OUTDATED (Version 0.9) Systems Neurology (the only objective is My CAREER, only , Eng.EmadFaragHABIB)- Ver 0.9.pdf
1. Systems Neurology
Functions of the Human Brain
A Proposed Simplified Functional-Architecture of the Human Brain
Based on a Systems-Theory Perspectives
Systems Neurology Ver 0.9 May. 17th 2023 HABIB’s Complexity 3D Perspective Eng Emad Farag HABIB
Eng. Emad Farag HABIB
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2. Systems Neurology Ver 0.9 May. 17th 2023 HABIB’s Complexity 3D Perspective Eng Emad Farag HABIB
Please Note:
This Presentation is NOT a summary presentation from a
Professional Author at all !
But rather it is exactly the opposite !!
This Presentiation is Just “Draft Proposed Ideas” !!!!
Stated just to ease Ideas & Notions Discussions :
And it rises more questions than providing answers,
Intended to be used among those interested, specialists and/or
professionals.
If You happen to be scientifically interested in such “Inter-disciplinary” topic of science : you
will find such presentation useful . If this is not the case , you can simply skip it ( with Author’s
apology for any inconvenience )
( Apology: the PDF “one-page shift” problem: is still being tackled )
3. Systems Neurology Ver 0.9 May. 17th 2023 HABIB’s Complexity 3D Perspective Eng Emad Farag HABIB
Conclusion ! :
- Brain Systems-Neurology Links to the important notion of “Information” and to the
Information Theoretic Perspectives.
- Brain Functions Study : is much easier if we classified the Brain’s “Hypothetical
Constructs” into a 2 Dimensional “Conceptual Map” ! , based on Behavior vs
Dispositions. Notions like “Needs”, “Motivation”, “Generic Behavior”, and “Learned
Behaviors “ are amazingly clarified when stuffed on such 2-D Diagram.
- Some Recent Notable Researches entails the a/m 2 Perspectives: namely: PCT, CCN,
ADC, and the like.
- Furthermore: most Principal Brain Theories can be clarified when plotted on an “n-
Dimensional” Comparison Table.
- The Information Perspective can also be addressed via the “FCBPSS” and “VSCS”
Frameworks and Modelling Schemes .…
4. Systems Neurology Ver 0.9 May. 17th 2023 HABIB’s Complexity 3D Perspective Eng Emad Farag HABIB
Environ
(Nourishment,
Needs)
OTHERNESS
Functional-Architecture of the Human Brain: Systems Theory
3 Emotional/ 4 Cognitive/ 5 Afflictive/ 6 Social / 7 Volitional Functions : Threats & Regulators
ADAPTATION:
LTM
Knowledge, Information, Data
Beliefs
Habits
VII. Being Controller (Constructive Memory)
Instinctual
Algorithms
0. Temperature & Pain
1. Reflexes, Senses/ Awareness, Posture & Movement/ SomatoSensory
2. Survival
#1: #2 Physiological Fns: [Physical]
I. Basal Controller (BMR) :
II. Threats-Survival Controller (Innate) :
STM
Basic
Biological
Behaviors
Threats-Survival
Responses
I/P
Inputs
O/P
Outputs
Causality: Adaptation, Action, to-do
Functional
Abstraction
Layer/
Dominance/
Complexity/
to-be
Threats
Personal-DEVELOPMENT:
VI. Adaptation Controller(Cooperation)
7. VOLITON: ( incl. Character & Preferences )
#6: #7 Social-Volitional Fns: [(non)-Cognitive Dissonance]
4. Cognitive
3. Emotional
#3: #4 Emotional-Cognitive Fns: [Affective Action]
Moods
Feeling & Affective Constructs
MSG & Thinking Styles Portfolio Social
Action
Behaviors
Mental & Intellectual Constructs
Thoughts
Social Evironment
Social Facts
Reward System
Past Episodes ~Impressions
ReInforcement
Mental & Intellectual Constructs Feeling & Affective Constructs
III. Affective Controller :
Needs *Maslow, ERG, … +
5. Self Actualisation
4. Esteem
3. Affiliation
2. Safety & Security
1. Biological
6. Social Interaction: (Incl. Personality & Traits)
Social Norms
Personal
Development
Behaviors
Social Behavior – Concordance
( Self: Facts, Norms, and Culture)
Societal Culture
Judgment, Learning, Memory
Desires
Behavior:
[6 Domains]
[Bio/ Survival/ Generic/ Afflictive/ Social/ Developmental] Fns
Wisdom, Sagaciousness
#5 Affiliation Fns: [Friendship, Acquaintances] IV. Friendship Controller : Afflictive
Behaviors
Empathy
Conflict-of-Wills
Motivation
Personal
[
Developmental
/
Adapt
]
Balance
Behavior [ Inhibitory / Excitatory ] Balance
Skills, ,Tacit Knowledge
Generic
Behaviors
Perception
Consciousness
Language
Attitudes
Values
V. Generic Behavior Ctrl :
5. Systems Neurology Ver 0.9 May. 17th 2023 HABIB’s Complexity 3D Perspective Eng Emad Farag HABIB
Brain Theories & Frameworks: Plotted against "Principal Dimensions & Degrees" Compa
D imensio ns Str
LISTS notes
D1
2 C M X.3D .OR D D .H igherF unctio
No Constructs
Conditioning, Memory
Needs-Behavior, Consciousness, Affective/Intellectual
Cognitive Fns, Thoughts
Judgement Learning, Tacit Knowledge
Motivation MSG, Knowledge/ Info/ Data
Values, Beliefs
Adapting/ Development
Meta-
Motivation Loop: Social Dissonance
D1
1 C M X.3D .OR D D .H igherF unctio
No Framework, Unknown !
Seminals References [CNS.BA BA !!/ Maslow/ .. ], yet non-substantiated
str. Descriptive :
Anat-Fn Only
Causal Effective Fn
Human/Biologically Conformal [Perception,, ]
Universal Laws: Uniformity, Entropy
Dynamics Formula
time-domain Solution
Meta-
2-Factor theory 3-way connectivity
PCT [e(t)/ PCT11]FEP-AI (Free Energy Principle , Active Inference )
ODE, .. Analytical Closed-form time-Function
D1
0 C M X.3D .OR D D .H igherF unctio
No Formulation
Proposed, Articles, Amatuers
Text Narrative, Str Text
Diagrams Semi-Analytical Analytical Formulation Mathematical Formulation
Meta-
D9 C M X.3D .OR D D .H igherF unctio
Non-Quantized Macro-Constructs some quantitative-aspect (some form of it)
One Digit 2 digits 3 digits 4-9 digits 10-19 digits >19 digits
Maslow 5 needs
D8 C M X.3D .OR D D .H igherF unctio
Non-Structured Macro-Constructs Semi-Structured Macro-Constructs Fully-Structured Macro-Constructs
Meta-
6-phases of the Motivation Loop:
13 Thinking Styles consciousness: Brain's 4 states
D7 C M X.3D .C Z L.D egrees
No Correlation
Correlation Predictive Directed Flow TE Transfer Entropy
Causality: Direct, incl "Causally Effective Information"
FDBK (Circural Causality, Negative)
Positive FDBK (incl SOC)
(Causality w/o Correlation !!)
Meta- [Correl <>Predicti
(Causali
D6 C M X.3D .N T R C .M o dular
Models: [ Modula
Non-Structured SubSystems
structured-aspect (some form of it) Modular Hierarchical Integrative Meta-
D5 C M X.3D .N T R C .Other[N esting
Non-Elaborated SubSystems
elaboration-aspect (some form of it)Some Intricacy: Nesting/ Interconnections LNXK/ ..
Sensible Intricacy: Nesting/ Interconnections LNXK/ ..
Abundant Intricacy: Nesting/ Interconnections LN
Meta-
D4 C M X.3D .N T R C .D iversity (SP C
Non-Typed SubSystems qualitative-aspect (some form of it) One Type 2 types 3 types 4-9 types 10-19 types >19 types
D3 C M X.3D .N T R C .N umero sity
Non-Quantized SubSystems
quantitative-aspect (some form of it)
One Digit 2 digits 3 digits 4-9 digits 10-19 digits >19 digits
PCT 11 Levels 706 Brain Functions (BA) Neurons 10^11
D2 C M X.3D .EM R G2(A nat.)
Non-Emerged SubSystems
development-aspect (some form of it)
Some EMRG Sensible EMRG Abundant EMRG
Meta-
D1 C M X.3D .EM R G1(F n.), Incl SO
Non-Criticalized SubSystems
criticality-aspect (some form of it) Some SOC Sensible SOC Abundant SOC
Meta-
Maslow PCT FEP-AI
6. Systems Neurology Ver 0.9 May. 17th 2023 HABIB’s Complexity 3D Perspective Eng Emad Farag HABIB
- These a/m Slides : show that: Stuffing the well-known
“Hypothetical Constructs” : like * “Needs”, “Motivation”,
“Affective Behavior”, “Learned Behaviors “, Values, Thoughts,
Attitudes, Emotion, Moods,.. ] : in a 2D Structure: or in
an n-Dimensional Comparison Table: may be useful …
- End of Conclusion ! :
7. Systems Neurology Ver 0.9 May. 17th 2023 HABIB’s Complexity 3D Perspective Eng Emad Farag HABIB
TOC
- Citations
- Functions of the Brain
( Which presents ”Grand” Functions only, and are usually plotted on Whole-brain Anatomical-illustrations, suiting more being used for the
purposes of Pathology & Diagnosis )
- Brodmann’s Areas
- 2D Diagram : “To-Do” VERSUS “To-Be”
- Details of “Affective Behavior”: Motivation
- MOTIVATION: in Different Contexts
- ((PCT : Perceptual Control Theory ))
- FCBPSS Systems Model / VSCS / (( Very Draft Slides ))
- Abbreviations, Quotes, References, Versions.
