2018
DOI: 10.1037/xan0000157
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Individual differences are more than a gene × environment interaction: The role of learning.

Abstract: Individual differences in behavior are understood generally as arising from an interaction between genes and environment, omitting a crucial component. The literature on animal and human learning suggests the need to posit principles of learning to explain our differences. One of the challenges for the advancement of the field has been to establish how general principles of learning can explain the almost infinite variation in behavior. We present a case that: 1) individual differences in behavior emerge, in p… Show more

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Cited by 24 publications
(35 citation statements)
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References 234 publications
(373 reference statements)
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“…Moreover, both face stimuli were of Chinese males and presented in the same context (i.e. against a black screen) which could also have contributed to the difficulty amongst Global group participants to perceptually discriminate between the two stimuli, again contaminating differences between CS + and CS- (Byrom & Murphy 2018). Future studies might want to utilise a second, unrelated, CS-(e.g., a shape) or separate dangerous and safe contexts (Mühlberger et al 2014) to test these hypotheses.…”
Section: Discussionmentioning
confidence: 99%
“…Moreover, both face stimuli were of Chinese males and presented in the same context (i.e. against a black screen) which could also have contributed to the difficulty amongst Global group participants to perceptually discriminate between the two stimuli, again contaminating differences between CS + and CS- (Byrom & Murphy 2018). Future studies might want to utilise a second, unrelated, CS-(e.g., a shape) or separate dangerous and safe contexts (Mühlberger et al 2014) to test these hypotheses.…”
Section: Discussionmentioning
confidence: 99%
“…The current experiment presents a novel approach to investigating the relationship between human and nonhuman experiments relating to schizophrenia, attention, and anxiety because the rats’ stress levels were not manipulated for the purposes of the study, but rather the animals’ “temperaments” were used to predictor the development of latent inhibition. This approach is gaining currency across a range of investigations (Araya-Ajoy & Dingemanse, 2014; Byrom & Murphy, 2018; Sih et al, 2004), and adds a range of relevant dimensions to the discussion of how individual differences may affect learning processes, in ways that are obscured by the use of central tendencies (see Matzel, Wass, & Kolata, 2011). In addition, the current data also show the possibility of using a within-subject procedure to study latent inhibition in rats, which might have uses in the investigation of the impact of manipulations on that phenomena when the manipulations in themselves may be subject to large between-subject variation.…”
Section: Discussionmentioning
confidence: 99%
“…The current study aimed to explore the relationship between anxiety and latent inhibition in in rats without using a stressor by employing techniques from the growing study of “behavioral types” or “behavioral syndromes” – exploring the within-subject similarities in performance across a number of tasks (Araya-Ajoy & Dingemanse, 2014; Byrom & Murphy, 2018; Sih, Bell, & Johnson, 2004). In doing so, this presents an opportunity to develop a novel approach to relating nonhuman and human studies of anxiety and latent inhibition, as in such an approach the rats’ stress levels are not manipulated, but the animals’ “temperaments” are used as the predictor for the development of latent inhibition, as they often are in studies using humans (Braunstein-Bercovitz, 2000).…”
mentioning
confidence: 99%
“…Humans continuously adapt their actions to a changing environment. They do so in particular and unique ways associated with each individual (Roberts, 2009;Sauce and Matzel, 2013;Byrom and Murphy, 2018). Decisional strategies adopted by persons depend on internal (individual/genetic differences) and external (decision features, situational and environmental factors) factors (Appelt et al, 2011;Sauce and Matzel, 2013).…”
Section: Introductionmentioning
confidence: 99%