A neural network model of the structure and dynamics of human personality.
Open accessAbstract
We present a neural network model that aims to bridge the historical gap between dynamic and structural approaches to personality. The model integrates work on the structure of the trait lexicon, the neurobiology of personality, temperament, goal-based models of personality, and an evolutionary analysis of motives. It is organized in terms of two overarching motivational systems, an approach and an avoidance system, as well as a general disinhibition and constraint system. Each overarching motivational system influences more specific motives. Traits are modeled in terms of differences in the sensitivities of the motivational systems, the baseline activation of specific motives, and inhibitory strength. The result is a motive-based neural network model of personality based on research about the structure and neurobiology of human personality. The model provides an account of personality dynamics and person-situation interactions and suggests how dynamic processing approaches and dispositional, structural approaches can be integrated in a common framework.
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The opposite traits in three of the major dimensions of the Big Five model (Neuroticism, Extraversion, Conscientiousness) may result in different cognitive effects of AMP.
“The opposite traits in three of the major dimensions of the ‘Big Five’ model: Neuroticism (confident–anxious), Extraversion (sociable–shy), and Conscientiousness (industrious–lazy) that were characterised by Read et al. (2010) may result in different cognitive effects of AMP.”
From Systematic reviews of the acute effects of amphetamine on working memory and other cognitive performances in healthy individuals, with a focus on the potential influence of personality traits (2023) · cites this paper as Read et al., 2010
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“Agreeableness and conscien- tiousness (DeYoung, 2013; John et al., 2008; McCrae & John, 1992; Read et al., 2010).”
Background
- Authors
- Read, S. J., Monroe, B. M., Brownstein, A. L., Yang, Y., Chopra, G., & Miller, L. C.
- Affiliations
- University of Southern California (US)
- Venue
- Psychological Review
- Published
- 2010
- Volume
- 117
- Issue
- 1
- Pages
- 61-92
- ISSN
- 0033-295X (ISSN-L)
- 1939-1471
- OpenAlex
- W2118140250
- Cited by
- 257
- References
- 18
- Citations by year
- 2026: 3 · 2025: 3 · 2024: 7 · 2023: 9 · 2022: 7 · 2021: 22 · 2020: 54 · 2019: 28 · 2018: 11 · 2017: 22 · 2016: 17 · 2015: 14 · 2014: 17 · 2013: 11 · 2012: 16
- FWCI
- 14.72
- Type
- journal article
- Language
- en
- Open access
- Licence
- cc-by-nc-nd
- Locations
- Psychological Review (publishedVersion)
- PubMed (publishedVersion)
- CEIBS Institutional Repository (submittedVersion, cc-by-nc-nd)
- Topics
- Social Sciences › Psychology › Clinical Psychology › Personality Traits and Psychology
- Social Sciences › Psychology › Applied Psychology › Psychological Testing and Assessment
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Keywords
- personality structure, personality dynamics, neural network model, temperament, motives, disinhibition, person-situation interaction, neurobiology of personality
- MeSH terms
- Brain, Goals, Humans, Motivation, Personality, Psychological Theory, Neural Networks, Computer
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