*4.2.1.3 Improving deployment requires coordination of neuronal groups*

Models are composite 'objects,' i.e., synergistic groups of coordinated packets. For example, neuronal group 'catapult' comprises packets 'board', 'base', 'projectile' and 'target' and can be 'tuned' to different states of the composite object. A crucial point: feature space of 'catapult' has dimensionality higher than that of the constituents, rotating the 'catapult' vector (e. g, switching between states 'unloaded'➔ 'loaded' ➔ 'aimed', etc.) reflects coordinated movement of the constituent vectors (e.g., envisioning a receding target brings to mind the image of a projectile moving away from the base). **Figure 10** maps these notions on the organization depicted in **Figure 7c**.