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Executive Functions / Memory / Motor/ Emotional Regulation/ Olfactory
Attention/ visual/ sound/ Somatosensory/ Not well understood
Brodmann’s Areas : [ olfaction 34 / auditory 22, 41,42 / visual 17,18,19 / attention 7, 39 /
memory 21,20,37 , 36, 28, 23 / motor 4,6,8, 32 / somatosensory 3,1,2 , 5, 40, 43, 31 /
emotional 38, 11,12, 47,25 , 13 / executive 44,45, 46, 10, 9 ]
This Article focuses more on Higher Functions :
Hence, Areas-groups are prioritized as follows :
Executive Functions / Emotional Regulation/ Attention/
Memory / visual/ sound/ Olfactory/ Somatosensory/ Motor/ Not well understood
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Brodmann’s functions : 1+6 Fns : (Temperature, Pain) + [[[ Reflexes/ 5-Senses/ Awareness / Posture &
Movement / SomatoSensory / Higher (Emotions/Intellect) ]]]
Intellect:
Thinking Styles: MSG 13 : [ Legislative/ Executive/ Judicial/ Monarchic/ Hierarchic/ Oligarchic/ Anarchic/
Global (Abstract)/ Local (Concrete)/ Internal/ External/ Conservative/ Liberal ]
[[[Volition]]]
Individual Volition : 5: General + 4 [ Future/ Action/ Antagonism/ Result]
Intersocial Volition : 4: General + 3 [ Special / Conditional / Possessive Relations] (, incl. Behavior) .
{ links to: RIT }
17. Systems Neurology Ver 0.9 May. 17th 2023 HABIB’s Complexity 3D Perspective Eng Emad Farag HABIB
2D Diagram
For Brain Functions
“To-Do” VERSUS “To-Be”
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Causality: Adaptation, Action, to-do
Functional
Abstraction
Layer/
Dominance/
Complexity/
to-be
Needs *Maslow, ERG, … +
5. Self Actualisation
4. Esteem
3. Affiliation
2. Safety & Security
1. Biological
Behavioral [ Inhibitory / Excitatory ] Balance
Next Slides :
Proposed Idea of
Sketching The Brain Functions
In a 2D Diagram :
“To-Do X To-Be” !
Behavior X Needs
Action X Learn
Flow X Fountain
Cash X Credit
Causality X Dominance
( FCBPSS X Maslow )
Where the well- Known “Neurological Constructs “
Like [ Beliefs/ Values/ Attitudes/ Motives ]
are laid in a 2D Arrangement
that works as a “Conceptual Map”
Personal
[
Developmental
/
Adaptation
]
Balance
More Accurately:
Behavior X Needs = System (Oranism-Envirom)
( To-Do X To-Be ) = Essence
Action X Learn = Growth
Flow X Fountain = Homo sapiens
Cash X Credit = Personality, Character
Causality X Dominance = Shortterm, Longterm
( Complexity X Maslow ) = FCBPSS
19. Systems Neurology Ver 0.9 May. 17th 2023 HABIB’s Complexity 3D Perspective Eng Emad Farag HABIB
Environ
(Nourishment,
Needs)
OTHERNESS
Functional-Architecture of the Human Brain: Systems Theory
3 Emotional/ 4 Cognitive/ 5 Afflictive/ 6 Social / 7 Volitional Functions : Threats & Regulators
ADAPTATION:
LTM
Knowledge, Information, Data
Beliefs
Habits
VII. Being Controller (Constructive Memory)
Instinctual
Algorithms
0. Temperature & Pain
1. Reflexes, Senses/ Awareness, Posture & Movement/ SomatoSensory
2. Survival
#1: #2 Physiological Fns: [Physical]
I. Basal Controller (BMR) :
II. Threats-Survival Controller (Innate) :
STM
Basic
Biological
Behaviors
Threats-Survival
Responses
I/P
Inputs
O/P
Outputs
Causality: Adaptation, Action, to-do
Functional
Abstraction
Layer/
Dominance/
Complexity/
to-be
Threats
Personal-DEVELOPMENT:
VI. Adaptation Controller(Cooperation)
7. VOLITON: ( incl. Character & Preferences )
#6: #7 Social-Volitional Fns: [(non)-Cognitive Dissonance]
4. Cognitive
3. Emotional
#3: #4 Emotional-Cognitive Fns: [Affective Action]
Moods
Feeling & Affective Constructs
MSG & Thinking Styles Portfolio Social
Action
Behaviors
Mental & Intellectual Constructs
Thoughts
Social Evironment
Social Facts
Reward System
Past Episodes ~Impressions
ReInforcement
Mental & Intellectual Constructs Feeling & Affective Constructs
III. Affective Controller :
Needs *Maslow, ERG, … +
5. Self Actualisation
4. Esteem
3. Affiliation
2. Safety & Security
1. Biological
6. Social Interaction: (Incl. Personality & Traits)
Social Norms
Personal
Development
Behaviors
Social Behavior – Concordance
( Self: Facts, Norms, and Culture)
Societal Culture
Judgment, Learning, Memory
Desires
Behavior:
[6 Domains]
[Bio/ Survival/ Generic/ Afflictive/ Social/ Developmental] Fns
Wisdom, Sagaciousness
#5 Affiliation Fns: [Friendship, Acquaintances] IV. Friendship Controller : Afflictive
Behaviors
Empathy
Conflict-of-Wills
Motivation
Personal
[
Developmental
/
Adapt
]
Balance
Behavior [ Inhibitory / Excitatory ] Balance
Skills, ,Tacit Knowledge
Generic
Behaviors
Perception
Consciousness
Language
Attitudes
Values
V. Generic Behavior Ctrl :
20. Systems Neurology Ver 0.9 May. 17th 2023 HABIB’s Complexity 3D Perspective Eng Emad Farag HABIB
Notes
1- The Constructs of “INTERFACE” : Are the Marginal Constructs related to the
Organism/Environment Borderline region = those constructs that directly related to the
organism’s Observed Behavior.
Marginal Constructs are 5: [ Perceptions/ Consciousness/ Language/ Attitudes / Values ] : and
are marked by a “Gray” colored background in the diagram.
2- Mental & Intellectual Constructs : incl. Conceptual Constructs.
3- AKAS for some Notions : Instinctual Algorithms = Genetic Endowment = .. /
21. Systems Neurology Ver 0.9 May. 17th 2023 HABIB’s Complexity 3D Perspective Eng Emad Farag HABIB
Next Slides :
Details of “Affective Behavior”
Reward System : Affective Behavior : The Motivation Process :
Motivation Process 5 Diagrams : [ Internal/ External/ Both/ Both (detailed) / Akas! ]
22. Systems Neurology Ver 0.9 May. 17th 2023 HABIB’s Complexity 3D Perspective Eng Emad Farag HABIB
Search Choice Enact
Experience
Reassess
Behavior
Need
(as a Drive)
“Affective Behavior”
Aka: The Motivation Process (6)
Diagram #1: INTRNALS: Intra-Motivational Constructs : 6
Items :
[ Need (as a state) / Search (for Remedial Actions )
Choice (Action Selection)/ Enact (Implementation)/
Experience (Experiencing Consequences) / Reassess (Reinforcement) ]
Motivation details : [ Need/ Search/ Choice/ Enact/ Experience/ Reassess ]/ draft schematic
Needs
23. Systems Neurology Ver 0.9 May. 17th 2023 HABIB’s Complexity 3D Perspective Eng Emad Farag HABIB
Need
[ Maslow/ ERG/ ..]
Moods
“Affective Behavior”
Aka: The Motivation Process
Behavior / Action
Regulators , Controllers
Needs / Behaviors
Diagram #2: EXTRNALS: Extra-Motivational Constructs : 4
Groups:
[ Input (needs) / Output (Behavior + Learned B.)
Affected By (Cognitive Controllers)/ Affects (Emotions, Moods + Attitudes)]
Motivation details : [ Need/ Search/ Choice/ Enact/ Experience/ Reassess ]/ draft schematic
Cognitive, Affective, and Volitional Constructs
Emotions
[ Positive/ Negative ]
Attitudes
Learned Behavior(s)
[Reinforce/ Avoid ]
24. Systems Neurology Ver 0.9 May. 17th 2023 HABIB’s Complexity 3D Perspective Eng Emad Farag HABIB
Moods
Behavior / Action
Motivation details : [ Need/ Search/ Choice/ Enact/ Experience/ Reassess ]/ draft schematic
Emotions
[ Positive/ Negative ]
Attitudes
Learned Behavior(s)
[Reinforce/ Avoid ]
Search Choice Enact
Experience
Reassess
Need
(as a Drive)
Need
[ Maslow/ ERG/ ..]
Regulators , Controllers
Needs / Behaviors
Cognitive, Affective, and Volitional Constructs
Diagram #3: BOTH : INTRA & EXTRA -Motivational Constructs:
25. Systems Neurology Ver 0.9 May. 17th 2023 HABIB’s Complexity 3D Perspective Eng Emad Farag HABIB
Motivation details : [ Need/ Search/ Choice/ Enact/ Experience/ Reassess ]/ draft schematic
Search Choice Enact
Experience
Reassess
Behavior
Need
(as a Drive)
Emotions
[ Positive/ Negative ]
Cognitive, Affective, and Volitional Constructs
Learned Behavior(s)
[Reinforce/ Avoid ]
Needs
(as a Structure)
[ Maslow/ ERG/ ..]
C1: Need
Exists?
[ Y/N ]
C2: Behavior
Fulfilled the Need?
[ Y/N ]
C4: Behavior
Efficacy?
[ Effective / Ineffective ]
C3: Need
Urgency/ Importance
Satisfied
[ Y/ N ]
Causality: Adaptation, Action, to-do
Functional
Abstraction
Layer/
Dominance/
Complexity/
to-be
Behavior [ Inhibitory / Excitatory ] Balance
Personal
[
Developmental
/
Adapt
]
Balance
Moods
C5: Need
Necessitates
Caged-Emotions ?
[ Y/ N ]
Attitudes
This is NOT “Graphics” nor “Art” , but “Systems-Neurology” :
This is NOT a Graphical Piece of Art, with regular and equally-spaced items ! ,
rather: Items are arranged as-per the a/m “2-D Perspective” .
