SOMATIC NEUROSCIENCE PSYCHOLOGY ARCHAEOLOGY ASTRONOMY
Behavioral Psychology Biomechanics Movement Cognitive Science Computer Science AI Environmental Spatial Systems Neuroscience Physiology Sociology Group Dynamics Systems Theory Cybernetics Somatic Execution Layer Independent Testing Soma 1 Soma 2 Soma 3 Soma 4 Soma 5 Soma 6 Soma 7 Soma 8 Soma 9 Soma 10 Soma 11 Soma 12 Soma 13
MC SA IF Attentional Channel
Life Equation ( Free Will + Responsibility = Growth )***( Stupid + Lazy = Apathy ) Anti-Life Equation
The MC–SA–IF framework describes human behavior and cognition as the interaction of three system layers: Mechanical Consciousness (MC), the regulatory processes governing perception, attention, emotion, and action; Somatic Architecture (SA), the structured environments and embodied practices that shape those regulatory states; and Integrated Functioning (IF), a systems analysis framework used to examine how these layers interact, stabilize, and adapt. Together these components form a somatic systems model in which psychological and behavioral phenomena emerge from continuous feedback between nervous system regulation, bodily activity, and environmental structure. This framework provides a structural perspective for studying embodied cognition, somatic regulation, environmental influence on behavior, and the integration of physiological and psychological processes.
“Detailed explanations of the model are available in the Somatic Neuroscience and Psychology sections.”
“Related Research Domains”
List:
Embodied Cognition
Somatic Psychology
Autonomic Regulation
Environmental Psychology
Systems Neuroscience
Behavioral Synchronization
Author Context
I approach macro systems the way engineers approach physical systems: reduce, map, stress-test, rebuild. This site is a working lab, not a publication campaign. I’m not a think tank. I’m one person who reverse-engineered this from first principles and public data. Judge it on structure, not pedigree.
Each SOMA = a functional system you can measure, train, and test
Each SOMA = a functional system you can measure, train, and test
Phrase
Directed attention as a constrained pathway
Psych Mapping
Selective attention
Executive control network
Task-focused cognition
MC Variable
Signal selection / gating
SA Structure
Linear alignment (visual, cognitive, somatic)
IF Function
Noise suppression → signal isolation
Measurement
Reaction time
Error rate
Eye tracking stability
Claim being tested:
Human cognition, regulation, and conscious state can be modeled as a set of recurring functional modules, here organized as 13 SOMAS, each representing a distinct operational pattern linking:
MC = control, selection, initiation
SA = bodily and environmental structuring
IF = functional relation, translation, and system effect
Initial scientific positioning:
A functional classification system for measurable human cognitive-somatic operations.
Structure used for all 13:
Construct
Operational definition
Hypothesis
Population
Task / intervention
Measures
Predicted result
Why it matters
Construct
Directed attentional narrowing
Operational definition
Ability to constrain cognitive and perceptual resources along a selected line of task relevance while suppressing competing inputs.
Hypothesis
Participants placed into a linearized attentional condition will show improved signal selection and reduced distractibility compared to diffuse-attention controls.
Population
Healthy adults, n=40–80
Task / intervention
Two conditions:
Linear condition: straight-path walking, forward gaze, single-target response task
Diffuse condition: open posture, wide scanning, multi-source visual task
Measures
Stroop interference
Continuous Performance Task
eye tracking fixation stability
reaction time variability
EEG frontal midline theta if available
Predicted result
Linear condition improves attentional stability, lowers distractor error, and increases task precision.
Why it matters
This gives SN a clean entry into mainstream attention research.
This work is presented without imposition.
No attempt is made to direct belief or influence conclusion.
It is structured as information that can be:
examined
tested
validated
or discarded
based on measurable results.
I stand by the work as presented.
If it holds → it stands on its own
If it fails → it should be rejected
No protection.
No reinterpretation.
No revision to preserve the claim.
The responsibility here is not persuasion.
The responsibility is:
clarity of structure
testability of claims
openness to outcome
Validation does not belong to the author.
Take it apart.
If it breaks, good.
If it doesn’t, now you’ve got a problem worth looking at.
