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Mathematical modeling of developmental signaling networks has played an increasingly important role in the identification of regulatory mechanisms by providing a sandbox for hypothesis testing and experiment design.
Given recent advances in research design and statistical modeling of developmental phenomena and their application to the study of the psychology of aging, we overview several analytic procedures and approaches that help to efficiently characterize aging-related change for various phenomena.
Maternal IQ is typically included in regression modeling of developmental studies on the effects of neurotoxic contaminants such as lead or PCBs to account for hereditary modification (Winneke 2011).
Thus microCT offers a source of quantitative data for modeling of developmental and evolutionary changes, and microCT imaging is already being applied to quantitative studies of variation [ 20] and of development [ 21].
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We implement a well-characterised, biologically inspired model of developmental synaptic plasticity on a Koala robot equipped with a binocular visual system.
Existing literature findings are reviewed and integrated according to an interactional transformational (IT) model of developmental psychopathology.
Perinatal stroke causes most hemiplegic cerebral palsy and, as a focal injury of defined timing in an otherwise healthy brain, is an ideal human model of developmental plasticity.
First, it will interrogate the experiences of some of the countries in the "Global South"—Singapore, South Korea, Botswana and Mauritius— that have experimented with the authoritarian and liberal democratic models of developmental state.
While fully acknowledging that these types of effects are present, the opposite possibility the degree to which manipulation might enhance representation or generate better models of developmental phenomena and mechanisms—has been largely overlooked.
The overarching goal of this effort is to develop trans-generational models of developmental cascades contributing to the emergence of common chronic disorders, such as depression, addictions, dementia and cardio-metabolic diseases.
In proposing a cognitive model of developmental transformations (DvT) links to allied professions are established and clinical case conceptualizations are broadened with relevance to a larger mental health audience.
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