Topic: learning efficiency

Learning-to-learn, a progressive acceleration of learning while solving a series of similar problems, represents a core process of knowledge acquisition. To investigate its underlying brain mechanism, we trained a recurrent neural network (RNN) model on a series of arbitrary sensorimotor mapping problems. The network displayed an exponential speedup in learning across problems. The neural substrate of a sensorimotor task schema emerges as low-dimensional neural representations of task variables that are shared across problems. Its reuse limits the connection weight changes required to learn ne

Over 95% of public schools in Japan have started using digital devices for learning. Previous studies examined the effects of on-demand classes compared with face-to-face (FTF) classes on grades in adults, but the results were inconsistent. In addition, no studies have examined the immediate effects or included children. While improving these problems, this study aimed to examine the immediate effects of on-demand classes on children's learning and brain activities. Four subjects completed the experiments and were included for analysis. Teachers and students’ cerebral blood flow changes in pre

Cognitive flexibility, the capacity to adjust thoughts and actions in response to sudden changes in environment, situation, or task demands, is essential for a healthy daily life and for understanding maladaptive behaviors. Reversal learning tasks in animal research are commonly employed to evaluate this adaptability. In particular, serial reversal learning paradigms are useful to assess the ability to switch task-solving strategies. However, conventional serial reversal learning tasks in mice, in general, are time-consuming and labor intensive, limiting its broader application. To address thi