Abbrev. : C = “Controller, Regulator”
Diagram #4: BOTH (detailed): INTRA & EXTRA -Motivational
Constructs :
Learned Behavior(s)
26. Systems Neurology Ver 0.9 May. 17th 2023 HABIB’s Complexity 3D Perspective Eng Emad Farag HABIB
Search
Remedial Actions ,
Alternatives, Ways
Certain Outcomes Attractive
Choice,
Goal-directed Behavior,
Will, Intentions
Action Selection
Enact,
Implementation
Experiencing
Probing :
Behavior Consequences
Reassess,
Reinforcement
Feedback
Behavior/ Actio
Need
(Desire/ Tension/ Drive )
Felt-Deprivation
Emotions
[ Positive/ Negative ]
[ Happiness: ~2: Pride, Joy / Non- : n-emotions ]
Cognitive, Affective, and Volitional (Existing) Dispositions / (observed) Constructs
[Judgment ]
Reasoning, Judgment, Perceptions/
Beliefs, Concepts / Values, Morals//
Moods and Emotions Affects, Emotions//
Will
Learned Behavior(s)
Past Episodes
[Reinforce/ Avoid ]
Needs
(as a Structure)
Wants / Dreams/ Interests
4 CONTENT + 3 PROCESS + 4 INFORCEMENT Theories
C1: Need
Exists?
[ Y/N ]
C2: Behavior
Continue/ Cease
[ Y/N ]
C4: Behavior
Reward/ Punishment (Conflict)
C3: Need
Satisfaction/ Dissatisfaction
Tension/Drive Reduced?
Extent of S.
[ Y/ N ]
Moods = Longterm Emotions-Abstraction
C5: Need
Necessitates
Behavioral Apathy
[ Y/ N ]
Attitudes = meta Caged-emotions ~ Behavioral Apathy
Diagram #5: BOTH: INTRA & EXTRA -Motivational Constructs : AKAS
( with apology for smaller-font )
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MOTIVATION: in Different Contexts: 20230400
MOTIVATION: in Different Contexts : Motivational Processes 6: [ Need / Search / Choice/ Enact / ~Experiencing / Reassess ]: 20230400
Apology: "Sparse-table = Obligatory SmallFonts" !
A: Motivation:
Psychology-Context:
1 2 3 4 5 6
Need Search Choice Enact Experience Reassess
Akas1 (Common) Desires Alternatives/
Remedies
Will Implement Experiencing
(Rewards vs
Punishment)
Reinforcement
Inbetweens!, Details Inclination? / Tentative
Action
B: Motivation: Business-
Context: Employee
4 Steps 4: Goal (Wants) (~Attitude?) 1: Effort 2: Performance 3: Reward
Inbetweens!, Details "Goal-
directed
BHX"
Opportunity ? [ Abilities / OBJECTIVE
Performance Evaluation System
] // Competence //
Involvement // Mobilization,
Participatory // Devotion ,
Confidence in Others
Performance
Evaluation
Criteria
Dominant
Needs
By?, Action By Whom? DIYK Employee-
Environ
Employee Workplace
setting , Work-
Environ
Company,
Administration
C: Motivation: Business-
Context: Company
3: [Expectancy,
Instrumentality, Valence]
1. Expectancy 2. Instrumentality 3. Valence
Employee Queries Can I ACHIEVE the
desired level of
Performance?
What work
OUTCOMES will
be received as
a result of the
Performance?
How Highely do
I VALUE Work
outcomes?
more Motivation = E x I x V Match [ Needs -
Rewards ] :
Employee-
needs vs
Company-
Rewards
28. Systems Neurology Ver 0.9 May. 17th 2023 HABIB’s Complexity 3D Perspective Eng Emad Farag HABIB
Motivation details : [ Need/ Search/ Choice/ Enact/ Experience/ Reassess ]
Notes :
Affective Behavior : There is also Other (Advanced) Cases :
[ Ultimate-Motivation / Behavior Change / Cognitive Dissonance ]
* How to “motivate yourself” / How to plan a change of Behavior / How to eliminate Cognitive
Dissonance ]
#1: 6 Means to achieve it : [[ Stay Positive / Create Goals / Visualize {future} Success / Keep
Good company / Track Your {previous/ongoing} Success / Remember why {what motivates} ]]
, Ref: “www.HolisticLifeCoaching.Org”
DRAFT: Basic Info :
~ Behaviors List ( Listed by Percent ToBe.vs.ToDo !!, “%” ) : [ Survival Mode (Innate, 0%)/
Affective-Behavior Mode (50%), a/m Diagrams / “Ultimate-Motivation” Mode (70%) /
Behavior-Change Mode (90%) / Cognitive-Dissonance Mode (95%) ]
Noting: the notion of “ToBe.vs.ToDo” here : in the sense of To gain more “CLTM, Learned, .. “ ( not “to survive” ) .vs. “To Voluntary do” (
not to “innately do” ) … 0414
The Organism-Environment System-Element : the “Environment” was skipped to avoid
complicating the diagram .
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(( PCT : Perceptual Control Theory ))
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Our Brains
Tackles ANY Perception Process
in the Following Order
( Starting from Level 1 “down” to Level 12 “up” )
31. Systems Neurology Ver 0.9 May. 17th 2023 HABIB’s Complexity 3D Perspective Eng Emad Farag HABIB
(( PCT : Perceptual Control Theory ))
PCT : in Narrative Format: Living Creatures Brain is
organized in a very Logical way to give it the ability to
deal effectively with a varying environment. Human
Brain organizes its “Neuronal Populations” in the
following way to be able to deal effectively with such
variations :
FIRST The Human Brain ( the “Percipient” ) Collects all
possible easy information (Sensory Signals) from the
Environment that relates to some “Perceived Object” :
then collects 4 other important information,
then the Percipient Brain SECOND uses these 6 Info to
reach 3 logical and Rational conclusions: ( starting by
“Classifying” or Classing the Object),
then the Percipient Brain THIRD engages in some final
higher Functions related to its own environment :
seeking “Guiding Principles” that possibly govern the
situation , seeking counter-manipulation, in addition to
pursing conformality with the Whole Cultural system.
At the Neuronal Level: the Living Creature achieves all
this by having its “Actuating Signal” equal to the
Difference between Two Signals : ( The Reference S. –
The Perception S. ), rather than ( Reference S. –
Output-Feedback S. ) in non-living systems.
# PCT Level
(Order)
Name
~Survival
Context: Links
To :
Perception
PARTY
Examples
(12)
System
Concepts
Conformity
Percipient/
Environ-
"Systems"
Physics, Government
(11) Conflict Malignancy
~Object
.Rivalry
Manipulation
10 Principles Guidance
Percipient/
Environ
the precept “honesty"
9 Programs
Contingencie
s
Percipient/
Environ
choosing a menu item,
driving to a venue
8 Sequences Action Percipient
Recipe steps, map
directions
7 Categories
Species
{ Biology
Object/
Class
Generalization,
abstraction, analogy
6 Relationships
~Prepositions
/ Interiors
Object/
Environ
Under, inside, adjacent,
equal
5 Events Hostility
~Object
.Hostility!
Expansion / O. Changing
Form or Flow
4 Transitions Threat
~Object.
Potentiality
Rising, rotating
3 Configurations Pattern
Object.
Configuration
Extent of Limb-Bend,
Weather, Road Strait &
Narrowness
2 Sensations Quality Signal
Color Green,
cantaloupe odor
1 Intensities Scale Signal Brightness, loudness
32. Systems Neurology Ver 0.9 May. 17th 2023 HABIB’s Complexity 3D Perspective Eng Emad Farag HABIB
#
PCT Level
(Order)
~Survival
Context: Links
Quotes
More Examples
12 Our Brains Tackles ANY Perception Process in that Order : from 1 to 12
(12)
System
Concepts
Conformity
A good system shortens the road to the GOAL
( Orison Swett Marden )
Participation in gatherings/ Social Role / Tax
paying? /
(11) Conflict Malignancy
" There is No rampart that will hold out against MALICE "
( Moliere )
Peril-type3: Rivalry / Dirty Competition / Sport
Wrestles/ Malignant & Irrational Personalities /
Manipulative & Submissive Control Relations/
Son is playing sick to push return home quickly /
10 Principles Guidance
" The Value of a PRINCIPLE is the number of things it will
explain "
( Ralph Waldo Emerson )
Adequate Sport, Good Fitness/ Honesty and
Fidelity / Being On-time vs being Late / ATM
withdraw limits ! / ..
9 Programs Contingencies
“The more INFORMED you are, the less arrogant and
aggressive you are”
(Nelson Mandela)
Car Problem/ Computer fault troubleshooting/
Job Interview/ Sales Plan
8 Sequences Action
"Don't learn SAFETY by accident"
{ Jerry Smith )
Reactions to a sudden wind storm / improvised
tactical solutions to sudden small problems /
routine dressing undressing/ ..
7 Categories
Species
{ Biology
Context }
"It is Human Nature to instinctively rebel at OBSCURITY or
ORDINARINESS"
( Taylor Caldwell )
Types of Berries, Sparrows, Sharks, ..
6 Relationships
~Prepositions/
Interiors
The MULTITUDE of sheep frightens not the wolf
( Unknown )
Business Firm Intra (Internal) Relationships/
caged wild animals/ Fruit at tree-top
5 Events Hostility
"Once HARM has been done, even a fool understands it "
( Homer )
Peril-type2: Wild Animal, Forest Fire (mass), ..
4 Transitions Threat
Life is the DYNAMIC, Creative Edge of Reality
( Eric Parslow )
Peril-type1: a Baseball , a Frisbee, ,,
3 Configurations Pattern
Mouse PERCIEVES cat as a Lion
( Unknown )
Forest landscape/ venue map
2 Sensations Quality
“NOT everything that can be counted counts,
and NOT everything that counts can be counted.”
( Albert Einstein :1879-1955 )
Colors, Sounds, Odors/ (Normal) Weather
1 Intensities Scale
COMPARE apple to apple
( Unknown )
Apples count, Fruit Weight/ Temperature
33. Systems Neurology Ver 0.9 May. 17th 2023 HABIB’s Complexity 3D Perspective Eng Emad Farag HABIB
Hierarchi
cal level:
PCT Level
(Order)
Examples Type of perception Bill Powers' Campfire
Ex.
McClelland (2011)
(12)
Eleventh
Order
System
Concepts
Physics,
Government
Sense of organized
unities
enriching marriage by
enjoying time together
~ Gray-scale? : ~How % "Conformal" ?