Behavioral Psychology Biomechanics Movement Cognitive Science Computer Science AI Environmental Spatial Systems Neuroscience Physiology Sociology Group Dynamics Systems Theory Cybernetics Somatic Execution Layer Independent Testing Soma 1 Soma 2 Soma 3 Soma 4 Soma 5 Soma 6 Soma 7 Soma 8 Soma 9 Soma 10 Soma 11 Soma 12 Soma 13
Translation: Neural signal selection network
System Role: Prioritizes task-relevant neural firing while suppressing competing inputs
Primary Variable: Signal-to-noise ratio (SNR)
Measurement Method: EEG (frontal theta), fMRI task contrast, eye-tracking stability
Expected Output: Reduced neural noise, increased task precision
Exercise Link: Linear gaze + single-target focus
Translation: Sensory prioritization pathway
System Role: Directs physiological resources toward task-relevant input
Primary Variable: Oculomotor stability / fixation control
Measurement Method: Eye tracking, blink rate, pupil dilation
Expected Output: Reduced drift, increased visual precision
Exercise Link: Linear gaze + fixed-point tracking
Translation: Selective attention system
System Role: Allocates cognitive resources to task-relevant information
Primary Variable: Attentional precision
Measurement Method: Stroop task, Continuous Performance Task (CPT)
Expected Output: Reduced distractibility, improved task accuracy
Exercise Link: Linear focus / single-task constraint
(This is output layer — observable behavior, not internal stateSoma 01 — Attentional Channel
Translation: Stimulus selection behavior
System Role: Directs observable focus toward relevant stimuli
Primary Variable: Task adherence / distraction rate
Measurement Method: on-task vs off-task behavior tracking
Expected Output: Increased task consistency, reduced distraction
Exercise Link: single-task behavioral constraint
(This is pure system mechanics — no human bias, just function)
Translation: Signal routing channel
System Role: Directs priority signal through system while suppressing noise
Primary Variable: Signal-to-noise ratio (SNR)
Measurement Method: input/output signal integrity analysis
Expected Output: Increased signal clarity, reduced interference
Exercise Link: single-channel constraint
(Execution systems, resource control, learning loops)
Translation: Task prioritization scheduler
System Role: Allocates compute resources to priority processes
Primary Variable: Task latency under load
Measurement Method: scheduling efficiency benchmarks
Expected Output: Reduced latency for priority tasks
Exercise Link: single-thread / priority lock execution
(This is movement, force, coordination — real-world physical outputSoma 01 — Attentional Channel
Translation: Movement targeting system
System Role: Directs body toward precise spatial target
Primary Variable: Movement accuracy
Measurement Method: target hit rate, trajectory deviation
Expected Output: Increased precision, reduced drift
Exercise Link: fixed-target movement drills
(Multi-agent systems — humans interacting as a system)
Translation: Group focus alignment
System Role: Directs collective attention toward shared objective
Primary Variable: attention convergence
Measurement Method: task alignment, shared focus tracking
Expected Output: reduced fragmentation, increased coordination
Exercise Link: shared task focus
(This is external structure — space, layout, environment as systemSoma 01 — Attentional Channel
Translation: Directed pathway / linear corridor
System Role: Guides movement and focus through space
Primary Variable: path adherence
Measurement Method: movement tracking, deviation from path
Expected Output: reduced wandering, increased directional flow
Exercise Link: straight-line navigation
Somatics is: (Execution Layer)
The implementation layer of all 13 Somas
Every Soma:
can be observed (behavior)
measured (science)
modeled (systems)
But only becomes usable when it is:
→ physically executed
This is the bridge that takes all 13 Somas
Converts them into repeatable exercises
Provides the diagnose → intervene → measure loop
theory
and real-world application
13 Soma Execution Structure
Each Soma follows:
Detection (diagnose)
Activation (exercise)
Measurement (result)
Soma 01 - Attentional Channel
Detection: scattered focus, high distraction
Activation: fixed gaze, single-target task
Measurement: improved task accuracy, reduced drift
If:
each Soma can be detected
each Soma can be activated
each Soma produces measurable change
Then:
SN is not theoretical — it is operational
IF is not claiming:
“this is how people should live”
IF is showing:
“this is how the system behaves when adjusted”
Behavioral Psychology Biomechanics Movement Cognitive Science Computer Science AI Environmental Spatial Systems Neuroscience Physiology Sociology Group Dynamics Systems Theory Cybernetics Somatic Execution Layer Independent Testing Soma 1 Soma 2 Soma 3 Soma 4 Soma 5 Soma 6 Soma 7 Soma 8 Soma 9 Soma 10 Soma 11 Soma 12 Soma 13
Neuroscience Full Spectrum Term Map * * * Somatics Full Spectrum Term Map
Mathematics of Somatics - Somatics Dynamics Framework - MC-SA-IF and Criticality
System Readiness & Integration:The IF Audit Toolkit
MC Measurement Kit (used for every intervention)
Somatic Development Trajectory Model
Pre-Visit - During-Session - Post-Visit *Calibrations*