Introduction: Motor skills and learning after stroke are of a great importance. This study aimed at studying implicit learning in unilateral stroke patients using affected hand and comparison with normal subjects. Methods: A serial reaction time task by using a software was applied for studying implicit motor learning in 15 stroke patients and 15 matched normal subjects. In this task 4 squar...

the aim of this study was to compare the performance of analogy (implicit),explicit and discovery learning in the retention and transfer of a topspin shot underpsychological pressure. for this purpose, 36 volunteer high school students wererandomly allocated to three treatment conditions: explicit, analogy, and discoverylearning. after performing 300 trials in the acquisition phase, an immediat...

Related DatabasesWeb of Science You must be logged in with an active subscription to view this.Article DataHistorySubmitted: 7 August 2020Accepted: 18 June 2021Published online: 16 September 2021Keywordsdeep learning, deep equilibrium models, Perron--Frobenius theory, fixed-point equations, robustness, adversarial attacksAMS Subject Headings690C26, 49M99, 65K10, 62M45, 26B10Publication DataISSN...

Research on the effect of implicit and explicit instruction on developing learners’ explicit knowledge by the use of measures of explicit knowledge abounds in the literature. However, measuring learners’ implicit knowledge employing fine-grained measures has rarely been the concern of researchers in the field. Therefore, the present study is an attempt to scrutinize the effectiveness of implici...

in this paper we have proposed an approach for emotion detection in implicit texts. we have introduced a combinational system based on three subsystems. each one analyzes input data from a different aspect and produces an emotion label as output. the first subsystem is a machine learning method. the second one is a statistical approach based on vector space model (vsm) and the last one is a key...

Implicit learning is nonepisodic learning of complex information in an incidental manner, without awareness of what has been learned. Implicit learning experiments use 3 different stimulus structures (visual, sequence, and function) and 3 different dependent measures or response modalities (conceptual fluency, efficiency, and prediction and control). Implicit learning may require a certain mini...

A useful way to explain the notions of implicit and explicit learning in ACT-R is to define implicit learning as learning by ACT-R's learning mechanisms, and explicit learning as the results of learning goals. This idea complies with the usual notion of implicit learning as unconscious and always active and explicit learning as intentional and conscious. Two models will be discussed to illustra...