(11)
0 Conflict Manipulation Conflict-of-Wills
Manipulation
( Person X had put water
on coal ! / Phone-caller Y
~ Gray-scale? : ~How % "Manipulative"
?
10
Tenth
Order
Principles the precept
“honesty"
Guiding heuristics a nice evening ~ Gray-scale? : ~How % "Principled" ?
9
Ninth
Order
Programs choosing a menu
item, driving to a
Networks of
contingencies
if no bubbling water,
more heat
Discrete: and "the whole of the
sequence is either completed or not" /
8
Eighth
Order
Sequences Recipe steps, map
directions
Serial orderings bigger fire, boiling water/
hot coffee
Discrete: and "the whole of the
sequence is either completed or not" /
7
Seventh
Order
Categories Generalization,
abstraction, analogy
Class memberships sputtering vs roaring
campfire
Discrete, but changeable / symbols ..
6
Sixth
Order
Relationships Under, inside,
adjacent, equal
Co-variations lots of kindling, near
frame
increasingly Discrete {Digital.Binary}
5
Fifth
Order
Events Expansion / O.
Changing Form or
Temporal
segmentations
stoking, placing firewood increasingly Discrete {Digital.Binary}
4
Fourth
Order
Transitions Rising, rotating Paths, rates of change flickering Contrasts Scalar {Analogue} variables
3
Third
Order
Configuration
s
Extent of Limb-
Bend, Weather,
Collections of
attributes
fire vs unburnt wood Scalar {Analogue} variables
2
Second
Order
Sensations Color Green,
cantaloupe odor
Attributes, weighted
sums
yellow, crackling Scalar {Analogue} variables
1
First
Order
Intensities Brightness, loudness Magnitudes, amounts Brightness Scalar {Analogue} variables
34. Systems Neurology Ver 0.9 May. 17th 2023 HABIB’s Complexity 3D Perspective Eng Emad Farag HABIB
A Proposed Opinion : Some PCT : Perceptual Control Theory ”Missing Layer?”
A higher levels Perception Layer of ( Conflict of Wills ) ? Very Draft Notes: 0427
“... While many computer demonstrations of principles have been developed, the proposed higher
levels are difficult to model because too little is known about how the brain works at these levels.
Isolated higher-level control processes can be investigated, but models of an extensive hierarchy of
control are still only conceptual, or at best rudimentary … ”
( Ref: wikipedia PCT )
A Missing Perception Layer of ( Conflict of Wills )
= Perception of some Adversary that is beyond ( Threat and Hostility )
= Perception of a “Manipulative” Disturbing Object !
= The Percipient perceives the Error Signal E (= R – P ) as the Difference Signal between : the Reference
Signal & the Disturbance stemming from an (Intentionally, Deliberately, Willing) (Counter ,Anti, Rival)
Object
= Comparing ( Output Behavior ) to the ( Already-learned Behaviors ) = the “Reassessment Signal”,
ReInforcement in Motivation Theory : indicates the existence of some “Manipulative” Disturbance.
= A Situation of (Self-organized Criticality ) in Complexity Theory
= Hence follows: the well-known Motive for the Emergence of a new Abstraction Layer (similar to what
happens in the Development & Abstraction of all levels )
35. Systems Neurology Ver 0.9 May. 17th 2023 HABIB’s Complexity 3D Perspective Eng Emad Farag HABIB
VIMP:
"Self-Organized Criticality" (SOC )
SOC is the Neuronal State that “Generates” the Abstraction Layers
[ In other words: The Definition of a “New” Layer or Order in the PCT Theory: is the Creation of a
New Abstraction Layer by/of Neurons, to be able to “Cancel, Mitigate, Compensate, nullify,
neutralize” the SOC Neuronal State ]
Next Slide :
Hence, elaborating the SOC Process for the 11-Orders (Levels) indicates that a “Manipulation Layer”
is missing , without which: ALL the lower 10 levels will be permanently prone to Malice and
Manipulation as the whole System is unable to achieve its Goals amid having its “Perceptual
Control” is being “Controlled” !
The Slide Details (at the rightmost column) :
The possible “ERRORS” or Criticality at each Perception Level which
eventually Causes the Brain to Grow …
36. Systems Neurology Ver 0.9 May. 17th 2023 HABIB’s Complexity 3D Perspective Eng Emad Farag HABIB
PCT: Advanced Aspects for each Level : including "ERRORS" or Misperceptions
PCT Level
(Order)
Name
~Survival
Context: Links
To :
Perception
PARTY
ERRORS: Misperception Possibilities ( =Error SubTypes ) [ S.=Signal,
O.=Object, P.= Percipient , E. =Environment, Prx = Perception]
notes
(12) System Concepts Conformity Percipient/ Environ-"Systems" - P., E. (Over)-Selfish
- P., E. Frenzied, chaos
- P., E. Alien
0
(11) Conflict Malignancy ~Object
.Rivalry
- (O,P) Benign Object (towards P.)
- (O,P) Unintentional Disturbance
- (O,P) Non-Malignant Behavior
- (O,P),E. P. gets most info from O. (Only)
TODO Q
10 Principles Guidance Percipient/ Environ - P. Anomalous, Unruled, lawless
- P. Norms violating/ Lawbreaking
9 Programs Contingencies Percipient/ Environ - P. Haphazard, unplanned, ad hoc Actions
- P. Incorrect Plan
- P. Unanticipated Contingencies
Conting
8 Sequences Action Percipient - P. Inaction (vs Dread)
- P. Incorrect action
"And pr
7 Categories Species
{ Biology Context }
Object/
Class
- O. Ambiguity: Different "Set" (Uncertainity.hard)
- O. Fit, Conformal (vs Misfit)
Guilford
6 Relationships ~Prepositions/
Interiors
Object/
Environ
- O. Isolated
- O. Non-Related, Non-Contained
- O., E. Not Grouped, No Covariance, No Plot!
5 Events Hostility ~Object
.Hostility!
- O. Solid, firm
- O. Stable, robust
- O. Non-aggressive/ Non-wild/ friendly
4 Transitions Threat ~Object.
Potentiality
- O. Static, status-quo
- O. Non-harming/ Neutral
3 Configurations Pattern Object.
Configuration
- O. Vagueness: Different "Item" (Uncertainity.easy)
2 Sensations Quality Signal - S. Different: [Variety, sort, nature] prx
1 Intensities Scale Signal - S. unusual/uncommon Multiple/Mass O.
- S. Disproportionate prx
Intensit
37. Systems Neurology Ver 0.9 May. 17th 2023 HABIB’s Complexity 3D Perspective Eng Emad Farag HABIB
VIMP:
"Self-Organized Criticality" (SOC )
* SOC is the Neuronal State that “Generates” the Abstraction Layers +
( Includes 3-Tables in 3 Slides )
1- The 11 Perception Levels vs Introductory (Summary) Aspects
of Misperception
[ #1 Errors (Possibilities)/ #2 Briefs / #3 Neuronal Level Issues]
2- 11 Perception Levels vs 3 Basic Aspects of Misperception
[ #1 Errors (Percipient)/ #2 Errors (Interface)/ #3 Reality]
3- Perception Levels vs 3 Other Aspects of Misperception
[ #4 Consequences/ #5 Learned Lessons/ #6 Emerged Layer]
38. Systems Neurology Ver 0.9 May. 17th 2023 HABIB’s Complexity 3D Perspective Eng Emad Farag HABIB
Misperception : ERRORS = Misperception Possibilities / DEVELOPMENTAL : in Weeks / Notable BRIEF Extracts ( Concepts )
# PCT Level
(Order)
Perceptio
n
PARTY
ERRORS: Misperception Possibilities ( =Error
SubTypes ) [ S.=Signal, O.=Object, P.=
Percipient , E. =Environment, Prx =
Wee
ks:
Nor
Notable Brief Extracts Neuronal Level
[ Information Carriers for CONTENT ]
(12)
System
Concepts
Percipient/
Environ-
"Systems"
- P., E. (Over)-Selfish
- P., E. Frenzied, chaos
- P., E. Alien
75
System Concepts … Conformity … Organized unities ..
Brain Areas of: Identify social emotions and Moral
Judgment .
Abstraction of SYSTEM, SOCITY
, Links to: Identify social emotions and Moral Judgment Brain Areas
(11)
Conflict ~Object
.Rivalry
- (O,P) Benign Object (towards P.)
- (O,P) Unintentional Disturbance
- (O,P) Non-Malignant Behavior
- (O,P),E. P. gets most info from O. (Only)
?
Conflict .. Malignancy .. Perceived "O. Rivalry" ..
Counter-manipulation .. "Information Pyramid" .
Abstraction of COUNTER-MALIGNANCY . Neuronal Populations exhibits
Coordinated "Interaction" // possibly utilizes all the 6 levels of "Information
Pyramid" , many Neuronal networks and "maps" ?
10
Principles Percipient/
Environ
- P. Anomalous, Unruled, lawless
- P. Norms violating/ Law breaking 64
Principles ... Guidance … Conceptual constructs and
Moral Judgment .
Abstraction of PRINCIPLES
, Links to: Conceptual constructs and Moral Judgment Brain Areas
9
Programs Percipient/
Environ
- P. Haphazard, unplanned, ad hoc Actions
- P. Incorrect Plan
- P. Unanticipated Contingencies
55
Programs ... Planning .. Situation Contingencies ... Brain
Areas of : Planning .
Abstraction of Action PLANNING,
( Links to Brain Areas of Planning )
8
Sequences Percipient - P. Inaction (vs Dread)
- P. Incorrect action 46
Sequences ... Action … P. Responses .. Brain Areas of:
Vasomotor planning, Motor planning and execution .
Abstraction of SensoryMotor Areas, to enable MOVEMENT, Vasomotor planning,
Motor planning and execution, Speech, Further Sensing?, ..
7
Categories Object/
Class
- O. Ambiguity: Different "Set"
(Uncertainity.hard)
- O. Fit, Conformal (vs Misfit)
37
Categories.. Class .. O. "Set" ..Ambiguity ..
Inaccuracy..Importance of "Labels" .
Abstraction of Planning to infer CLASS,
( Incl. Importance of Language and "Labels")
6
Relationships Object/
Environ
- O. Isolated
- O. Non-Related, Non-Contained
- O., E. Not Grouped, No Covariance, No Plot!
