知识类别和特点对内隐序列学习的影响

用序列学习中的反应时和错误个数间接测量被试的内隐知识,用再认成绩和预测成绩直接测量被试的外显知识,通过倒转不同的规则探讨了知识类别和特点对内隐序列学习的影响。结果表明：(1)内隐学习和外显学习可能分别依赖于两个独立的学习系统,且互不干扰;(2)当内隐序列学习既包含运动知识又包含概念知识时,知识类别和特点影响被试对序列知识的获得,被试较易获得运动知识;(3)在内隐序列学习中练习的数量也影响被试对序列知识的获得,序列学习是一个动态的过程。     

第二任务对内隐序列学习的影响

以位置序列为材料,考察注意资源在内隐序列学习中的作用。结果发现:(1)在单任务、有噪音、双任务三种实验条件下,被试均可以获得有关样例和规则的序列知识;(2)在单任务条件下,被试能够控制知识的表达,表现出一定的意识知识;而在双任务或有噪音条件下,被试获得的知识是无意识的。表明注意资源影响意识知识的获得,但并不一定会影响无意识知识的获得和表达。     

选择性注意对听觉内隐学习的影响

内隐学习被认为是人类无意识、无目的获得复杂规则的自动化过程。已有研究表明, 在人工语法学习范式下, 视觉内隐学习的发生需要选择性注意。为了考察选择性注意对内隐学习的影响是否具有通道特异性, 本研究以90名大学生为被试, 以人工语法为学习任务, 采用双耳分听技术, 在听觉通道同时呈现具有不同规则的字母序列和数字序列, 考查被试在听觉刺激下对注意序列和未注意序列构成规则的习得情况。结果发现：只有选择注意的序列规则被习得, 未选择注意的序列规则未能被习得。研究表明：在人工语法学习范式下, 只有选择注意的刺激维度能够发生内隐学习。选择性注意对内隐学习的影响具有跨通道的适用性, 不仅适用于视觉刺激, 也同样适用于听觉刺激。     

内隐序列学习中的渐进意识：来自习得知识的发展与遗忘的证据

内隐学习过程中习得知识的发展变化是内隐学习的一个重要特征。本研究采用序列反应时范式通过操纵学习进程（实验一）和学习与测验间的时间间隔（实验二）来考察内隐序列学习进程中习得知识的发展与遗忘特征,结果发现,（1）内隐序列学习中习得的无意识知识多于意识知识;（2）随着学习的推进,意识知识逐渐增加,而无意识知识则呈减弱趋势,证实了内隐学习的长时功效;（3）习得的无意识知识具有抗遗忘性,而意识知识在间隔8小时之后才开始出现遗忘。     

内隐序列学习表征方式的实验研究

采用Lewicki等人创造的“矩阵扫描”任务,对内隐序列学习的表征方式进行了研究。结果发现：规则试验的反应时显著低于随机试验,说明被试能够内隐地掌握复杂规则,没有证据表明这与“运动”频率的大小和序列样例的记忆有关;此外,序列结构也是影响内隐序列学习的因素之一。     

序列学习是否是内隐学习？

序列学习是继人工语法之后内隐学习的另一研究范式。以往观点认为,在练习后,被试对规则刺激和随机刺激在反应时上出现差异,就表明被试是内隐学习,这种差异量就是内隐学习量。但现在很多学者对序列学习是否内隐这一问题提出了疑问;运用新方法（过程分离法,简称PDP）的研究发现,序列学习是否内隐同反应-刺激间隔（RSI）有关,当RSI = 0时,序列学习才是内隐的;根据RSI提出了神经网络模型。     

内隐序列学习中转移组块的数量和位置效应

表征质量理论对意识增长持渐进观点,忽视新异刺激对意识的突变式影响;新异刺激理论强调意识突变,忽视新异刺激本身的表征质量增长。本研究采用经典确定性内隐序列学习范式,将转移组块作为新异刺激,操控其数量和位置,探究新异刺激如何通过表征质量来影响内隐学习和意识。结果表明：（1）数量效应显著,即两个转移组块更能促进内隐学习量,说明新异刺激本身需要足够的表征质量才能发挥“意外事件”的作用。（2）在位置效应上,两个转移组块且靠前的设置更能提高受控意识,表明第一个新异刺激必须出现在原序列初级表征质量阶段,才能使被试对新异刺激和原序列进行对比,加之第二个新异刺激的与之呼应,促进原序列意识增加。     

运动知识与概念知识概率学习下的内隐学习效应

研究采用序列学习范式,用反应时间接测量被试的内隐知识,问卷以及再认成绩直接测量被试的外显知识,并采用PDP测量被试的意识与无意识贡献率.结果表明:(1)无RSI条件下能习得一定的无意识知识,而在有RSI条件下习得的知识大部分能被外显地意识到.(2)当内隐序列学习中既包含运动知识又包含概念知识时,无RSI条件下易获得运动知识;而在有RSI条件下,如果时间充分且能协调注意资源,运动知识和概念知识均能有效学习.     

