The role of acquired error-detection capabilities in skill learning was investigated by manipulating the delay of knowledge of results (KR). Compared with delayed feedback, instantaneous KR should be detrimental to the learning of error-detection capabilities because it should tend to block spontaneous subjective evaluation of response-produced feedback. Weaker error-detection capabilities shou...

Coactive learning describes the interaction between an online structured learner and a human user who corrects the learner by responding with weak feedback, that is, with an improved, but not necessarily optimal, structure. We apply this framework to discriminative learning in interactive machine translation. We present a generalization to latent variable models and give regret and generalizati...

A common t.echnique in neurocontrol is that. of controlling a plant by static state feedback using the plant's inverse dynamics , which is approximated t.hrough a learning proce:flfl. It is ,"vdl knu\vn that in t.his control mode: e:ve:n small approximation errors or, which is the same, small perturbations of the plant may lead to insta­ bility. Here, a novel approach is proposed to overcome th...

This study aims to better understand the effect of practice schedule and feedback providing types. In two separate experiments the contextual interference effect in bandwidth and self-control feedback conditions on relative and absolute timing learning was examined. In experiment I, the effect of contextual interference using bandwidth and self-control feedback on absolute timing learning (para...

Most modern research on the effects of feedback during learning has assumed that feedback is an error correction mechanism. Recent studies of feedback-timing effects have suggested that feedback might also strengthen initially correct responses. In an experiment involving cued recall of trivia facts, we directly tested several theories of feedback-timing effects and also examined the effects of...

Mesencephalic dopaminergic system (MDS) neurons may participate in learning by providing a prediction error signal to their targets, which include ventral striatal, orbital, and medial frontal regions, as well as by showing sensitivity to the degree of uncertainty associated with individual stimuli. We investigated the mechanisms of probabilistic classification learning in humans using function...

A simple modification of the decision feedback equalizer (DFE) slicer is proposed to reduce the effect of error propagation. A comparison of the performance of the modified DFE and conventional DFE is made for specific channels. On these channels, modified DFE performs only marginally better than the conventional DFE in terms of average error probability, but may offer some advantages in terms ...

Does virtual reality (VR) represent a useful platform for teaching real-world motor skills? In domains such as sport and dance, this question has not yet been fully explored. The aim of this study was to determine the effects of two variations of real-time VR feedback on the learning of a complex dance movement. Novice participants (n 1⁄4 30) attempted to learn the action by both observing a vi...

Recent findings have demonstrated that reward feedback alone can drive motor learning. However, it is not yet clear whether reward feedback alone can lead to learning when a perturbation is introduced abruptly, or how a reward gradient can modulate learning. In this study, we provide reward feedback that decays continuously with increasing error. We asked whether it is possible to learn an abru...