No Collaborative Efforts
26
Relationships ... ~Prepositions ... Context .. O.Environ ..
O.Internal & SubSystems
- Abstraction to infer RELATIONSHIPS, ( Includes Filtering Object/Environment,
Relationships, Companionship types, .. )
5
Events ~Object
.Hostility!
- O. Solid, firm
- O. Stable, robust
- O. Non-aggressive/ Non-wild/ friendly
19
Events .. Temporal Segmentations .. Perceived Prospect
of "O. Hostility" hence pursues non Aggressive .
Abstraction : for EPISODES ( Incl. Episodic Memory ) , HOSTILITY, ( Incl.
Semiautonomous SubSystems )
4
Transitions ~Object.
Potentiality
- O. Static, status-quo
- O. Non-harming/ Neutral 12
Transitions .. Paths .. Perceived Prospect of "O.
Potentiality" hence pursues Evading Threats .
Abstraction of Topographical Mapping to infer RATES
- Abstraction to infer POTENTIALITY(incl. Routing and gating of information flow /
Rates mandates “Coherent firing”of Neurons )
3
Configuration
s
Object.
Configuration
- O. Vagueness: Different "Item"
(Uncertainity.easy) 8
Configuration.. Pattern .. O. "Item" ..Vagueness ..
Imprecision.. "Combinatorial" Storage .
Abstraction: where Patterns are stored in "Combinatorial PATTERN Coding" ( Incl.
Literal "SOC" @ Information.Reconstruction of images / =meta AP, Fluctuations, ..
)
2
Sensations Signal - S. Different: [Variety, sort, nature] prx
5
Sensations … Quality .. Brain Areas of: Sensory
Association Areas .
SENSORY Association Areas
1
Intensities Signal - S. unusual/uncommon Multiple/Mass O.
- S. Disproportionate prx 0
Intensities … Scale … Quantity Prx . First (PRIMITIVE) Abstraction
39. Systems Neurology Ver 0.9 May. 17th 2023 HABIB’s Complexity 3D Perspective Eng Emad Farag HABIB
Misperception : #1: Percipient (Inference) Errors / #2: Percipient-Object (Interface) Errors / #3: Reality, Actual, ..
# PCT Level
(Order)
Name
ERRORS: Misperception Possibilities (
=Error SubTypes ) [ S.=Signal, O.=Object,
P.= Percipient , E. =Environment, Prx =
Perception]
#1. Percipient ERRORS #2. Interface ERRORS #3. While Actual/reality was/is--
(12)
System
Concepts
- P., E. (Over)-Selfish
- P., E. Frenzied, chaos
- P., E. Alien
- Errors of proceeding with NON-CONFORMAL Unity - Non-cooperative, Non-Collaborative Actions/Plans.
- Disorganized Unities with the System ( VS Complexity Theory
"Self-organized Criticality": Specialty-Cooperation )
- Non-conformal, Unfitting,
P., E.: P. can be more conformal to the social
system..
(11)
Conflict - (O,P) Benign Object (towards P.)
- (O,P) Unintentional Disturbance
- (O,P) Non-Malignant Behavior
- Errors of Undetected Malignant INTENTIONS.
- Errors of Undetected MANIPULATION of P.
Behaviors.
- NAÏVE & BENIGN evaluation of O. Rivalry
- Errors of Single Info Source ( from O. only)
O. Practices Malignancy and Manipulation
10
Principles - P. Anomalous, Unruled, lawless
- P. Norms violating/ Law breaking
- Errors of proceeding with UNGUIDED or
Ungrammatical Plans.
- Unguided/Unprincipled Plans
- ~Norms-violating (Ungrammatical) Plans
P. can be guided by Principles
9
Programs - P. Haphazard, unplanned, ad hoc Actions
- P. Incorrect Plan
- P. Unanticipated Contingencies
- Errors of : INCORRECT CHOICE of plans / of
inadequate plans/ of ~limited Contingencies
Consideration
- Mistaken preference of Unorganized Actions (plan) , links to
[prx & volition]
- Mistaken choice of Plan
- Unanticipated (Unaccounted for) Contingencies
P. Situation mandates a correct Plan
8
Sequence
s
- P. Inaction (vs Dread)
- P. Incorrect action
- Errors of INCORRECT SELECTION of action(s) / or
inaction.
- Incorrectly leaning towards inaction, (vs dread), links to [prx
& volition]
- Incorrect selection of the Action(s)
P. Situation mandates a correct Act
7
Categories - O. Ambiguity: Different "Set"
(Uncertainity.hard)
- O. Fit, Conformal (vs Misfit)
- Errors of INACCURATE Set (Class) Recognition
- Errors of Insufficient/Inefficient Population Sample
Inaccurate Identification of the Object's Set
"Non Representative Sample" that defined what is "Normal"
O. Set is [Perceptible/ Memory Stored/
Matchable]
6
Relationsh
ips
- O. Isolated
- O. Non-Related, Non-Contained
- O., E. Not Grouped, No Covariance, No
Plot!
'Errors of INSULAR & Limited evaluation of O.
Relationships
- Faulty Inference of Object/Environ Relationships & Context. O., E. : O. experiences relationships
5
Events - O. Solid, firm
- O. Stable, robust
- O. Non-aggressive/ Non-wild/ friendly
Errors of DORMANT &UNSOPHISTICATED evaluation
of O. Hostility
- Faulty Monitoring / Naïve O. Hostility Assessment
[Inexperienced, ~over-peaceful, .. ]
O. experiences Event-wise Changes
4
Transition
s
- O. Static, status-quo
- O. Non-harming/ Neutral
Errors of STAGNANT & SERENE evaluation of O.
Potentiality
- Faulty Alertness/ Incautious O. Observation & Potentiality
Assessment [Unquestioning, Trusting, .. ]
O. experiences Transition
3
Configurat
ions
- O. Vagueness: Different "Item"
(Uncertainity.easy)
Errors of IMPRECISE Pattern Recognition Imprecise Identification of the Object (as an Item) O. is [Perceptible/ Memory Stored/ Matchable]
2 Sensation
s
- S. Different: [Variety, sort, nature] prx Errors of INCORRECT Attributing & weighted sums Different Quality Prx S. is of different quality or sort
1
Intensities - S. unusual/uncommon Multiple/Mass O.
- S. Disproportionate prx
Errors of First Acquaintance / INSUFFICIENT
Attention & Noise-rejection
Inexact Quantity Prx S. is of different quantity or amount
40. Systems Neurology Ver 0.9 May. 17th 2023 HABIB’s Complexity 3D Perspective Eng Emad Farag HABIB
Misperception : #4: Consequences / #5: Learned Lessons / #6: New Layers (Abstractions)
# PCT Level
(Order)
Name
ERRORS: Misperception Possibilities
( =Error SubTypes ) [ S.=Signal,
O.=Object, P.= Percipient , E.
=Environment, Prx = Perception]
#4. Consequences (SOC)
= Hence Experiencing Incorrect --
#5. Learned Lesson #6. Emerged Layer (L.) : Tackling --
(12)
System
Concepts
- P., E. (Over)-Selfish
- P., E. Frenzied, chaos
- P., E. Alien
P. Experiencing NON-
CONFORMAL Unity with the
System.
Proper Conformity with the
System
New L. for Assuring Proper P. matching with the Society (as a
Social SubSystem in Unity with the system)
(11)
Conflict - (O,P) Benign Object (towards P.)
- (O,P) Unintentional Disturbance
- (O,P) Non-Malignant Behavior
- (O,P),E. P. gets most info from O.
P. Experiencing UNTRUE
NULLIFICATION Of the Error Signal
!
Proper Countering of the Object's
Malignancy, and Proper Ino Input
from E. ( not only O.)
New L. for Proper Counteraction of Malignancy [ Complex
networks of behaviors perception/anticipation // O.'s Intentions
Probing // More Input from E.// Behaviors Trial and Error //
Higher level interactions ]
10
Principles - P. Anomalous, Unruled, lawless
- P. Norms violating/ Law breaking
P. Experiencing UNPRINCIPLED
Plans
Proper Principles to Guide the
Plans/Actions
New L. for Assuring Proper, Principled and Grammatical Plans, in
addition to adequate consideration of Plans' Contingencies
9
Programs - P. Haphazard, unplanned, ad hoc
Actions
- P. Incorrect Plan
- P. Unanticipated Contingencies
P. Experiencing INCORRECT
CHOICE of plans
Proper Planning and Selection of
Plans
New L. for Proper Planning and Selection of Plans
8
Sequence
s
- P. Inaction (vs Dread)
- P. Incorrect action
P. Experiencing INCORRECT
SELECTION of action(s) or
Proper Action(s) New L. for Proper Action Enactment and Selection.
7
Categories - O. Ambiguity: Different "Set"
(Uncertainity.hard)
- O. Fit, Conformal (vs Misfit)
P. Experiencing Unrecognized
Object SET
Proper Accuracy of the
Recognition Process
New L. for Proper Classing Abstraction:[ Item-set Inference/ Set
Memory and recall/ Set Matching Process ]
6
Relationsh
ips
- O. Isolated
- O. Non-Related, Non-Contained
- O., E. Not Grouped, No Covariance,
No Plot!
P. Experiencing Incorrect Prx of
Object's RELATIONSHIPS
Proper contexting of the O.Prx New L. for Proper Relationships Inference
5
Events - O. Solid, firm
- O. Stable, robust
- O. Non-aggressive/ Non-wild/
friendly
P. Experiencing Incorrect Prx of
Object's KINETICS
Proper Prx and response of/to the
Object's Hostility
New L. for Proper Duration-Alertness/ and for better Cautious
Monitoring
4
Transition
s
- O. Static, status-quo
- O. Non-harming/ Neutral
P. Experiencing Incorrect Prx of
Object's KINEMATICS
Proper Alertness/ Observation
and Caution
New L. for Proper Rates-Alertness/ and for good Cautious
Observation
3
Configurat
ions
- O. Vagueness: Different "Item"
(Uncertainity.easy)
P. Experiencing Unrecognized
Object (as an ITEM)
Proper Precision of the
Recognition Process
New L. for Proper Configurations-Abstraction: [ Pattern Prx
Process/ Pattern Memory Storage & Recall/ Pattern Matching
Process ]
2
Sensation
s
- S. Different: [Variety, sort, nature]
prx
P. Experiencing Different QUALITY Proper Attributing & weighted
sums
Layer (L.) for Proper weighted sums & Attributing
1
Intensities - S. unusual/uncommon
Multiple/Mass O.