序列长度和统计结构对序列位置内隐学习的影响

除人工语法之外,序列反应时任务也是内隐学习研究最常用的程式之一。在使用序列反应时任务进行内隐学习研究时,有研究者发现,类似于外显学习,序列位置内隐学习中序列规则的长度越长,学习成绩越差;而Stlader则在研究中发现,序列位置内隐学习中所学序列的统计结构会极大地影响被试内隐学习成绩,统计结构越高学习效果越好。     

专家与新手教师内隐与外显学习的比较

教师作为典型的知识密集、技术密集的群体,其隐性知识也自然比较集中和典型,而专长研究可以有效地揭示教师的知识获取特点和学习规律。然而,以往的专长研究往往通过测量专家教师和新手教师在某方面的外显行为或外显知识的差异了解教师的知识结构和行为特点,这种做法由于忽略了教师的内隐学习和隐性知识,因此难以有效地揭示专家教师与新手教师在知识和能力结构上的真实差异。本研究借鉴认知心理学对专长的研究方式（即专家--新手比较）,运用经典的序列反应时任务（SRT）调整后的范式,采用带颜色边框的同一个学生的四种真实课堂表情图片作为刺激材料,以表情作为内隐学习的维度,以颜色作为外显学习的维度,对61名专家教师与88名新手教师在内隐/外显序列学习上的差异进行了比较研究。结果发现：（1）专家和新手教师被试群体均能够习得内隐/外显序列规则;（2）专家教师与新手教师在内隐学习上存在显著差异,专家教师内隐学习效果要优于新手教师;（2）专家教师与新手教师在外显学习维度上差异并不显著。结论：专家教师与新手教师有着近乎相当的外显学习能力和外显知识水平,但专家教师的内隐学习能力和隐性知识水平要显著高于新手教师。     

An old problem: how can we distinguish between conscious and unconscious knowledge acquired in an implicit learning task?

A long lasting debate in the field of implicit learning is whether participants can learn without acquiring conscious knowledge. One crucial problem is that no clear criterion exists allowing to identify participants who possess explicit knowledge. Here, we propose a method to diagnose during a serial reaction time task those participants who acquire conscious knowledge. We first validated this method by using Stroop-like material during training. Then we assessed participants’ knowledge with the Inclusion/Exclusion task (Experiment 1) and the wagering task (Experiment 2). Both experiments confirmed that for participants diagnosed as having acquired conscious knowledge about the underlying sequence the Stroop congruency effect disappeared, whereas for participants not diagnosed as possessing conscious knowledge it only slightly decreased. In addition, both experiments revealed that only participants diagnosed as conscious were able to strategically use their acquired knowledge. Thus, our method allows to reliably distinguish between participants with and without conscious knowledge.     

Can unconscious knowledge allow control in sequence learning?

This paper investigates the conscious status of both the knowledge that an item is legal (judgment knowledge) and the knowledge of why it is legal (structural knowledge) in sequence learning. We compared ability to control use of knowledge (Process Dissociation Procedure) with stated awareness of the knowledge (subjective measures) as measures of the conscious status of knowledge. Experiment 1 showed that when people could control use of judgment knowledge they were indeed conscious of having that knowledge according to their own statements. Yet Experiment 2 showed that people could exert such control over the use of judgment knowledge when claiming they had no structural knowledge: i.e. conscious judgment knowledge could be based on unconscious structural knowledge. Further implicit learning research should be clear over whether judgment or structural knowledge is claimed to be unconscious as the two dissociate in sequence learning.     

Implicit sequence learning and conscious awareness

This paper uses the Process Dissociation Procedure to explore whether people can acquire unconscious knowledge in the serial reaction time task [Destrebecqz, A., & Cleeremans, A. (2001). Can sequence learning be implicit? New evidence with the Process Dissociation Procedure. Psychonomic Bulletin &Review, 8, 343-350; Wilkinson, L., & Shanks, D. R. (2004). Intentional control and implicit sequence learning. Journal of Experimental Psychology: Learning, Memory, and Cognition, 30, 354-369]. Experiment 1 showed that people generated legal sequences above baseline levels under exclusion instructions. Reward moved exclusion performance towards baseline, indicating that the extent of motivation in the test phase influenced the expression of unconscious knowledge. Experiments 2 and 3 revealed that even with reward, adding noise to the sequences or shortening training led to above-baseline exclusion performance, suggesting that task difficulty and the amount of training also affected the expression of unconscious knowledge. The results help resolve some current debates about the role of conscious awareness in sequence learning.     

