RESEARCH BASE

Search 3,717 documents across 34 fields — every claim tier-rated by evidence

3,717 documents 34 sections 47,686 citations 34,596+ keywords indexed 4 evidence tiers

13 results for "posterior"

K_1_03 Consciousness

K_1_03 — Free Energy Principle and Predictive Processing

The Free Energy Principle (FEP), developed by neuroscientist Karl Friston (2006-present), is one of the most ambitious theoretical frameworks in 21st-century science: it attempts to explain the EXISTENCE, BEHAVIOR, and C

free energy principle FEP Karl Friston predictive processing predictive coding active inference
K_1_06 Consciousness

K_1_06 — Predictive Processing and Consciousness

Predictive processing (PP) is a unifying framework in cognitive neuroscience proposing that the brain is fundamentally a prediction machine — it continuously generates top-down predictions of incoming sensory input and u

predictive processing predictive coding Bayesian brain Karl Friston Andy Clark Jakob Hohwy
K_2_03 Consciousness

K_2_03 — Neural Correlates of Consciousness

The neural correlates of consciousness (NCC) are the minimal neuronal mechanisms jointly sufficient for any one specific conscious experience. The systematic search for NCCs was launched by Francis Crick and Christof Koc

neural correlates of consciousness NCC Francis Crick Christof Koch visual awareness binocular rivalry
K_2_11 Verified Consciousness

K_2_11 — Default Mode Network: Brain at Rest and Self-Referential Consciousness

The Default Mode Network (DMN) is a large-scale brain network that is most active when a person is not focused on the external environment — during mind-wandering, daydreaming, self-referential thought, autobiographical

default mode network DMN resting state self-referential mind-wandering autobiographical memory
K_5_13 Credible Consciousness

K_5_13 — Integrated World Models: Bayesian Brain and Consciousness

The Bayesian brain hypothesis proposes that the brain is fundamentally a prediction machine — it constructs and maintains internal generative models of the world (including the body), uses these models to generate predic

Bayesian brain predictive processing predictive coding free energy principle Friston Helmholtz
E_4_25 Verified Cataclysms & Chronology

E_4_25 — Bayesian Age Modeling: Statistical Frameworks for Archaeological Chronology

Bayesian age modeling — the application of Bayesian statistical inference to combine radiocarbon dates with prior archaeological knowledge (stratigraphy, typology, historical constraints) to produce refined chronological

Bayesian chronology radiocarbon calibration OxCal prior probability posterior probability Buck
ZG_4_07 Verified Linguistics & Communication

ZG_4_07 — Constructed Languages — Esperanto, Tolkien, and Beyond

Constructed languages (conlangs) are languages deliberately designed by individuals or groups rather than having evolved naturally — they range from international auxiliary languages (IALs) designed to facilitate cross-c

constructed language conlang Esperanto Zamenhof Tolkien Elvish
G_2_03 Verified Modern Frameworks

G_2_03 — Bayesian Reasoning and Archaeological Inference

Bayesian reasoning — the systematic updating of probabilities for hypotheses as new evidence is acquired — has transformed archaeology, chronology, and the evaluation of disputed historical claims since the 1990s. At its

Bayesian inference Bayes theorem prior probability posterior likelihood radiocarbon calibration
P_1_20 Credible Philosophy & Meaning

P_1_20 — Epistemology & Theory of Knowledge

Epistemology — the branch of philosophy concerned with the nature, sources, structure, and limits of knowledge — is one of the oldest and most persistent areas of philosophical inquiry. The central question "What can we

epistemology justified true belief Gettier problem empiricism rationalism foundationalism
R_3_07 Biology & Evolution

R_3_07 — Embryology and Morphogenesis: How Bodies Take Shape

Embryology — the study of how a single fertilized cell becomes a complex multicellular organism — is one of biology's most profound mysteries. From the discovery by Karl Ernst von Baer (1828) that embryos of different sp

embryology morphogenesis gastrulation body plan Hox genes morphogen gradient
V_4_27 Verified Mathematics & Information

V_4_27 — Bayesian Inference: Probabilistic Reasoning from Bayes to Machine Learning

Bayesian inference — the mathematical framework for updating beliefs in light of evidence — has become the dominant paradigm in statistics, machine learning, cognitive science, and philosophy of science. Named after Reve

bayesian inference bayes theorem probability prior posterior machine learning
V_4_25 Verified Mathematics & Information

V_4_25 — Bayesian Inference: Probability as Rational Belief Updating

Bayesian inference — the mathematical framework for updating beliefs in light of evidence using Bayes' theorem — has become one of the most powerful and contested ideas in modern science. Named after Reverend Thomas Baye

bayesian inference bayes theorem prior probability posterior probability likelihood bayesian statistics
V_3_21 Verified Mathematics & Information

V_3_21 — Bayesian Statistics Revolution

Bayesian statistics — the framework for updating probability estimates as new evidence is acquired, grounded in Bayes' theorem — has undergone a dramatic resurgence since the late 20th century, transforming from a margin

Bayesian statistics Bayes theorem prior probability posterior Thomas Bayes Laplace