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Certaines parties de cette page sont affichées en anglais en attendant la traduction.

How the evidence connects

Seven converging research connections, from a receiving system to motivation and collective outcomes.

The strongest synthesis joins studies at a named, measurable interface. A change located in one experiment becomes an input to the next part of the explanation. BERM assembles this chain from its physical premise through biological state, valuation and interaction, keeping the shared variables visible across scales.

Ce qui entre à ce niveau

Lindgren’s 2025 premise and its tensor consequence, followed by the explicit geometry-to-receptor bridge. The component literature then supplies measured biological relationships.

Ce qui se transmet

A composed model with shared state variables, linked outcomes and concrete datasets. Each source supports the transition it measures; their connections support the wider synthesis.

Three orders of evidence

Explanatory scale, the origin of a proposition and the role of a study are different questions. Keeping them separate lets a molecular intervention and a population dataset contribute to the same explanation without pretending that they measure the same link.

Where in the explanation?

Physics → reception → organism → behavior → interaction → civilization. This is the website’s reading order, not a ranking from weak to strong evidence.

Where does the proposition come from?

An identified premise, an algebraic consequence, an explicit bridge, a mechanism measured elsewhere, or a synthesis of connected relationships.

What does the study supply?

The structure of a mechanism, direction, magnitude, timing, receiver dependence, or an aggregate constraint. Species, protocol and dataset family remain attached to the result.

L0 is g = η + A⊗A. L1 follows by A = Ab + a: δg = Ab⊗a + a⊗Ab + a⊗a. At L2, BERM conditionally derives a formal response operator under minimal matter–metric coupling and causal response theory; z = ∫K(S):δg is a receptor-specific temporal representation. Gauge, scale, tissue kernels, sign, lag and endpoint calibration remain open. The studies below establish or constrain L3 biological realizations and L4 downstream relationships; their composition continues through this explicit bridge. Lindgren 2025i; Kubo 1957i.

Read the physical derivation and coupling →

Calcium · redox · production hormonale

Un état récepteur, plusieurs voies vers la production hormonale

La signalisation calcique, la réserve redox et l’entretien cellulaire convergent vers l’approvisionnement en cholestérol et son transport mitochondrial par StAR. BERM relie les expériences de champ aux interventions sur les composants par ces étapes mesurées. La production locale rejoint ensuite la disponibilité hormonale et la réponse tissulaire.

La branche CaMKI–NUR77–StAR et la branche d’horloge RORα–BMAL1 convergent vers la stéroïdogenèse en conservant leurs preuves respectives.

Qin et al. (2018)iMartin et al. (2008)iGao et al. (2018)i
Explorer le mécanisme commun et les études

CRY, hormone receptors and clocks close a regulatory loop

  1. Upstream quantity

    Field response and CRY state

  2. Shared interface

    Receptor response / cAMP / clock phase

  3. Downstream output

    A changed response to the next signal

This connection joins the physical-reception literature to the machinery that determines hormone effectiveness. It also returns endocrine state to the receiver: biological phase and steroid signaling can change subsequent responsiveness.

Relations mesurées

Sherrard’s defined pulsed-field protocol produced CRY-dependent responses and a gene-response enrichment involving corticosteroid receptors and cyclic nucleotides. Lamia located CRY–glucocorticoid-receptor regulation, Rizzini identified a CRY–DET1–COP1 transcriptional route, and Manella located CRY2 dependence in steroid-driven clock resetting. Zhang independently connects CRY to hepatic glucagon/cAMP signaling. Sherrard 2018i; Lamia 2011i; Rizzini 2019i; Manella 2025/2026i; Zhang 2010i.

Ce que BERM en déduit

A small set of coupled variables can represent reception, clock timing and endocrine sensitivity. The direct connecting measurement is a hormone-receptor response curve under the specified field and cell conditions. Gene enrichment locates that interface; it is not itself the response curve. Tissue, CRY isoform and regulatory partners determine the sign.

