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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.
この段階への入力
Lindgren’s 2025 premise and its tensor consequence, followed by the explicit geometry-to-receptor bridge. The component literature then supplies measured biological relationships.
次の段階への出力
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 →カルシウム · 酸化還元 · ホルモン産生
一つの受容状態からホルモン産生へ至る複数の経路
カルシウム信号、酸化還元予備能、細胞維持は、コレステロール供給とStARを介するミトコンドリア輸送で合流します。BERMは測定された生物学的段階を通じて、電磁場実験と構成要素への介入を結びます。局所的な産生はホルモン利用可能性と組織応答につながります。
CaMKI–NUR77–StAR経路とRORα–BMAL1時計経路は、それぞれの証拠を保ちながらステロイド産生へ合流します。
共通機構と研究を調べるCRY, hormone receptors and clocks close a regulatory loop
Upstream quantity
Field response and CRY state
Shared interface
Receptor response / cAMP / clock phase
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.
測定された関係
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.
BERMによる推論
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
Upstream quantity
Dose, pulses and clock phase
Shared interface
Time-dependent tissue receptivity
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.
測定された関係
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.
BERMによる推論
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
Upstream quantity
Hormonal and neural regulation
Shared interface
Sexual processing and responsiveness
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.
測定された関係
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.
BERMによる推論
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.
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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.
Follow the three branches and their evidenceBiological state changes what effort is worth
Upstream quantity
Dopamine, sleep or inflammatory state
Shared interface
Reward and effort weights
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.
測定された関係
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.
BERMによる推論
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
Upstream quantity
State, valuation and chosen outcome
Shared interface
Interpretation and deliberation
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.
測定された関係
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.
BERMによる推論
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.
One organism’s output becomes another’s environment
Upstream quantity
Initiatives, responses and repeated actions
Shared interface
Dyadic interaction and network position
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.
測定された関係
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.
BERMによる推論
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.
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.
CRY, hormone response and gene expression
Rizzini’s GSE124388 RNA-seq can be compared at defined pathways with Sherrard’s gene lists and Manella’s source data. The cell systems remain distinct.
Public RNA-seq and article supplements
Dopamine, effort and learning
Westbrook 2025: processed data from the RADBOUD-DA program. The 2020 and 2025 papers belong to a shared study family.
Open processed data · CC BY-SA 4.0
Hormones, desire and perceived change
Testosterone Trials connect hormone assays, sexual desire, fatigue, affect and self-reported change in the same participants.
Public dictionary · individual data by application
Sleep and feedback learning
Lim’s repository contains sleep measurements, participant files and analysis code for the sequential-updating task.
Public data and analysis repository
Sleep, helping and aggregate donations
Ben Simon’s shared files cover separate experimental, diary and aggregate donation analyses. The full donation register is a separate resource.
Public study files and aggregate data
Hormones, partners and motivation
NSHAP links older adults’ hormone measures, initiation and receptivity, partners and networks. Its population defines the inference scope.
Public and separately restricted files
関連する説明
Evidence registry
Browse the existing evidence catalogue and its research relationships.
Primary sources
Publication records and their connections to site claims.
How the reasoning works
Premises, derivation, synthesis and the interpretation of evidence.
Predictions
Follow the model’s consequences into specified outcomes.
Measurements and estimation
The physical observation route that informs the upstream state.
Cross-species connections
The parallel ecological branch and its existing evidence.
説明を続ける
Read the whole model in order
Start with the premises and follow the connected explanation through physics, biology, behavior and civilization.
Social values and learning carry state into later action
Upstream quantity
Neuromodulatory, nutritional and sleep state
Shared interface
Harm weights and feedback updating
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.
測定された関係
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 2015 ↗iDissociable Effects of Serotonin and Dopamine on the Valuation of Harm in Moral Decision MakingCurrent biology : CB · 2015 · journalメタデータ検証済み; Strang 2017 ↗iImpact of nutrition on social decision makingProceedings of the National Academy of Sciences of the United States of America · 2017 · journalメタデータ検証済み; Lim 2026 ↗iSleep restriction increases reward sensitivity during sequential updatingSleep · 2026 · journalメタデータ検証済み; Westbrook 2025 ↗iStriatal dopamine can enhance both fast working memory, and slow reinforcement learning, while reducing implicit effort cost sensitivityNature communications · 2025 · journalメタデータ検証済み.
BERMによる推論
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.