Numerous studies have shown that older adults exhibit deficits in motor sequence learning, but the mechanisms underlying this effect remain unclear. Our recent work has shown that visuospatial working-memory capacity predicts the rate of motor sequence learning and the length of motor chunks formed during explicit sequence learning in young adults. In the current study, we evaluate whether age-...

Along with the rapid development of deep learning in practice, theoretical explanations for its success become urgent. Generalization and expressivity are two widely used measurements to quantify theoretical behaviors of deep learning. The expressivity focuses on finding functions expressible by deep nets but cannot be approximated by shallow nets with the similar number of neurons. It usually ...

We develop unified information-theoretic machinery for deriving lower bounds for passive and active learning schemes. Our bounds involve the so-called Alexander’s capacity function. The supremum of this function has been recently rediscovered by Hanneke in the context of active learning under the name of “disagreement coefficient.” For passive learning, our lower bounds match the upper bounds o...

Using a ‘process’ based conception of absorptive capacity, this paper reports the findings from an ethnography of organizational learning conducted within the marketing department of the UK’s postal provider, Royal Mail. Through vignettes of two contrasting marketing projects undertaken in conjunction with external partners, the results show that interorganizational learning is supported by inf...

The brain has a powerful capacity for statistical learning–an ability to detect statistical regularities in the environment in order to make predictions and guide behaviour–often without conscious awareness. It has been claimed that statistical learning plays a key role in a range of everyday perceptual and cognitive processes including those associated with language. There is demonstration tha...

Preprint Abstract Palimpsest or forgetful learning rules for attractor neural networks do not suuer from catastrophic forgetting. Instead they selectively forget older memories in order to store new patterns. Standard palimpsest learning algorithms have a capacity of up to 0:05n, where n is the size of the network. Here a new learning rule is introduced. This rule is local and incremental. It i...

Studies have suggested that cognitive processes such as working memory and temporal control contribute to motor sequence learning (cf. Ashe et al., 2006). These processes engage overlapping brain regions with sequence learning, but concrete evidence has been lacking. In the current study, we determined whether limits in visuospatial working memory capacity and temporal control abilities affect ...

Studies have suggested that cognitive processes such as working memory and temporal control contribute to motor sequence learning. These processes engage overlapping brain regions with sequence learning, but concrete evidence has been lacking. In this study, we determined whether limits in visuospatial working memory capacity and temporal control abilities affect the temporal organization of ex...

Objective(s): Crocin influences many biological functions including memory and learning. The present study was aimed to investigate the effects of crocin on learning and memory impairments in streptozotocine-induced diabetic rats. Materials and Methods: Diabetes was induced by intraperitoneal (IP) injection of streptozotocin (STZ, 45 mg/kg). Transfer latency (TL) paradigm in elevated plus-maze ...

This paper reports on an adaptation and validation study of Self-regulating Capacity in Vocabulary Learning Scale (Tseng et al. 2006) in a Japanese EFL setting. The piloting phase revealed that factor structures were different from those in the original study. The main study, including a self-reported measure of procrastination to explore the convergent evidence of the construct validity, sugge...