The first observer {pre-observer} {semi-observer} had no space, no time, no intensity, and no quality. Semi-observer had semi-space and semi-qualities. Semi-observer had semi-feelings of self-awareness. It was like objectless meditation, blindsight, and attention without awareness.
Vector space can model observer and observations as integrated system {vector space and observer}. Coordinate origin is observer. Vector termini are observations.
Head and body rotate around centers. Vestibular, kinesthetic, and visual feedback makes motor centers into perceptual centers, which define observation point {body motions and observer}.
Brain is large and complex and can have internal circuit flows, one of which represents observer {circuit flows and observer}. Loops allow reverberations, feedback, and feedforward, to maintain processes. Observer and observed circuit flows interact.
Sensory and central neurons have electrochemical processes, have associative memories, and control motor neurons. Ganglia use neuromodulators, have procedural memories, and use statistical and vector processes to control motor-neuron sets. Brains are ganglia sets that use statistical and tensor processes to coordinate body, head, and limb motions. Vertebrate brains have perceptions and declarative memories and use nested processes [Hofstadter, 2007]. Self began with a central perception and behavior process {origins of self} that nests and controls other brain processes.
Algorithms can distinguish inside-body stimuli, as self, and outside-body stimuli, as non-self. Tightening muscles actively compresses, to affect proprioception receptors that define body points. During movements or under pressure, body surfaces passively extend, to affect touch receptors that define external-space points.
Brain can have resonating waves, one of which can represent observer {resonating wave and observer} {self-wave}.
Sensations occur in contexts (frames), which indicate spatial relations. One context is observer {frames and observer}.
Knowing {knowing, meaning} can be recognition or association.
property
Properties are about something measurable, such as location, time, intensity, or sense quality. Objects and events have properties. Properties have relative values. Perception measures property values while keeping property natures or types abstract and separate. Sensation measures values but also assigns property types and natures, so colors, sounds, and so on, have meaning.
category
Categories are object or event groups. Category objects share at least one property value. People can group objects and events to make categories (association). People can put objects or events into (previously memorized) categories (recognition). Categories have subcategories and supercategories.
meaning
Meaning {meaning, knowing} requires knowing something about property, not just property values. For example, meaning requires knowing something about red, not just intensity value.
meaning: value relations
Perception builds property-value series from repeated situations. Property-value sequences can reveal functions, such as x = x + 1, and other relations. Value changes (gradients or flows) and value-change changes (accelerations or forces) can have relations and reveal property-value functions. By remembering and comparing property values, brain can find property meaning by transforming to new properties that can be parameters, by associating properties to make categories, and by recognizing category members.
symbol grounding
Symbol systems give meaning to symbols. Property systems give meaning to property types. Symbols have grounding when they associate with spatial or temporal patterns. Property types have grounding when they have spatial or temporal patterns. Property types depend on symbol systems with grounding.
Perhaps, sense qualities derive incoming-stimuli receiving point, to define observing self {self and first sensation}. However, behavior is not sense qualities, and self seems complex.
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Date Modified: 2022.0225