Conditioning and Associative Learning

Associative learning is the process whereby humans and other animals learn the predictive relationship between cues in their environment. This process underlies simple forms of learning from rewards, such as classical and operant conditioning. In this chapter, we introduce the basics of associative learning and discuss the role that memory processes play in the establishment and maintenance of this learning. We then discuss the role that associative learning plays in human memory, including through paired associate learning, the enhancement of memory by reward, and the formation of episodic memories. Finally, we illustrate how the memory process influences choice in decision-making, where associative learning allows people to learn the values of different options. We conclude with some suggestions about how models of associative learning, memory, and choice can be integrated into a single theoretical framework.

EFFECTS OF LEARNING DIRECTION IN RETRIEVAL PRACTICE ON EFL VOCABULARY LEARNING

In paired-associate learning, there are two learning directions: L2 to L1 (L2 words as stimuli and L1 words as responses) and L1 to L2 (L1 words as stimuli and L2 words as responses). Results of previous studies that compared the effects of the two learning directions are not consistent. We speculated that the cause of this inconsistency may be L2 proficiency, as the strengths of the lexical links between L2 and L1 are different depending on the learner’s L2 proficiency. This hypothesis was examined with 28 native speakers of Japanese learning English. Participants studied novel English words in the two learning directions. The results of posttests showed that for lower-proficiency learners, L2-to-L1 learning was more effective than L1-to-L2 learning, while for higher-proficiency learners, L1-to-L2 learning was more effective. The findings suggest that L2 proficiency influences the effects of learning direction on vocabulary learning.

EXPRESS: Facilitation effect of incidental environmental context on the computer screen for paired-associate learning

Three experiments, in which a total of 198 undergraduates engaged, investigate whether the incidental environmental context on the computer screen influences paired-associate learning. Experiment 1 compared the learning of foreign and native language words between a constant context condition, where the stimulus and response pairs were presented twice on the same 5-s video background context, and a varied context condition, where the pairs were presented twice on different video contexts. Repetition in the same context resulted in better learning than in different contexts, evaluated with a paper-and-pencil test. Experiment 2 investigated learning of paired-associate foreign and native words in the same video-contexts, or photograph-contexts, or on a neutral gray background. Both the video and the photograph contexts equally facilitated the paired-associate learning compared to the gray background. Experiment 3 investigated whether the incidental environmental context similarly facilitated face-name paired-associate learning. We added a new condition of spot illustrations, and a second testing one day later. The repetition of face-name pairs within the same complex incidental environmental context on the computer screen (either video or photograph background) facilitated the paired-associate learning. There was no significant difference in learning performance between video and photograph background contexts, which were significantly better than gray or spot illustration backgrounds which did not differ from each other. The retention interval did not interact with the effect of the background. The present results show that repetition within the same video or photograph context, covering the entire background of the video screen on which each item pair was superimposed, facilitates paired-associate learning.

VStore: A Novel Virtual Reality Assessment of Functional Cognition (Preprint)

BACKGROUND Cognitive deficits are present in a number of neuropsychiatric disorders including, Alzheimer’s disease, schizophrenia and depression. Assessments used to measure cognition in these disorders are time-consuming, burdensome, and have low ecological validity. To address these limitations, we developed a novel virtual reality shopping task – VStore. OBJECTIVE This study aims to establish the concurrent and construct validity of VStore in relation to the established computerized cognitive battery, Cogstate; and tests its sensitivity to age related cognitive decline. METHODS Hundred and four healthy volunteers aged 20-79 completed both assessments. Main VStore outcomes included: 1) verbal recall of 12 grocery items, 2) time to collect items, 3) time to select items on a self-checkout machine, 4) time to make the payment, 5) time to order coffee, and 6) total completion time. To establish concurrent validity, bivariate correlations were performed between VStore outcomes and Cogstate tasks measuring attention, processing speed, verbal and visual learning, working memory, executive function, and paired associate learning. Construct validity analysis was also performed to examine which cognitive domains best predicted VStore performance. Finally, two ridge regression models were built using VStore outcomes in the first, and Cogstate outcomes in the second model as predictors of biological age to compare their sensitivity to age-related cognitive decline. RESULTS We found moderate correlations between VStore and Cogstate outcomes. VStore Total Time was best explained by tasks measuring working memory and paired associate learning, in addition to age and technological familiarity, accounting for 46% of the variance. Finally, with λ = 5.16, the model fitting selected five parameters for VStore when predicting biological age (MSE = 185.8, SE= 19.34). With λ = 9.49 for Cogstate, the model fitting selected all eight tasks (MSE = 226.8, SE = 23.48). CONCLUSIONS Our findings suggest that VStore is a promising assessment that engages standard cognitive domains and is sensitive to age-related cognitive decline. CLINICALTRIAL NA

Touchscreen-based location discrimination and paired associate learning tasks detect cognitive impairment at an early stage in an App knock-in mouse model of Alzheimer’s disease

Alzheimer's disease (AD) is a progressive neurodegenerative disorder characterized by cognitive decline with accumulation of amyloid beta (Aβ) and neurofibrillary tangles that usually begins 15–30 years before clinical diagnosis. Rodent models that recapitulate aggressive Aβ and/or the pathology of neurofibrillary tangles are essential for AD research. Accordingly, non-invasive early detection systems in these animal models are required to evaluate the phenotypic changes, elucidate the mechanism of disease progression, and facilitate development of novel therapeutic approaches. Although many behavioral tests efficiently reveal cognitive impairments at the later stage of the disease in AD models, it has been challenging to detect such impairments at the early stage. To address this issue, we subjected 4–6-month-old male AppNL−G−F/NL−G−F knock-in (App-KI) mice to touchscreen-based location discrimination (LD), different object–location paired-associate learning (dPAL), and reversal learning tests, and compared the results with those of the classical Morris water maze test. These tests are mainly dependent on the brain regions prone to Aβ accumulation at the earliest stages of the disease. At 4–6 months, considered to represent the early stage of disease when mice exhibit initial deposition of Aβ and slight gliosis, the classical Morris water maze test revealed no difference between groups, whereas touchscreen-based LD and dPAL tasks revealed significant impairments in task performance. Our report is the first to confirm that a systematic touchscreen-based behavioral test battery can sensitively detect the early stage of cognitive decline in an AD-linked App-KI mouse model. This system could be applied in future translational research.