- S. Disproportionate prx
P. Experiencing Different
QUANTITY
Proper Attention and Noise
Rejection
Layer (L.) for Proper Quantity Prx, Attention and Noise Rejection
Tasks.
41. Systems Neurology Ver 0.9 May. 17th 2023 HABIB’s Complexity 3D Perspective Eng Emad Farag HABIB
(( FCBPSS Modeling Framework ))
42. Systems Neurology Ver 0.9 May. 17th 2023 HABIB’s Complexity 3D Perspective Eng Emad Farag HABIB
FCBPSS : [ Function/ Context/ Behavior/ Principle/ State/ Structure ] / draft schematic 0406
Example: Needs Drives Directed Behavior Reinforcement Emotions Limbic
System (,Brain Stem) ( cf next slide )
FCBPSS:
Arranged Causality-wise: [Structure/ State/ Principle/ Behavior/Context/ Function ]
43. Systems Neurology Ver 0.9 May. 17th 2023 HABIB’s Complexity 3D Perspective Eng Emad Farag HABIB
FCBPSS : [ Function/ Context/ Behavior/ Principle/ State/ Structure ] / draft schematic 0406
Arranged Causality-wise: [Structure/ State/ Principle/ Behavior/Context/ Function ]
44. Systems Neurology Ver 0.9 May. 17th 2023 HABIB’s Complexity 3D Perspective Eng Emad Farag HABIB
Systems-Neurology: FCBPSS Framework: "CONCEPTUAL MAP" of the common "Hypothetical Constructs" arranged in an FCBPSS Framework layout: 20230406, 0504 first dr
FCBPSS S (SubStr) S P B C F VSC
(( Personal-Development Gonstructs ))
II: Cognitive
I: Emotional
II. Cognition/ Thoughts/ K.I.D. / MSG, Portfolio/ Values/ Beliefs/ ..
I. Emotions/ Moods/ Habbits/ Attitudes/ Social Behavior/ ,,
Intrinsic Algorithms ( Needs )
Organism-Environment Interactions
System-Structures, "Hypothetical Constructs" :
System-Structures(Physical): [ Brain/ Senses&Motor/ Glandular Control/ Body! ] 0410
System-Structures("Hypothetical Constructs") : (cf)
System-States: Need, Desires, Tensions, .. :
System-Principle(s): ~Motivation Theory: Priorization of a Motivation-Principles (cf)
( B. ) System-Behaviors: more (Elements & System) than (Organism/Environ) Behavior : TODO0409 so the 6-listed "BHX" which a
System-Contexts:
(Fns) System-Functions :
FCBPSS.SubConstructs: 0409 // also: linked notion
~ 2 TYPES 3 TYPES = 11 SubTypes MTX-theories4 Contexts:"Brain States" // plus? [Body, Environ] contexts/states?
2: [Satisfaction/ Dissatisfaction(Deprivation)] ? 0409 , of the a/m needs
3: [ CONTENT/ PROCESS/ REINFORCEMENT ] = MTX-theories-types
11: [[[ Hierarchy (Maslow) / ERG/ two-factor/ Acquired Needs // Equity/ Goal-setting/ Expectancy // Positive/ Avoidance/ Extincti
4: [ Alert(aroused)/ Awake/ DMN(defauly-mode Network, relaxed)/ asleep] ? , aka "Brain States" ref "B
Motivations: [[[ KINDS 4 // How to (get) Ultimate Motivation 6 // CHANGE_BHX 5 // .. ]]]
202305200todo UPDATE as per PPT SubPrinciple(s): 0410 = Tier Layer #3+
~Motivation Theory: ~Principles Priorization 6: [ Need/ Search/ Choice/ Enact/ Experience/ Reasses] : NSCEER , 0410
6: [Bio/ Survival/ Affiliative/ Generic/ Adapting/ Development]
# Maslow Pyramid ( N. = Need )
5 Self-Actualization N. for Self-Actualization
is Personal-Development B. Personal-Development Fns.
4 Esteem N. for Esteem to Social B. Social Fns.
CCN: Collective Control Networks ~4: Affliation (SOX) // some Aspects of BHX ? // .. .. // Non-standard: Subjectivity ??! // SACT ( cf SACT.TOC in DOC4 file)
( Links to )
'~ Need for Voluntry Action
needs- Generic Action B. Cognitive Fns. II. Cognition/ Thoughts/ K.I.D. / MSG, Portfolio/ Values/ Belie
Emotional Fns. I. Emotions/ Moods/ Habbits/ Attitudes/ Social Behavior/ ,,
3 Affliations N. for Affliationspursue Affliations B. Affliations Fns.
ADC: Adaptive Distributed Control ?
2 Safety & Security N. for Safety & Security
Satisfaction Survivial B. ( Spontaneous & Instinctive )
1 Basic Bioloical Needs N. for Basic Bioloical Needs
As-much-as-possible Biological B. Biological Fns.
( Number of ) 5 6 n 6 n 7
Abbrev.: Function/ Context/ Behavior/ Principle/ State/ Structure /// Variable-Structure Control /// Knowledge, Information, Data// Mental Self Gov// n=many/ N. Neuron
45. Systems Neurology Ver 0.9 May. 17th 2023 HABIB’s Complexity 3D Perspective Eng Emad Farag HABIB
Systems-Neurology: FCBPSS Framework : ~ Information-Notion wise : i.e Information-Theoretic Notions, arranged as per an FCBPSS framework, Eng. E. F
FCBPSS S S P B C F VSC
???? : ( former) (( Personal-Development Gonstructs )) ( Links to )
todo: Stuctures VS "Hypothetical Constructs" : Master-details 0409
???? : Information Issues ?
???? : Matter-Energy Issues ?
???? : Information-Hierarchy ? [ Organelles, .. Neurons, .. Systems, .. Organism, .. ], Macro-meso-micro
???? : (Gestalt, Systems-theory Perspective) vs ( Reductionism )
# ~Advanced Notions of: Wholism ( Nature-wise) / Teleology / CZL / ....
Rivals: "Changes" : #1 Im learning the subject / #2 recent researches, where even TERMINOLOGY is not sharply defined yet (2-3- terms for 1 meaning / 2-3 meaning for 1 term) / 0521
9 Universals Universal Principles: Organism Strive to (Organism <> Environment) : [ UNIFORMITY/ P.Distr, PowerLaws/ MAS , CAS, SOC, E
8 Organism/(Society, Otherness, Affiliation, ....) :
7 Organism/Environment Suvival : incl (Memory Links Experience links Processing !) / .. ) // standard Notions: Interaction: Awareness, Alterness, // ..
Perception (Non-Reorganization) : PCT, LOOP: same, no NEW layers: Information.Pyramid:
PCT.11 : 11 levels of perceptions : [ intensity/ sensation/ configuration/ transition/ event/ relationship
Links to: SOC causes the EMERGENCE of new layers of PC
Reorganization (Emerging, “Constru
Reorganization (Emerging, “Construction” !): PCT: SOC causes NEW Layers *Nodes Groups / ~Edges+ to emerge // links: PCT L
6 Organism Learning for Surival Repeated Pattern Information : Organism uses "Memory" ?? [ Flip-flop // .. ]
Learning, Memory, Habituation, Conditioning, Priming/ Experience , ..
Draft List of ((ASPECTS)) : VIMP: [ notion of "Motivated Behavior" BHX, MTX theories-types 3 // "Affective Behavior" //Self-awareness , Attention, Alterness // REINF, Sujectivi
5 System Info.sys Notions : incl * Information.TOC, “VSCS” : Aspects/Manifestations : 7 / CNS Features 5 / .. +
4 Organ: "Functioning" Modules: and SemiAutonomus, e.g. [Modules (= ICNs) / TFMs] Info CARRIERS & FORM = Info.Sys.HW: Information.Carriers ? (4: Circuits&Si
Node-Edge: N: 6: [ Neurons/ Networks/ Nodes/ Rich-club Hubs/ Modules (=
3 Tissue: NE : ["submodules" , "Nodes" , N. Population] & [Connections & Connectivity , "Coupling"] / terms contexts #1: Computational Neurology #2 Math , #3 Ne
SubModules Connectivity : [[[weight //timing // range]]] = submodules.CouplingParameters // aka sy
2 Cell: Neurons : N. [Number/ Type/ Connections] = CMX 3D Perspective !! , D#3 in particualr
1 Organelles / Support!: SubCellular [ {VIMP: includes : ) Synapses, Gap Junctions, .. ] / MacroMolecules / Molcular /// VIMP: Tissue [ Glia, other support Cells, .. ] [ Gli
Electrical Conduction ( as a mandate for Electric Info Propagation)
Info.Sys.Components Tactics: Saltatory Conduction , Summation , // Synapses types and dynamics
N. as a Living Cell Support Functions: ~Norishment/ Growth, Developmental / ..
( Number of ) 9 ?? ?? ?? ?? ??
Abbrev.: Function/ Context/ Behavior/ Principle/ State/ Structure /// Variable-Structure Control /// Knowledge, Information, Data// Mental Self Gov// n=many/ N. Neuron
46. Systems Neurology Ver 0.9 May. 17th 2023 HABIB’s Complexity 3D Perspective Eng Emad Farag HABIB
Draft Notes:
NOTES on ((FCBPSS applied on EMX)): 0325 :
FCBPSS is more suitable than the simplified FBS . May also consider the “Situatedness” FBS
Framework.
1- Emergence : As a typical example on Emergence: : Emotions are an Emergent Property of
the Complex System, which was NOT present in any of its component/structures .
2- the Limbic System produces both Drives and Emotions in the a/m sequence
3- the Reinforcement : +ve from Limbic System, -ve from Brain Stem.
4- Emotions: Among the whole set of possible emotions: Positives are few (~2) , while
Negatives are plenty .
Clarification: difference: simplified “FBS” VERSUS yet the x-axis of the 2-D is “FSB” : former B
is the Element Behavior, while latter B is the Whole-Organism Behavior .
