音乐训练对统计学习能力的促进作用

统计学习能力作为快速习得环境中信息规则的先决条件之一,有助于个体以较小的消耗代价适应环境。音乐训练作为一种由多个感官共同参与的强化活动,被广泛认为是有助于提升认知能力的有效手段。随着统计学习在音乐适应中核心地位的确认以及音乐训练效应的反复验证,近年来,陆续有研究在行为表现和脑机制上证实了音乐训练能够增强个体对输入信息中统计规则的敏感性、促进听觉统计学习能力的提升。然而,关于音乐训练能否促进视觉等其他模态的统计学习能力,目前还存在不一致的结果。未来研究还应对跨模态统计学习能力的音乐训练促进效应做进一步探索;也可选用新手被试进行音乐训练干预,以明确音乐训练与各模态统计学习能力增强之间的因果关系。     

转换概率和词长期待对语音统计学习的影响

语音统计学习指个体在加工人工语言过程中, 可以追踪音节间的转换概率实现切分语流、提取词(语)的过程。本研究采用2(转换概率：高转换概率、低转换概率) × 2(词长期待：两音节、三音节)的混合实验设计来考察转换概率和词长期待对语音统计学习的影响, 转换概率是被试间变量, 词长期待是被试内变量。事后检验发现, 仅在低转换概率人工语言的三音节迫选条件下, 被试没有表现出显著的学习效果。事先对比发现, 在学习低转换概率的人工语言后, 被试完成三音节迫选试次的成绩显著低于两音节迫选试次; 在三音节迫选试次中, 学习低转换概率人工语言被试的成绩也显著低于学习高转换概率被试的成绩。以上结果说明, 转换概率和词长期待共同影响个体语音统计学习的效果。     

One year after ischemic stroke: Changes in leg movement path stability in a speed–accuracy task but no major effects on the hands

First year after the stroke is essential for motor recovery. The main motor control strategy (i.e., faster movement production at the expense of lower movement accuracy and stability, or greater movement accuracy and stability at the expense of slower movement) selected by poststroke patients during a unilateral speed–accuracy task (SAT) remains unclear. We aimed to investigate the poststroke (12 months after stroke) effects on the trade-off between movement speed and accuracy, and intraindividual variability during a motor performance task. Healthy right-handed men (n = 20; age ∼ 66 years) and right-handed men after ischemic stroke during their post rehabilitation period (n = 20; age ∼ 69 years) were asked to perform a simple reaction task, a maximal velocity performance task and a SAT with the right and left hand, and with the right and left leg. In the hand movement trial, reaction time and movement velocity (V_max) in the SAT were slower and time to V_max in the SAT was longer in the poststroke group (P < .01). In the leg movement trial, poststroke participants reached a greater V_max in the SAT than the healthy participants (P < .01). The greatest poststroke effect on intraindividual variability in movements was found for movement path in the SAT, which was significantly greater in the legs than in the hands. Poststroke patients in the first year after stroke mainly selected an impulsive strategy for speed over hand and leg motor control, but at the expense of lower movement accuracy and greater variability in movement.     

Lottery judgments: A philosophical and experimental study

In this paper, we present the results of two surveys that investigate subjects’ judgments about what can be known or justifiably believed about lottery outcomes on the basis of statistical evidence, testimonial evidence, and “mixed” evidence, while considering possible anchoring and priming effects. We discuss these results in light of seven distinct hypotheses that capture various claims made by philosophers about lay people’s lottery judgments. We conclude by summarizing the main findings, pointing to future research, and comparing our findings to recent studies by Turri and Friedman.     

Undermined

A popular strategy for understanding the probabilities that arise in physics is to interpret them via reductionist accounts of chance—indeed, it is sometimes claimed that such accounts are uniquely well-suited to make sense of the probabilities in classical statistical mechanics. Here it is argued that reductionist accounts of chance carry a steep but unappreciated cost: when applied to physical theories of the relevant type, they inevitably distort the relations of probability that they take as input.     

Is statistical learning a mechanism?

Philosophers of science have offered several definitions of mechanism, most of which have biological or neuroscientific roots. In this paper, I consider whether these definitions apply equally well to cognitive science. I examine this question by looking at the case of statistical learning, which has been called a domain-general learning mechanism in the cognitive scientific literature. I argue that statistical learning does not constitute a mechanism in the philosophical sense of the term. This conclusion points to significant limitations in the scope of the mechanist philosophy when it comes to accounting for explanation in cognitive science.     

Timing recalibration in childhood Tourette syndrome associated with persistent pimozide treatment

In this study, we have tested the effects of the dopamine D₂ receptor blocker pimozide on timing performance in patients with Tourette syndrome (TS). Nine children with TS were tested off‐medication and following 3 months of daily treatment with pimozide. Subjects completed a time reproduction and a time production task using supra‐second temporal intervals. We show that pimozide improves motor timing performance by reducing the patients' variability in reproducing the duration of visual stimuli. On the other hand, this medication has no effect on the reproduction accuracy and on both variability and accuracy of the performance on the time production task. Our results suggest that pimozide might have improved motor timing variability as a result of its beneficial side effect on endogenous dopamine levels (i.e., normalization).     

Origins,uses of,and relations between goal programming and data envelopment analysis

Origins and uses of ‘goal programming’ and ‘data envelopment analysis’ (DEA) are identified and discussed. The purpose of this paper is not only to review some of the history of these developments, but also to show some of their uses (e.g. in statistical regression formulations) in order to suggest paths for possible further developments. Turning to how the two types of models relate to each other, the ‘additive model’ of DEA is shown to have the same structure as a goal programming model in which only ‘one‐sided deviations’ are permitted. A way for formally relating the two to each other is then provided. However, the objectives are differently oriented because goal programming is directed to future performances as part of the planning function whereas DEA is directed to evaluating past performances as part of the control function of management. Other possible ways of comparing and combining the two approaches are also noted including statistical regressions that utilize goal programming to ensure that the resulting estimates satisfy the multi‐criteria conditions that are often encountered in managerial applications. Both goal programming and DEA originated in actual applications that were successfully addressed. The research was then generalized and published. This leads to what is referred to as an ‘applications‐driven theory’ strategy for research that is also described in this paper. Copyright © 2006 John Wiley & Sons, Ltd.