeling or an emotion. The more the same stimuli invoke the same type of bodily response which eventually translates to the same type of emotion, the more refined and optimized body's response and the speed of the emotion's recognition and establishment and its subsequent effect back on the body.
    • The nature of the processes is supervised and unsupervised manipulation of the memory. The supervised manipulation requires a certain level of awareness which translates into a certain level of consciousness.
      Down on the lower levels, the way the brain
      performs the supervision is by controlling the direction and amount of blood flow to various parts within the organ.
    • The sequence in which the processed results of lower-level information processing in the brain are applied in higher-level information processing: Results from processing the information received by the senses, processed data related to motor behaviour, are combined in certain ways in the process of computing the higher-level states of the brain. 
    • Extreme forms of thoughts and behaviour are much more crucial and useful in understanding the functioning of the brain than the normal and common thought and behavioural patterns, since they act as “points of extrema”.
    • Human traits and characteristics are, in general, very universal. The differences are essentially the results of different local environments and habitual conditions.
    • The case for the uniqueness of human behavior: Humans choose one outcome at the point of acting and engaging in behaviour, they may consider a few options, but generally and in most cases, one is preferably chosen. This fact would have interesting mathematical implications in modeling human behaviour.