47. Systems Neurology Ver 0.9 May. 17th 2023 HABIB’s Complexity 3D Perspective Eng Emad Farag HABIB
Draft Notes:
Systems Neurology :
Systems & Complexity Theory Approaches :
FCBPSS Framework : applied on Emotions : proved to yield good results
( Then the Framework was tested for all Maslow 5 Needs ).
FCBPSS : [ Function/ Context/ Behavior/ Principle/ State/ Structure ]
An Example on the FCBPSS Model :
Such Modeling Approach: when applied to “EMOTIONS” : proved to be very promising :
Needs Drives Directed Behavior Reinforcement Emotions Limbic System
(,Brain Stem) :
Details:
Function: Satisfaction of Needs Having the Organism in a certain Context: the
Organism/Environment interaction: Generates Drives (Linked to Motive, Internal Drive
Directed Behavior ( +/-) ( approach/avoid) some behavior that promotes homeostatic
regulation The Reinforcement system provides the Feedback (+/-) :
(reward/punishment&conflcit)regarding that directed behavior , based on past episodes
Emotions are subconsciously generated based on the degree of need satisfaction
(satisfied/thwarted) Limbic System (,Brain Stem) .
48. Systems Neurology Ver 0.9 May. 17th 2023 HABIB’s Complexity 3D Perspective Eng Emad Farag HABIB
Draft Notes:
Personality VS Character :
Personality: Notions of Traits & Attitudes
relates more to the Social & Adaptation Aspects of Behavior
Character: Notions of Beliefs & Values .
relates more to the Self (Personal ! ) & Developmental Aspects of Behavior
:0327
Awareness VS Self-Awareness :
Needless to say ..
DRAFT: Awareness State as one of the 4 Brain States,
VS Self-Awareness : which links also to Subjectivity , .. Reinforcement
Afflictive Behavior VS Affective Behaviors :
Needless to say ..
Afflictive Behavior <> Affective Behaviors :
A = Maslow#4 / B= Maslow# 2.5 ( Voluntary, non-innate, .. )
Friendship, Acquaintances / Empathy
VS: Needs Fulfilling Behavior (Limbic )
49. Systems Neurology Ver 0.9 May. 17th 2023 HABIB’s Complexity 3D Perspective Eng Emad Farag HABIB
Draft Notes:
Examples on ongoing GROUPING of Brodmann’s Areas : BA## ..
ATTENTION Functions : OS-based <> CONTENT-based <> CONTROL-based ?? : , 0320
Similar notion are common ICT.Software.Programming:
OS-based (in multi-tasking OS’s), CONTENT-based =: event-driven , CONTROL-based =: algorithm-driven , :
OS-based: [[[Emotions (+ve, -ve), Monitor unattended information , Orientation-selective A. , .. ]]]
CONTENT-based: [[[sensory, Feature, speech, phonemes]]]
CONTROL-based : [[[Divided / Multitasking/ Shift / Sustain / Focused]]]
~ Multi-Role, Dynamic-Configuration, Meta-Adaptive System , Circular-Causation ?? : 0402
Mere-draft idea stating // for more checking and reading :TODO0402
FCBPSS : VIMP Issue of ( Model.Aspect X “ACTING AS” Model.Aspect Y !! :
Clear example #1: Book “Core Ideas” , Ch5 ( Information ) : ”Information carriers” are both “Signals and Circuits” : * AP+NT /
Neurons + Synapses ] , information is contained in the 4 items !
example #2: EMX: Needs acts as [ str, .. ] // past episodes: as Reinforcement, .. //
Example #3: “instances” , mapping /
{ in addition to : Variable-Structure Control (VSC), and its synonyms}
50. Systems Neurology Ver 0.9 May. 17th 2023 HABIB’s Complexity 3D Perspective Eng Emad Farag HABIB
NOTES on ((Information Aspects: the Brain as a Variable-Strucuture Control-System)): 0403 :
Draft Notes:
~ Information.Aspects : ~ [[[ VSCS akas / Information.Forms/ “Information.Coding” / “Information.Processing” / Information
Pyramid (quantity, amount) / .. ]]] VSCS = Variable Structure Control System.
VSCS akas : [[[ Routing (of information I/O flow), gating / Plasticity Mechanisms: 5 @ : [ T. /
C./ P./ S. ] : [sculpted /recruited , reorganized/ grow/ formed] (Mem.storage)/
Combinatorial pattern coding (Sensory.Mem.storage)/ dynamic self-organizing process (
SLFO , CRTCL @ Information.Reconstruction (image) ) (Mem.retrieval) / “shifting hierarchy”
SemiautonomousSubsystems / overlapped-Role FCBPSS-wise(General Modeling) /
Neuronal "Programmed Development" CellDivision/Differentiation”, (Development) ]]]
0403
Information.Forms : 4 : *molecular recognition / “fluctuations”/ “Information.Coding” / “coherent firing” + : Author’s Terms 0403
“Information.Coding”, “Information.Sensory”, “Information.Sensory.Coding”, “Coding.Modulations” : 3 ~Modulations : * Frequency
/ duty-cycle / pattern ]
“Information.Processing” , “Information.Processing.Schemes”: : 4 (Levels, Types / Evolution, Development~species-wise!)
Information Pyramid (quantity, amount) : [real / modality / considered / unconsciously/ consciously/ stored ]
Plasticity Mechanisms: 5 : @ [ T. / C./ P./ S. ] : [sculpted /recruited , reorganized/ grow/ formed] // needless to mention: all relates
to N. // abbrev.: * Topographical Maps T./ Neuron Circuits C. / Neurons N. / “Processes” P. (axonal and dendritic P.) / and Synapses S.
] 0404
51. Systems Neurology Ver 0.9 May. 17th 2023 HABIB’s Complexity 3D Perspective Eng Emad Farag HABIB
(( Very Draft Slides ))
52. Systems Neurology Ver 0.9 May. 17th 2023 HABIB’s Complexity 3D Perspective Eng Emad Farag HABIB
The term "CONFLICT" : A Clarification (Motivation vs PCT Contexts)/ 20230500, Eng. E
# Item PCT11 "CONFLICT" PCT12 "CONFLICT" Details Notes
1 Brief Conflict within 1 Person: within Same
Person, regarding Motives & Actions
Conflict between 2 Persons: A "Percipeint"
and a Perceptive-Manipulator
2 Involved-Party mainly a one person setting mainly a two-persons setting (at least)
3 Topic Context Pathology : Method of Levels Perception: Social Behavior
4 Term Context Motivation Theory: Reward-Punishment
reinforcement: aka: Reward-conflict
Percipient-Object interaction: that involves
a "Manipulative" Object
5 Term
Disambiguity
- VS: Conflict vs Reward: for an intended
action
- AKA: Conflict aka Punishment
- VS: Conflict vs cooperative: same Principles
& Values
- AKA: Conflict aka Manipulation, Malignant
Maneuvering, Deception, "Conflict of Will"
(more precisly "Conflcit of Wills")
6 Importance Guides Persons Acts & Motivation Protects against Malice & Conflict of Will
7 Theory &
History
Motivation Theory: known since ~1900's PCT Theory: Proposed 2023
Abbrev: PCT: Perceptual Control theory / VS: Versus/ AKA: also known as/
53. Systems Neurology Ver 0.9 May. 17th 2023 HABIB’s Complexity 3D Perspective Eng Emad Farag HABIB
Brain Theories & Frameworks: Plotted against "Principal Dimensions & Degrees" Compa
D imensio ns Str
LISTS notes
D1
2 C M X.3D .OR D D .H igherF unctio
No Constructs
Conditioning, Memory
Needs-Behavior, Consciousness, Affective/Intellectual
Cognitive Fns, Thoughts
Judgement Learning, Tacit Knowledge
Motivation MSG, Knowledge/ Info/ Data
Values, Beliefs
Adapting/ Development
Meta-
Motivation Loop: Social Dissonance
D1
1 C M X.3D .OR D D .H igherF unctio
No Framework, Unknown !
Seminals References [CNS.BA BA !!/ Maslow/ .. ], yet non-substantiated
str. Descriptive :
Anat-Fn Only
Causal Effective Fn
Human/Biologically Conformal [Perception,, ]
Universal Laws: Uniformity, Entropy
Dynamics Formula
time-domain Solution
Meta-
2-Factor theory 3-way connectivity
PCT [e(t)/ PCT11]FEP-AI (Free Energy Principle , Active Inference )
ODE, .. Analytical Closed-form time-Function
D1
0 C M X.3D .OR D D .H igherF unctio
No Formulation
Proposed, Articles, Amatuers
Text Narrative, Str Text
Diagrams Semi-Analytical Analytical Formulation Mathematical Formulation
Meta-
D9 C M X.3D .OR D D .H igherF unctio
Non-Quantized Macro-Constructs some quantitative-aspect (some form of it)
One Digit 2 digits 3 digits 4-9 digits 10-19 digits >19 digits
Maslow 5 needs
D8 C M X.3D .OR D D .H igherF unctio
Non-Structured Macro-Constructs Semi-Structured Macro-Constructs Fully-Structured Macro-Constructs
Meta-
6-phases of the Motivation Loop:
13 Thinking Styles consciousness: Brain's 4 states
D7 C M X.3D .C Z L.D egrees
No Correlation
Correlation Predictive Directed Flow TE Transfer Entropy
Causality: Direct, incl "Causally Effective Information"
FDBK (Circural Causality, Negative)
Positive FDBK (incl SOC)
(Causality w/o Correlation !!)
Meta- [Correl <>Predicti
(Causali
D6 C M X.3D .N T R C .M o dular
Models: [ Modula
Non-Structured SubSystems
structured-aspect (some form of it) Modular Hierarchical Integrative Meta-
D5 C M X.3D .N T R C .Other[N esting
Non-Elaborated SubSystems
elaboration-aspect (some form of it)Some Intricacy: Nesting/ Interconnections LNXK/ ..
Sensible Intricacy: Nesting/ Interconnections LNXK/ ..
