RESEARCH BASE

Search 3,721 documents across 34 fields — every claim tier-rated by evidence

3,721 Documents 34 Sections 43,625 Citations 34,852 Keywords Indexed 4 Evidence Tiers

3,633 are the core, quality-scored corpus (34 lettered sections — see How We Work); the remaining 88 are cross-corpus synthesis documents (68 InterDocs, 12 Connections, 8 Theories) also indexed here.

504 results for "holonomic brain theory" — page 5 of 26

T_1_04 Verified Psychology & Social

T_1_04 — Developmental Psychology — From Piaget to Attachment Theory

Developmental psychology traces psychological changes across the human lifespan, from prenatal development through aging. Jean Piaget's cognitive stage theory, Lev Vygotsky's sociocultural approach, John Bowlby's attachm

developmental psychology Piaget cognitive stages Vygotsky scaffolding Bowlby
T_1_06 Verified Psychology & Social

T_1_06 — Cognitive Development — Piaget, Vygotsky, Theory of Mind

Cognitive development — how human minds grow in their capacity to think, reason, solve problems, and understand the world — has been dominated by two foundational theories: Jean Piaget's constructivist stage theory (1936

cognitive development Piaget Vygotsky Theory of Mind Sally-Anne test zone of proximal development
T_1_07 Verified Psychology & Social

T_1_07 — Emotion Theory and Affect

Emotion theory addresses one of psychology's most fundamental and contested questions: What are emotions, where do they come from, and how many are there?

emotion theory affect basic emotions Ekman facial action coding system FACS
T_3_14 Verified Psychology & Social

T_3_14 — Cognitive Load Theory: Working Memory, Schema Acquisition, and Instructional Design

Cognitive Load Theory (CLT) — developed by John Sweller (University of New South Wales, 1988–present) — is the most influential theory connecting cognitive architecture (specifically the severe limitations of working mem

cognitive load theory CLT Sweller working memory intrinsic load extraneous load
ZD_1_02 Verified Information & Computation

ZD_1_02 — Information Theory — Shannon, Entropy, and the Bit

Claude Shannon's 1948 paper "A Mathematical Theory of Communication" is one of the most consequential scientific publications of the 20th century. It defined information quantitatively — measured in bits — independent of

information theory Claude Shannon entropy bit channel capacity noise
ZD_1_10 Verified Information & Computation

ZD_1_10 — Automata Theory and Formal Languages

Automata theory studies abstract computational machines and the classes of languages they recognize, forming the mathematical backbone of computer science. The Chomsky hierarchy (1956–59) classifies formal languages into

automata theory formal languages Chomsky hierarchy finite automata pushdown automata Turing machine
ZD_1_13 Verified Information & Computation

ZD_1_13 — Kolmogorov Complexity and Algorithmic Information Theory

Kolmogorov complexity (also called algorithmic complexity, descriptive complexity, or program-size complexity) — the length of the shortest computer program (on a fixed universal Turing machine) that produces a given str

Kolmogorov complexity algorithmic information theory algorithmic randomness incompressibility minimal description length Solomonoff
ZD_1_14 Verified Information & Computation

ZD_1_14 — Type Theory: Lambda Calculus, Dependent Types, and the Curry-Howard Correspondence

Type theory is a foundational framework in mathematics, logic, and computer science that classifies values and expressions into types — categories that determine what operations are valid: a natural number can be added t

type theory lambda calculus dependent types Curry-Howard Coq Lean
ZD_1_04 Verified Information & Computation

ZD_1_04 — Coding Theory & Error Correction

Coding theory — the mathematics of reliable communication over unreliable channels — was founded by Claude Shannon (1948), who proved the existence of channel capacity (a maximum rate at which information can be transmit

coding theory error correction Shannon Hamming code Reed-Solomon information theory
ZD_5_01 Verified Information & Computation

ZD_5_01 — Graph Theory and Algorithms

Graph theory — the mathematical study of graphs (networks of vertices/nodes connected by edges/links) — is one of the most widely applicable branches of mathematics, modeling everything from social networks and transport

graph theory graph algorithm shortest path network flow Euler path Dijkstra
ZD_4_02 Verified Information & Computation

