The time course of semantic and relational processing during verbal analogical reasoning

Neural correlates of unconventional verb extensions reveal preschoolers' analogical abilities

In the current event-related potential (ERP) study, we assessed 4-year-olds' ability to extend verbs to new action events on the basis of abstract similarities. Participants were presented with images of actions (e.g., peeling an orange) while hearing sentences containing a conventional verb (e.g., peeling), a verb sharing an abstract relation (i.e., an analogical verb, e.g., undressing), a verb sharing an object type (i.e., an object-related verb, e.g., pressing) with the action, or a pseudoverb (e.g., kebraying). The amplitude of the N400 gradually increased as a function of verb type-from conventional verbs to analogical verbs to object-related verbs to pseudoverbs. These findings suggest that accessing the meaning of a verb is easier when it shares abstract relations with the expected verb. Our results illustrate that measuring brain signals in response to analogical word extensions provides a useful tool to investigate preschools' analogical abilities.

ERP evidence for temporal differences between cross-modal and cross-domain analogical reasoning

Previous studies have shown that individuals not only successfully engage in cross-domain analogies but also accomplish cross-modal reasoning. Yet, the behavioral representation and neurophysiological basis of cross-modal and cross-domain analogical reasoning remain unclear. This study established three analogical reasoning conditions by combining a multi-to-multi learning-test paradigm with a four‑term analogy paradigm: within-domain, cross-domain, and cross-modal conditions. Thirty participants were required to judge whether the relationship between C and D was the same as the learned relationship between A and B. Behavioral results revealed no significant differences in reaction times and accuracy between cross-domain and cross-modal conditions, but both conditions showed significantly lower accuracy than within-domain condition. ERP results indicated a larger P2 amplitude in the cross-modal condition, while a larger N400 amplitude was observed in the cross-domain condition. These findings suggest: (1) The P2 in cross-modal analogical reasoning is associated with more difficult access to cross-modal information. (2) The N400 in cross-domain analogical reasoning is related to more challenging semantic processing. This study provides the first evidence of behavioral and ERP differences between cross-modal and cross-domain analogical reasoning, deepening our understanding of the cognitive processes involved in cross-modal analogical reasoning.

Understanding the What and When of Analogical Reasoning Across Analogy Formats: An Eye-Tracking and Machine Learning Approach

Starting with the hypothesis that analogical reasoning consists of a search of semantic space, we used eye-tracking to study the time course of information integration in adults in various formats of analogies. The two main questions we asked were whether adults would follow the same search strategies for different types of analogical problems and levels of complexity and how they would adapt their search to the difficulty of the task. We compared these results to predictions from the literature. Machine learning techniques, in particular support vector machines (SVMs), processed the data to find out which sets of transitions best predicted the output of a trial (error or correct) or the type of analogy (simple or complex). Results revealed common search patterns, but with local adaptations to the specifics of each type of problem, both in terms of looking-time durations and the number and types of saccades. In general, participants organized their search around source-domain relations that they generalized to the target domain. However, somewhat surprisingly, over the course of the entire trial, their search included, not only semantically related distractors, but also unrelated distractors, depending on the difficulty of the trial. An SVM analysis revealed which types of transitions are able to discriminate between analogy tasks. We discuss these results in light of existing models of analogical reasoning.

Differential effects of semantic distance, distractor salience, and relations in verbal analogy

Prior studies of A:B::C:D verbal analogies have identified several factors that affect performance, including the semantic similarity between source and target domains (semantic distance), the semantic association between the C-term and incorrect answers (distracter salience), and the type of relations between word pairs. However, it is unclear how these stimulus properties affect performance when utilized together. To test their interactive effects, we created a verbal analogy stimulus set that factorially crossed these factors and presented participants with an analogical stem (A:B::C:?) with two response choices: an analogically correct (D) and incorrect distracter (D') term. The semantic distance between source and target word pairs was manipulated creating near (BOWL:DISH::SPOON:SILVERWARE) and far (WRENCH:TOOL::SAD:MOOD) analogies. The salience of an incorrect distracter (D') was manipulated using the sematic distance with the C-term creating low (DRAWER) and high (FORK) salience distracters. Causal, compositional, and categorical relations were presented across these conditions. Accuracies were higher for semantically near than far analogies and when distracter salience was low than high. Categorical relations yielded better performance than the causal and compositional relations. Moreover, a three-way interaction demonstrated that the effects of semantic distance and distracter salience had a greater impact on performance for compositional and causal relations than for the categorical ones. We theorize that causal and compositional analogies, given their less semantically constrained responses, require more inhibitory control than more constraining relations (e.g., categorical).

