Evidence map›Paper›PMID 42473300›Full record

ReviewJournal of the experimental analysis of behavior2026

In praise of the hyperbola.

C M Bradshaw

Abstract readReview
In one paragraph

Review in Journal of the experimental analysis of behavior, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. In praise of the hyperbola.Journal of the experimental analysis of behavior · 2026
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

C M BradshawUniversity of Nottingham, Nottingham, England.ORCID https://orcid.org/0009-0004-7508-2829

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Following a recent review by Killeen (2024) on the utility of hyperbolic functions in the experimental analysis of behavior, this article discusses recent developments of the multiplicative hyperbolic model (MHM) of reinforcer value, according to which "value" is defined as a dimensionless intervening variable derived from the multiplicative combination of separate hyperbolic functions that represent the influence of particular features of a reinforcing event (e.g. quantity, immediacy). The data reviewed here pertain to the choice behavior of rats responding for soluble reinforcers, such as sucrose solutions. Three main areas are covered: the determinants of the maximal value attainable with a particular reinforcer, the incorporation of concentration as a hyperbolic term in the definition of value, and the values of mixtures of appetitive and aversive tastants. It is argued that MHM is fundamentally a descriptive model; value is dimensionless, and its subordinate intervening variables, which define the individual hyperbolic functions, are either dimensionless or share the same scale of measurement as their respective independent variables. Therefore, it would be a mistake to identify any part of the model with any underlying biological entity. A comparison is drawn between MHM and its algebraically close analogue, classical pharmacological receptor theory.

Indexed as

Choice BehaviorModels, PsychologicalReinforcement, PsychologyAnimalsConditioning, OperantRatsmultiplicative hyperbolic modelpositive and negative valuereinforcer concentrationreinforcer magnitudereinforcer value

Identifiers

PMID42473300
PMCPMC13382213

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.