Implicit and explicit learning of event sequences: evidence for distinct coding of perceptual and motor representations

Event-related brain potentials (ERPs) of 21 subjects were recorded in a choice reaction time task with a repeating eight-element long stimulus sequence. The regular event sequence was sometimes interrupted by 'perceptual' or by 'motor deviants' which both replaced an expected stimulus but either preserved or violated the sequence of motor responses. Response times confirmed that all subjects had acquired some knowledge of the sequential dependencies. By means of a post-experimental free recall and recognition test, subjects were classified as having either explicit or implicit knowledge of the event sequence. The ERPs showed different effects for different types of stimuli and the two groups. In the group of explicit learners, a larger N200 component was evoked by both types of deviants and a larger P300 by motor deviants only. In the group of implicit learners these 'perceptual components' remained unaffected. In contrast, in both groups of subjects the lateralized readiness potential (LRP) which accompanied motor deviants revealed a partial activation of the to be expected but incorrect response, i.e. motor learning. These results suggest that explicit learners acquire knowledge about both, stimulus and response dependencies while implicit learners acquire knowledge about response dependencies only.     

高低情感开放性者概率内隐序列学习进程差异

大五人格情感开放性子量表(openness/feeling)能否预测内隐序列学习的问题存在争议。本研究采用概率性内隐序列学习范式, 比较高低情感开放性者在各反应刺激间隔(response stimulus interval, 即RSI)的差异。发现：(1) RSI = 0 ms和250 ms, 高分组在转移组块后习得高概率序列, RSI = 500 ms及以上在其之前习得; 所有RSI点低分组都在其之前习得。每个RSI点只有高分组习得低概率序列。证明随RSI增加两者内隐进程有本质差异, openness/feeling子量表可预测内隐序列学习个体差异。(2)低概率序列可作为测量概率性内隐序列学习及个体差异的新指标, 经典转移组块、再认、生成任务的测量效果却十分有限。     

Performing the unexplainable: Implicit task performance reveals individually reliable sequence learning without explicit knowledge

Memory-impaired patients express intact implicit perceptual-motor sequence learning, but it has been difficult to obtain a similarly clear dissociation in healthy participants. When explicit memory is intact, participants acquire some explicit knowledge and performance improvements from implicit learning may be subtle. Therefore, it is difficult to determine whether performance exceeds what could be expected on the basis of the concomitant explicit knowledge. Using a challenging new sequence-learning task, robust implicit learning was found in healthy participants with virtually no associated explicit knowledge. Participants trained on a repeating sequence that was selected randomly from a set of five. On a performance test of all five sequences, performance was best on the trained sequence, and two-thirds of the participants exhibited individually reliable improvement (by chi-square analysis). Participants could not reliably indicate which sequence had been trained by either recognition or recall. Only by expressing their knowledge via performance were participants able to indicate which sequence they had learned.     

The neural correlates of implicit and explicit sequence learning: Interacting networks revealed by the process dissociation procedure

In two H2(15)O PET scan experiments, we investigated the cerebral correlates of explicit and implicit knowledge in a serial reaction time (SRT) task. To do so, we used a novel application of the Process Dissociation Procedure, a behavioral paradigm that makes it possible to separately assess conscious and unconscious contributions to performance during a subsequent sequence generation task. To manipulate the extent to which the repeating sequential pattern was learned explicitly, we varied the pace of the choice reaction time task-a variable that is known to have differential effects on the extent to which sensitivity to sequence structure involves implicit or explicit knowledge. Results showed that activity in the striatum subtends the implicit component of performance during recollection of a learned sequence, whereas the anterior cingulate/mesial prefrontal cortex (ACC/MPFC) supports the explicit component. Most importantly, we found that the ACC/MPFC exerts control on the activity of the striatum during retrieval of the sequence after explicit learning, whereas the activity of these regions is uncoupled when learning had been essentially implicit. These data suggest that implicit learning processes can be successfully controlled by conscious knowledge when learning is essentially explicit. They also supply further evidence for a partial dissociation between the neural substrates supporting conscious and nonconscious components of performance during recollection of a learned sequence.     

Attentional load and implicit sequence learning

A widely employed conceptualization of implicit learning hypothesizes that it makes minimal demands on attentional resources. This conjecture was investigated by comparing learning under single-task and dual-task conditions in the sequential reaction time (SRT) task. Participants learned probabilistic sequences, with dual-task participants additionally having to perform a counting task using stimuli that were targets in the SRT display. Both groups were then tested for sequence knowledge under single-task (Experiments 1 and 2) or dual-task (Experiment 3) conditions. Participants also completed a free generation task (Experiments 2 and 3) under inclusion or exclusion conditions to determine if sequence knowledge was conscious or unconscious in terms of its access to intentional control. The experiments revealed that the secondary task impaired sequence learning and that sequence knowledge was consciously accessible. These findings disconfirm both the notion that implicit learning is able to proceed normally under conditions of divided attention, and that the acquired knowledge is inaccessible to consciousness. A unitary framework for conceptualizing implicit and explicit learning is proposed.