What do we learn when we practice a simple perceptual task? Many studies have suggested that we learn to refine or better select the sensory representations of the task-relevant dimension. Here we show that learning is specific to the trained structural regularities. Specifically, when this structure is modified after training with a fixed temporal structure, performance regresses to pretrainin...

We consider here the interaction of direct and inverse cascades in a hierarchical nonlinear system that is continuously loaded by external forces. The load is applied to the largest element and is transferred down the hierarchy to consecutively smaller elements, thereby forming a direct cascade. The elements of the system fail (i. e., break down) under the load. The smallest elements fail first...

model of material resources management, taking into account the importance hierarchy structuring information flows, in which conditions for gradual development intelligent agriculture are laid down. The proposals include: multi­module software internal and external integrated flows data on costs; a single digital platform opera tional with an expanded list suppliers, ability to search seeds, ag...

The version of the higher-dimensional Randall-Sundrum (RS) model with matter in the bulk, which addresses the gauge hierarchy problem, has additional attractive features. In particular, it provides an intrinsic geometrical mechanism that can explain the origin of the large mass hierarchies among the Standard Model fermions. Within this context, a good solution for the gauge hierarchy problem co...

classificatory schemes need to be justified in concrete terms. The dimensions concept can be justified by pointing to areas where progress is slow, as I have done above; or by criticising existing systems; or by raising design issues in relation to present growth areas. Let’s take the last, and look at OOPS. Object-oriented systems have been praised as resolving some cognitive problems (Rosson ...