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This paper considers neural representation through the lens of active inference, a normative framework for understanding brain function. It delves into how living organisms employ generative models to minimize the discrepancy between predictions and observations (as scored with variational free energy). The ensuing analysis suggests that the brain learns generative models to navigate the world adaptively, not (or not solely) to understand it. Different living organisms may possess an array of generative models, spanning from those that support action‐perception cycles to those that underwrite planning and imagination; namely, from explicit models that entail variables for predicting concurrent sensations, like objects, faces, or people—to action‐oriented models that predict action outcomes. It then elucidates how generative models and belief dynamics might link to neural representation and the implications of different types of generative models for understanding an agent's cognitive capabilities in relation to its ecological niche. The paper concludes with open questions regarding the evolution of generative models and the development of advanced cognitive abilities—and the gradual transition from pragmatic to detached neural representations. The analysis on offer foregrounds the diverse roles that generative models play in cognitive processes and the evolution of neural representation. [ABSTRACT FROM AUTHOR]

Longitudinal studies on musical development can provide very valuable insights and potentially evidence for causal mechanisms driving the development of musical skills and cognitive resources, such as working memory and intelligence. Nonetheless, quantitative longitudinal studies on musical and cognitive development are very rare in the published literature. Hence, the aim of this paper is to document available longitudinal evidence on musical development from three different sources. In part I, data from a systematic literature review are presented in a graphical format, making developmental trends from five previous longitudinal studies comparable. Part II presents a model of musical development derived from music‐related variables that are part of the British Millennium Cohort Study. In part III, data from the ongoing LongGold project are analyzed answering five questions on the change of musical skills and cognitive resources across adolescence and on the role that musical training and activities might play in these developmental processes. Results provide evidence for substantial near transfer effects (from musical training to musical skills) and weaker evidence for far‐transfer to cognitive variables. But results also show evidence of cognitive profiles of high intelligence and working memory capacity that are conducive to strong subsequent growth rates of musical development. [ABSTRACT FROM AUTHOR]