ZD_4_02 — Game Theory, Strategic Interaction, and Cooperation

Game theory is the mathematical study of strategic interaction among rational agents, founded by John von Neumann and Oskar Morgenstern's Theory of Games and Economic Behavior (1944) and revolutionized by John Nash's equ

game theory Nash equilibrium prisoner's dilemma tit-for-tat von Neumann Morgenstern
ZD_4_13 Verified Information & Computation

ZD_4_13 — Network Science: Graph Theory, Small Worlds, and Scale-Free Networks

Network science is the study of complex systems represented as networks (graphs) — collections of nodes (vertices) connected by edges (links) — encompassing social networks (people connected by friendships, collaboration

network science graph theory small-world scale-free Barabási Watts-Strogatz
ZD_2_05 Verified Information & Computation

ZD_2_05 — Robotics and Control Theory

Robotics integrates mechanical engineering, electrical engineering, computer science, and control theory to design, build, and program machines that sense, reason, and act in the physical world. Control theory — the math

robotics control theory feedback control PID controller kinematics dynamics
Y_5_22 Credible Altered States

Y_5_22 — Brainwave Entrainment: Neural Oscillation, Binaural Beats, and Auditory Driving

Brainwave entrainment refers to the capacity of external rhythmic stimuli — auditory, visual, or electromagnetic — to synchronize endogenous neural oscillation patterns toward the frequency of the stimulus, a phenomenon

brainwave entrainment binaural beats auditory driving neural oscillation EEG alpha waves
Y_2_04 Verified Altered States

Y_2_04 — Neuroscience of Death — Terminal Lucidity and Dying Brain

The neuroscience of death has emerged as a legitimate research frontier, revealing that dying is not a simple cessation but a complex neurobiological process with surprising features. Michael Nahm and Bruce Greyson's doc

terminal lucidity dying brain gamma wave surge cortical spreading depolarization near-death experience DMT hypothesis
P_2_17 Verified Philosophy & Meaning

P_2_17 — Philosophy of Law: Jurisprudence and Legal Theory

Jurisprudence — the philosophical study of law's nature, authority, and relationship to morality — addresses foundational questions: What makes a rule a "law"? Is law necessarily connected to morality? How should judges

jurisprudence legal-positivism natural-law hartian dworkinian critical-legal-studies
ZE_3_14 Verified Ethics & Applied Philosophy

ZE_3_14 — Neuroethics: Brain Scanning, Cognitive Liberty, and Moral Enhancement

Neuroethics — a field formalized in the early 2000s — addresses the ethical, legal, and social implications of neuroscience and neurotechnology. As brain imaging, neural interfaces, pharmacological interventions, and com

neuroethics brain scanning fMRI cognitive liberty moral enhancement neuroscience
R_4_03 Verified Biology & Evolution

R_4_03 — Nervous System Evolution: From Nerve Nets to Brains

The nervous system — the most complex organ system in animals — evolved once (possibly twice) from electrically excitable cells in the common ancestor of bilaterians and cnidarians, approximately 600–700 million years ag

nervous system evolution neuron nerve net centralization cephalization brain
R_2_07 Credible Biology & Evolution

R_2_07 — Stoned Ape Hypothesis — Psilocybin, Cognitive Evolution, and the McKenna Theory

The "Stoned Ape Hypothesis," proposed by ethnobotanist Terence McKenna in Food of the Gods (1992), posits that the consumption of psilocybin-containing mushrooms by early hominids (particularly Homo erectus and Homo erga

stoned ape hypothesis Terence McKenna psilocybin mushrooms cognitive evolution neurogenesis
R_2_01 Verified Biology & Evolution

R_2_01 — Human Brain Evolution and the Cognitive Revolution

The human brain tripled in size over 3 million years — from ~400 cm³ (Australopithecus) to ~1,400 cm³ (modern Homo sapiens). This is the most dramatic encephalization in the history of life, and NO consensus exists on wh

brain evolution encephalization cognitive revolution Homo sapiens neocortex language