Developmental constraints, modules, and evolvability

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The Evolution of Genetic Architecture (2006, background): “In general, pleiotropy is determined by organismal architecture and may evolve by intrinsic mechanisms (Houle 2001, Klingenberg 2005).”
Diffusion-based neuromodulation can eliminate catastrophic forgetting in simple neural networks (2017, background): “One of the benefits of modularity is that it allows the components of a system to be easily reconfigured or replaced [34, 36, 38, 39].”
Building Developmental Integration into Functional Systems: Function-Induced Integration of Mandibular Shape (2009, background): “Integration due to direct interactions is thought to be exceptionally difficult to modify by natural selection because that could entail restructuring developmental pathways; in contrast, selection for favorable pleiotropic effects should be readily accomplished ( Klingenberg 2004, 2005 ).”
Morphological Integration and Developmental Modularity (2008, background): “(Modified from Klingenberg 2005.) cell populations that form the precursors of tetrapod limb bones (e.g., Mariani & Martin 2003) or the sequential subdivision of developmental fields (Davidson 1993, Arques et al. 2007).”
Cranial integration and modularity: insights into evolution and development from morphometric data (2013, methodology): “A tool that can be used for inferring direct interactions between the developmental pathways that produce different morphological traits is fluctuating asymmetry (Klingenberg, 2003, 2005).”