{rfName}
Ps

Indexed in

License and use

Icono OpenAccess

Citations

Altmetrics

Article has an altmetric score of 1

Analysis of institutional authors

Martin MaCorresponding AuthorGarcía-Gutiérrez CAuthor

Share

June 5, 2023
Publications
>
Article
Sí

Psychological Implicit Motives Construct as an Emergent Fractal Attractor from Intermittent Neurophysiological Responses: Simulation and Entropy-like Characterization

Publicated to:Entropy. 25 (5): 711- - 2023-04-25 25(5), DOI: 10.3390/e25050711

Authors: Martín, MA; Vara, C; García-Gutiérrez, C

Affiliations

McGill Univ, Dept English, Montreal, PQ H3A 0G4, Canada - Author
Univ Politecn Madrid, Dept Appl Math, Madrid 28040, Spain - Author
Universidad Politécnica de Madrid - Author
Université McGill - Author

Abstract

Implicit Motives are non-conscious needs that drive human behavior towards the achievement of incentives that are affectively incited. Repeated affective experiences providing satisfying rewards have been held responsible for the building of Implicit Motives. Responses to rewarding experiences have a biological basis via close connections with neurophysiological systems controlling neurohormone release. We propose an iteration random function system acting in a metric space to model experience–reward interactions. This model is based on key facts of Implicit Motive theory reported in a broad number of studies. The model shows how (random) responses produced by intermittent random experiences create a well-defined probability distribution on an attractor, thus providing an insight into the underlying mechanism leading to the emergence of Implicit Motives as psychological structures. Implicit Motives’ robustness and resilience properties appear theoretically explained by the model. The model also provides uncertainty entropy-like parameters to characterize Implicit Motives which hopefully might be useful, beyond the mere theoretical frame, when used in combination with neurophysiological methods.

Keywords

arousalinformation entropyiterated random function systemsImplicit motivesInformation entropyIterated random function systemsSystems

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Entropy due to its progression and the good impact it has achieved in recent years, according to the agency WoS (JCR), it has become a reference in its field. In the year of publication of the work, 2023, it was in position 44/112, thus managing to position itself as a Q2 (Segundo Cuartil), in the category Physics, Multidisciplinary. Notably, the journal is positioned en el Cuartil Q2 para la agencia Scopus (SJR) en la categoría Physics and Astronomy (Miscellaneous).

Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2025-07-15:

  • The use, from an academic perspective evidenced by the Altmetric agency indicator referring to aggregations made by the personal bibliographic manager Mendeley, gives us a total of: 6.
  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 10 (PlumX).

With a more dissemination-oriented intent and targeting more general audiences, we can observe other more global scores such as:

  • The Total Score from Altmetric: 0.5.
  • The number of mentions on the social network X (formerly Twitter): 1 (Altmetric).

It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

  • The work has been submitted to a journal whose editorial policy allows open Open Access publication.
  • Assignment of a Handle/URN as an identifier within the deposit in the Institutional Repository: https://oa.upm.es/81940/

As a result of the publication of the work in the institutional repository, statistical usage data has been obtained that reflects its impact. In terms of dissemination, we can state that, as of

  • Views: 79
  • Downloads: 23

Leadership analysis of institutional authors

This work has been carried out with international collaboration, specifically with researchers from: Canada.

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (MARTIN MARTIN, MIGUEL ANGEL) and Last Author (GARCIA-GUTIERREZ BAEZ, CARLOS).

the author responsible for correspondence tasks has been MARTIN MARTIN, MIGUEL ANGEL.