Hormone action depends on temporal structure

  1. Upstream quantity

    Dose, pulses and clock phase

  2. Shared interface

    Time-dependent tissue receptivity

  3. Downstream output

    Gene, emotional and cognitive responses

The CRY–receptor circuit becomes more explanatory when the signal retains its timing. Receptor responsiveness can vary while circulating abundance remains similar, and a different pulse pattern can produce a different accumulated response.

Relations mesurées

Stavreva’s receptor experiments locate pulse-dependent gene regulation. Archer’s human circadian study measures disrupted transcript timing. Kalafatakis changes hydrocortisone delivery pattern at the same administered daily dose in 15 men and measures emotional and cognitive effects. These studies describe different stages of temporal decoding. Stavreva 2009i; Archer 2014i; Kalafatakis 2018i.

Ce que BERM en déduit

BERM composes hormone availability with receptive state over time. This supports a route from altered biological coordination to functional change even when one concentration measurement does not shift. Dose, blood waveform and receptor sensitivity remain distinct measurable quantities.

The reproductive axis reaches both function and motivation

  1. Upstream quantity

    Hormonal and neural regulation

  2. Shared interface

    Sexual processing and responsiveness

  3. Downstream output

    Initiation, partner response and reproductive opportunity

A reproductive model needs the formation of an attempt as well as success conditional on it. The biological system contributes to both. This makes desire and initiative part of the explanation rather than fixed external inputs.

Relations mesurées

Finkelstein separates testosterone and estradiol contributions using controlled suppression and replacement. Mills’s kisspeptin crossover trial measures sexual-stimulus processing and penile response without a significant measured testosterone change. CatSper research independently locates a physiological fertilization gate. Finkelstein 2013i; Mills 2023i; Young 2024i.

Ce que BERM en déduit

Shared biological state can affect motivation, opportunity and physiological success. Sexual desire, wanting a child and an intentional attempt retain separate observations. Their transitions enter the couple’s calendar, alongside pregnancies beginning without an intentional attempt.

Certaines parties de cette page sont affichées en anglais en attendant la traduction.

Reproductive regulation · behaviour · feedback

Connect studies at the variable they actually share

Hormonal challenge, social removal and return, neural-circuit intervention and longitudinal follow-up identify different parts of reproductive regulation. The useful convergence is a named transition—such as LH responsiveness, partner-directed approach or caregiving contact. A shared cohort stays one data family when its hormone, sexual-activity and fatherhood findings are brought together.

Peragine et al. (2017)iGettler et al. (2013)i
Follow the three branches and their evidence

Biological state changes what effort is worth

  1. Upstream quantity

    Dopamine, sleep or inflammatory state

  2. Shared interface

    Reward and effort weights

  3. Downstream output

    Willingness to choose an available action

Several interventions converge on the distinction between being able to perform a task and wanting to select it. Their value for BERM lies in the decision variables they identify, including different responses to cognitive and physical effort.

Relations mesurées

Westbrook combines baseline dopamine synthesis, drug manipulation and cognitive-effort choice. Jurgelis’s sleep restriction changes cognitive-effort aversion relative to a short physical-effort task. Draper’s inflammatory challenge reduces high-effort acceptance without a matching significant change in reward sensitivity. Westbrook 2020i; Jurgelis 2022i; Draper 2018i.

Ce que BERM en déduit

The same external cost can receive a different subjective weight. BERM can therefore explain why a coherent account of insufficient time or energy may follow an altered biological state. A quantitative model preserves the intervention, baseline state, task and measured cost rather than imposing one universal motivation factor.

The reported reason is an observable in the chain

  1. Upstream quantity

    State, valuation and chosen outcome

  2. Shared interface

    Interpretation and deliberation

  3. Downstream output

    Expressed reasons and later commitments

A reason can describe a decision, help form it, and later guide another decision. Its place in the chain depends on timing. BERM treats the experienced value and the explanation of that value as outputs of the same biological and cognitive process.