Negative emotions influence EEG correlates of inference formation during analogical reasoning

Previous research indicates that negative emotions influence cognitive resource utilization during analogical reasoning. However, no research has yet demonstrated an influence of negative emotions on inference formation during analogical reasoning. For this reason, we used evoked response potentials to investigate how negatively valenced content affects inference formation during analogical reasoning. Participants generated inferences about the missing term of 256 four-term analogies consisting of a first pair (A is to B), a second incomplete pair (as C is to?), and a probe term (D). We manipulated the affective valence of the terms (negative/neutral) forming the first two pairs and the soundness of the analogies. In Experiment 1, the terms were words and the relations were semantic in nature. We recorded the N400 event-related component time-locked to the probe term. The effect of analogy soundness on N400 amplitude was weaker when both pairs of terms were negative than when one or both pairs were neutral. In Experiment 2, we used analogies with negatively or neutrally conditioned symbols as terms, and visuospatial transformations as relations. We recorded the P3b event-related component time-locked to the final term of the analogy. The effect of analogy soundness on P3b amplitude was weaker when the first pair of terms was negatively conditioned than when they were neutrally conditioned. Results of both experiments suggested that negatively valenced content impairs the formation of inferences during analogical reasoning, as indicated by reduced effects of analogy soundness on N400 and P3b in the presence of negatively valenced content.

Relational Integration in the Human Brain: A Review and Synthesis

Relational integration is required when multiple explicit representations of relations between entities must be jointly considered to make inferences. We provide an overview of the neural substrate of relational integration in humans and the processes that support it, focusing on work on analogical and deductive reasoning. In addition to neural evidence, we consider behavioral and computational work that has informed neural investigations of the representations of individual relations and of relational integration. In very general terms, evidence from neuroimaging, neuropsychological, and neuromodulatory studies points to a small set of regions (generally left lateralized) that appear to constitute key substrates for component processes of relational integration. These include posterior parietal cortex, implicated in the representation of first-order relations (e.g., A:B); rostrolateral pFC, apparently central in integrating first-order relations so as to generate and/or evaluate higher-order relations (e.g., A:B::C:D); dorsolateral pFC, involved in maintaining relations in working memory; and ventrolateral pFC, implicated in interference control (e.g., inhibiting salient information that competes with relevant relations). Recent work has begun to link computational models of relational representation and reasoning with patterns of neural activity within these brain areas.

Electrophysiological correlates of interference control at retrieval predict performance on a subsequent analogical reasoning task

Previous research has shown that variations in the accessibility of relevant information that stem from retrieval practice may impair analogical reasoning. In the present study, we sought to examine the neural signatures of inhibitory control during selective retrieval and its effects on a subsequent analogical reasoning task by employing electrophysiological measures. At a behavioral level, we found that selective retrieval of a subset of potential solutions led to impaired performance on the analogy test. ERPs analyses during selective retrieval revealed that (1) the repeated presentation of retrieval cues was associated with decreased amplitudes for the FN400 ERP effect, possibly reflecting reduced reactivation of competitor associates and interference across retrieval attempts; (2) this effect correlated positively with the retrieval-related impairment in analogical reasoning performance. During the analogy test, the production of control solutions (non-affected by prior retrieval practice) was characterized by more positive modulations of anterior frontal and parietal ERPs than the production of unstudied solutions, whereas inhibited solutions elicited similar amplitudes to unstudied solutions. This effect was restricted to the retrieval phase of the analogy where the actual solutions had to be retrieved, but it did not affect the mapping phase where the accessibility status of the possible solutions failed to reveal significant amplitude differences. These findings suggest that control during selective retrieval may lead to the downregulation of competing memory representations and advance our understanding of the neural correlates of analogical thinking.

Verbal analogy problem sets: An inventory of testing materials

Analogical reasoning is an active topic of investigation across education, artificial intelligence (AI), cognitive psychology, and related fields. In all fields of inquiry, explicit analogy problems provide useful tools for investigating the mechanisms underlying analogical reasoning. Such sets have been developed by researchers working in the fields of educational testing, AI, and cognitive psychology. However, these analogy tests have not been systematically made accessible across all the relevant fields. The present paper aims to remedy this situation by presenting a working inventory of verbal analogy problem sets, intended to capture and organize sets from diverse sources.