Abundant Intricacy: Nesting/ Interconnections LN
Meta-
D4 C M X.3D .N T R C .D iversity (SP C
Non-Typed SubSystems qualitative-aspect (some form of it) One Type 2 types 3 types 4-9 types 10-19 types >19 types
D3 C M X.3D .N T R C .N umero sity
Non-Quantized SubSystems
quantitative-aspect (some form of it)
One Digit 2 digits 3 digits 4-9 digits 10-19 digits >19 digits
PCT 11 Levels 706 Brain Functions (BA) Neurons 10^11
D2 C M X.3D .EM R G2(A nat.)
Non-Emerged SubSystems
development-aspect (some form of it)
Some EMRG Sensible EMRG Abundant EMRG
Meta-
D1 C M X.3D .EM R G1(F n.), Incl SO
Non-Criticalized SubSystems
criticality-aspect (some form of it) Some SOC Sensible SOC Abundant SOC
Meta-
Maslow PCT FEP-AI
54. Systems Neurology Ver 0.9 May. 17th 2023 HABIB’s Complexity 3D Perspective Eng Emad Farag HABIB
More Updated but VERY DRAFT : 14-Dimensions :
Brain Theories & Frameworks: Plotted against
"Principal Dimensions & Degrees" 20230516
Brain Theories & Frameworks: Plotted against "Principal Dimensions & Degrees" 20230516 D imensio ns Str
notes
D1
4 C M X.3D .OR D D .H igherF unctio ns.C o ns
No Constructs Conditioning, Memory
Needs-Behavior, Consciousness, Affective/Intellectual
Cognitive Fns, Thoughts
Judgement Learning, Language, Tacit Knowledge
Motivation MSG, Knowledge/ Info/ Data
Values, BeliefsAdapting/ Development
Meta-
Motivation Loop (General)
Conservative, Liberal Thinking Styles Social Dissonance
D1
3 C M X.3D .OR D D .H igherF unctio ns.C o ns
No Motivational Constructs Motivational-aspect (some form of it) Content Theories Process Theories (Recent) Reinforcement Theories
Meta-
Maslow, ERG, 2-Factor theory EIV, .. 4-types
D1
2 C M X.3D .OR D D .H igherF unctio ns.C o ns
No Substantiation, or Unknown !
Seminals References, yet not fully-substantiated
str. Descriptive Anatomcal-Functional substantiation
EBM, Human/Biologically Conformal, Evidence-based Substantiation
Cause-Effect, Incl "Causally Effective Fn"
Universal-Laws Contexted: Uniformity, Entropy, Conservation, Homeostasis
Dynamical-systems Formulation
time-domain Solution
Meta-
CNS.BA/ Maslow 2-Factor theory Perception: PCT [e(t)/ PCT11]
3-way connectivityFEP-AI (Free Energy Principle , Active Inference )
ODE, Numerical&Iterative Solutions & Inferences
Analytical Closed-form time-Function
D1
1 C M X.3D .OR D D .H igherF unctio ns.C o ns
No Formulation
Proposed, Articles, Amatuers
Text Narrative, Structured Text
Diagrams Semi-Analytical FormulationAnalytical Formulation Mathematical Formulation
Meta-
D1
0 C M X.3D .OR D D .H igherF unctio ns.C o ns
Non-Quantized Macro-Constructs some quantitative-aspect (some form of it)
One Digit 2 digits 3 digits 4-9 digits 10-19 digits >19 digits
Maslow 5 needs/ 6 Motivation Loop phases
13 Thinking Styles
D9 C M X.3D .OR D D .H igherF unctio ns.C o ns
Non-Structured Macro-Constructs Semi-Structured Macro-Constructs Fully-Structured Macro-Constructs (Resulting Macro-Constru
Meta-
consciousness: Brain's 4 states
D8 C M X.3D .N T R C .M o dularity
Non-Functional SubSystems-Connectivity
Functional-aspect (some form of it) Structural Functional Effective Functional, BOLD, ..
Meta-
Reorganizatio, reconfiguration, ..
D7 C M X.3D .C Z L.D egrees
Non-Correlated SubSystems
Correlation Predictive Directed Flow TE Transfer Entropy
Causality: Direct, incl "Causally Effective Information"
FDBK (Circural Causality, Negative)
Positive FDBK (incl SOC)
(Causality w/o Correlation !!)
Meta- (Causality w/o Correl
D6 C M X.3D .N T R C .M o dularity
Non-Structured SubSystems structured-aspect (some form of it) Modular Hierarchical Integrative Meta-
D5 C M X.3D .N T R C .Other[N esting/ Interco
Non-Elaborated SubSystems elaboration-aspect (some form of it) Intricacy: Nesting/ Interconnections LNXK/ ..
Sensible Intricacy: Nesting/ Interconnections LNXK/ ..
Abundant Intricacy: Nesting/ Interconnections LNXK/ ..
Meta-
D4 C M X.3D .N T R C .D iversity (SP C L)
Non-Typed SubSystems qualitative-aspect (some form of it) One Type 2 types 3 types 4-9 types 10-19 types >19 types
D3 C M X.3D .N T R C .N umero sity
Non-Quantized SubSystems quantitative-aspect (some form of it) One Digit 2 digits 3 digits 4-9 digits 10-19 digits >19 digits
PCT 11 Levels 706 Brodmann's Areas Brain Functions (BA)
Neurons 10^11, Connections 10^14
D2 C M X.3D .EM R G2(A nat.)
Non-Emerged SubSystems development-aspect (some form of it) Some EMRG Sensible EMRG Abundant EMRG
Meta-
D1 C M X.3D .EM R G1(F n.), Incl SOC Who le
Non-Criticalized SubSystemscriticality-aspect (some form of it) Some SOC Sensible SOC Abundant SOCMeta-
55. Systems Neurology Ver 0.9 May. 17th 2023 HABIB’s Complexity 3D Perspective Eng Emad Farag HABIB
DAC
Distributed Adaptive Control (DAC)
DAC
Conforms Reasonably
with a Months-ago Self-developed
Similar Diagram
56. Systems Neurology Ver 0.9 May. 17th 2023 HABIB’s Complexity 3D Perspective Eng Emad Farag HABIB
Abbreviations
Abbreviations:
CNS Central Nervous System
BA Brodmann Areas
MSG: Mental Self Government
PCT: Perceptual Control Theory
CCN: Collective Control Networks
ADC: Adaptive Distributed Control
STM: Short Term Memory
LTM: Long Term Memory
CLTM: Constructive Memory
BMR: Basal Metabolic Rate
RIT: Roget International Thesaurus
Abbreviations: (continued)
Sys: System
Ctrl: Controller (Regulator)
Fn, Fns: Function, Functions
VSCS, VSC: Variable-Structure Control-System Model
FCBPSS: [ Function/ Context/ Behavior/ Principle/ State/ Structure ] Model
Ref: Reference
K: Knowledge
OS: Operating System
(ICT-context : Information, Communication, Technology)
cf: Refer to, please turn over to
e.g.: For Example
a/m: afore-mentioned
Incl.: Including
RCA: Root-cause Analysis
PPT: PowerPoint Presentation ( also PDF file format)
VIMP: Very Important (issue or point)
[ Item#1/ Item#2/ Item#3/ .. ]: Lists of Items
57. Systems Neurology Ver 0.9 May. 17th 2023 HABIB’s Complexity 3D Perspective Eng Emad Farag HABIB
Quotes ( non-cited quotes are Author’s DIY mockups )
Human Brain Development :
“The gap between ape and man
is immeasurably greater than
the one between amoeba and ape. “
Stephen Fleming,
Quantity and Quality :
“Not everything that can be counted counts,
and not everything that counts can be counted.”
Albert Einstein (1879-1955)
Exploration ( Un-mentored Trial & Error .. ) :
“Exploration is not an EFFICIENT Process”
Diagrams & Ideas :
“A Picture Speaks a thousand Words,
a DIAGRAM speaks a thousand IDEAS”
Brain & Library :
"A man should keep his little brain attic stocked with all
the furniture that he is likely to use,
and the rest he can put away in the lumber-room of his
library .. “
Sir Arthur Konan Doyle
Malice :
“Never attribute to malice anything that can be attributed
to STUPIDITY“
James W. Haefner
Workings of our Brains:
“The laws of nature are written in the workings of our
brains”
Thomas L. Saaty
Brain’s “Abstraction Layers” (PCT Theory ) :
The Power of MSG Theory is that it is based upon deducing
What Humans Brain “Thinking Styles” are, based on how
they created “Social Governance Systems “ (Politics
Context).
Similarly: PCT Theory is based upon deducing What
Humans Brain “Abstraction Layers” are, based on how
they created “Social Communication Systems” (Linguistic
Context).
58. 58
Brodmann K (1909). "Vergleichende Lokalisationslehre der Grosshirnrinde" (in German).
Leipzig: Johann Ambrosius Barth.
( “Brodmann’s Areas”, Korbinian Brodmann,1909, yes 1909 )
Klemm, William R., “Core Ideas in Neuroscience”,
2013, 2016, Texas A&M University
Hemmen, J. L, van, et al, “23 Problems in Systems Neuroscience”,
OXFORD UNIVERSITY PRESS, 2005 , ISBN-13: 978-0-19-514822-0, ISBN-10: 0-19-514822-3
Sternberg, R. J. (1988). Mental Self-Government: A Theory of Intellectual Styles and Their Development.
https://doi.org/10.1159/000275810
William T. Powers … . Perceptual Control Theory: { Apology, doi details will be added after surviving drowsy toture
by microwaver ray }
Ganong, William F., 1995, “Review of Medical Physiology”,
17th edition, LANGE books
Despopoulos, Agamemmon, 2003, “Color Atlas of Physiology”,
5th Edition, Thieme Flexibooks
Bertalanffy, Ludvig von, 1968, “General System Theory” : Foundations, Development,
and Applications”, Revised Edition, George Braziller, New York
Haefner, James W. , 1996, “Modeling Biological Systems” : Principles and Applications”
Chapman & Hall Pub.
References :
Systems Neurology Ver 0.9 May. 17th 2023 HABIB’s Complexity 3D Perspective Eng Emad Fara
59. 59
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This Version of the Presentation is draft, ongoing major elaborations,
will be updated and uploaded later.
( A Self-effort for self-Career Issues, ONLY , ONLY ! : and ALL this presentation is a SOLE, LONE Self Effort of the Author:
Eng. Emad Farag HABIB)
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