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In this response, we consider four main issues arising from the commentaries to the target article. These include further details of the theory of interactive specialization, the relationship between neuroconstructivism and selectionism, the implications of neuroconstructivism for the notion of representation, and the role of genetics in theories of development. We conclude by stressing the importance of multidisciplinary approaches in the future study of cognitive development and by identifying the directions in which neuroconstructivism can expand in the Twenty-first Century. [ABSTRACT FROM AUTHOR]

Neuroconstructivism (Mareschal et al. 2007a) provides a useful framework for how to integrate research from different levels of analysis to model the multidimensional dynamics of development. However, the authors overlook the topic of meaning, a fundamental feature of cognition and subjective experience and also downplay the nonlinear nature of developmental causality. Neuroconstructivism is overly optimistic on the point of how well current computational models can address the challenge of complexity in developmental science. [ABSTRACT FROM AUTHOR]

The authors of this commentary concur with the viewpoint presented by Mareschal et al. (2007a; 2007b) concerning the relevance of neurological data when theorizing about cognitive development. However, we argue here that Mareschal et al. fail to consider adequately the relevance of reorganizational brain events occurring through adolescence and early adulthood, especially regarding the prefrontal cortex and the ontogeny of executive functioning. In addition, evidence from the lifespan neurodevelopmental literature indicates that increased activity of neural networks may signify less efficient processing. This observation is of potential relevance when considering the neurological changes associated with cognitive development during childhood and adolescence. [ABSTRACT FROM AUTHOR]

Neurocostructivism aims to illustrate and explain cognitive development in relation to the underlying neural structures, with the help of computational models. This enterprise should be grounded both in the evolutionary and in the developmental perspectives. In both, selection plays a fundamental role in the construction of neural and cognitive structures. [ABSTRACT FROM AUTHOR]