Relations mesurées

Johansson’s choice-blindness intervention shows that people can justify an unnoticed substituted choice outcome. Eisenegger’s testosterone experiment distinguishes a randomized biological intervention from a later observed belief about that intervention. The belief association is not an experimentally isolated causal effect. Johansson 2005i; Eisenegger 2010i.

Ce que BERM en déduit

Reported reasons cannot automatically close the explanation upstream of biology. A change in motivation can be experienced as a change in what makes sense, and its verbal account can become feedback. These experiments do not assign a universal fraction of human reasoning to retrospective rationalization.

Social values and learning carry state into later action

  1. Upstream quantity

    Neuromodulatory, nutritional and sleep state

  2. Shared interface

    Harm weights and feedback updating

  3. Downstream output

    Social choices and accumulated action history

Socially consequential decisions remain decisions made by biological organisms. The bridge to durable patterns is the combination of current valuation with learning: today’s state affects both today’s action and what is carried into the next encounter.

Relations mesurées

Crockett manipulates serotonin- and dopamine-related signaling in choices trading money against harm. Strang changes breakfast composition and observes altered rejection of unfair offers. Lim measures altered positive-feedback learning and choice consistency under sleep restriction. Westbrook’s later publication supplies related learning outcomes within the RADBOUD-DA dataset family. Crockett 2015i; Strang 2017i; Lim 2026i; Westbrook 2025i.

Ce que BERM en déduit

BERM carries state into social decision weights and the learning rule. Repetition can turn a transient shift into a durable action pattern through remembered outcomes and changed opportunities. The same mechanism can yield different signs for different choices because the task’s rewards and harms differ.

One organism’s output becomes another’s environment

  1. Upstream quantity

    Initiatives, responses and repeated actions

  2. Shared interface

    Dyadic interaction and network position

  3. Downstream output

    Collective outcomes and institutional renewal

The transition to society is a composition of encounters. Pair success depends on both participants; propagation depends on who interacts with whom and how actions alter future participation. Stored consequences give institutions and ecosystems their longer timescales.

Relations mesurées

Weisman’s father–infant intervention locates changes in an untreated partner’s behavior and physiological response during interaction. Paluck’s school-network intervention connects participants’ network positions to community conflict reports. Ben Simon combines distinct sleep, diary and donation studies; willingness to help and aggregated donations remain different outcomes. Weisman 2012i; Paluck 2016i; Ben Simon 2022i.

Ce que BERM en déduit

Individual effects need not be identical to create a stable shift in the aggregate distribution. BERM connects biological action probabilities to encounter rates, network transmission, participation and stored institutional capacity. This is a synthesis of distinct measured links; its coefficients belong to the population and time scale being modeled.

Parsimony in the joint pattern

BERM derives physiological and behavioral outputs from a shared time-dependent biological state; the field-to-state coupling is the separately specified upstream step of the chain.

Parsimony becomes substantive when the same measured states explain several outcomes together. Near a specified baseline, a local approximation is ΔY = JΔS + ε. If k shared state variables generate the shared component, its covariance JΣS Jᵀ has rank at most k. This is a conditional mathematical constraint, not a covariance pattern already demonstrated for BERM.

ΔY=JΔS+ϵ,rank(JΣSJT)k\Delta\mathbf Y=J\Delta\mathbf S+\epsilon,\qquad\operatorname{rank}(J\Sigma_SJ^{\mathsf T})\leq k

This makes studies measuring hormones, desire, fatigue, choice and perceived change in the same people especially valuable. Different publications from the same cohort supply connected outputs. Independent interventions reaching the same interface provide another kind of convergence. Publication count alone measures neither kind.

Data that join the levels

These existing resources make the proposed interfaces concrete. Availability describes the actual shared material; access-controlled individual data are distinguished from public derivatives. The synthesis identifies analyses to do rather than reporting a reanalysis already performed.

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Poursuivre l’explication

Read the whole model in order

Start with the premises and follow the connected explanation through physics, biology, behavior and civilization.