The embodiment approach has shown that motor neural networks are involved in the processing of action verbs. There is developmental evidence that embodied effects on verb processing are already present in early years. Yet, the ontogenetic origin of this motor reuse in action verbs remains unknown. This longitudinal study investigates the co-occurrence of manual verbs and actions during mother-child daily routines when children were 1 to 2 and 2 to 3 years old. Eight mother-child dyads were video-recorded in 3-month intervals (...) across 12 months, and the timing of verbs and manual actions were coded by independent observers. Results showed that the probability of matched verb-action co-occurrences were much higher than that of random co-occurrences for Group 1 and Group 2, respectively. The distributions of the verb-action temporal intervals in both groups were quite symmetrical and skewed with the peak corresponding to both 0.00 s synchronic intervals and the shortest +5 s interval. Mother-led instances occurred in both groups whereas child-led instances were restricted to Group 2. Mothers pragmatically aligned their verbal productions, since they repeatedly used those verbs they shared with their children’s repertoire. In conclusion, the early multisensory communicative and manipulative scene affords grounding of verb meanings on the ongoing actions, facilitating verb-action pairing in the realm of social interactions, providing a new dimension to the prevailing solipsistic approach to embodiment. (shrink)

Abstract Since their inception, distributional models of semantics have been criticized as inadequate cognitive theories of human semantic learning and representation. A principal challenge is that the representations derived by distributional models are purely symbolic and are not grounded in perception and action; this challenge has led many to favor feature-based models of semantic representation. We argue that the amount of perceptual and other semantic information that can be learned from purely distributional statistics has been underappreciated. We compare the representations (...) of three feature-based and nine distributional models using a semantic clustering task. Several distributional models demonstrated semantic clustering comparable with clustering-based on feature-based representations. Furthermore, when trained on child-directed speech, the same distributional models perform as well as sensorimotor-based feature representations of children’s lexical semantic knowledge. These results suggest that, to a large extent, information relevant for extracting semantic categories is redundantly coded in perceptual and linguistic experience. Detailed analyses of the semantic clusters of the feature-based and distributional models also reveal that the models make use of complementary cues to semantic organization from the two data streams. Rather than conceptualizing feature-based and distributional models as competing theories, we argue that future focus should be on understanding the cognitive mechanisms humans use to integrate the two sources. (shrink)

Our main considerations take as a starting point the educational policy demand for a model of competence of text comprehension, which should make it possible to measure and systematically increase comprehension accomplishments and competences. The approach of classical cognitive psychology appears particularly suitable for this purpose, which determines comprehension as a rule-guided transfer of a sign complex into a mental representation. However, such representationalism tends to be aporetic in character. A way out of this problem is offered by recent concepts (...) of understanding from the area ofEmbodied Cognition, according to which all mental operations are embedded in physical interaction processes. Comprehension means, in this sense, letting physical primary experiences be reproduced in a trial-action fashion. This approach is, in this paper, reconsidered in relation to the role of subjectivity and affect: Physical experiences are meaning-generating because they exhibit a subjectively perceived affective valence between pleasure and suffering. The beginning of all understanding therefore is to be located within the emotional sphere.Such a conception of understanding is supposed to have a considerable impact upon language- and literature teaching in schools. For example, training of reading skills should always be embedded in body-bound experiences. Moreover, learning and understanding both mean cultivating an alert ear for affective undertones, needs and irritations, which might even lead to drawing the curricular benchmarks and competency targets into question. Finally, as art and literature establish areas of freedom and play, literature teaching, especially, needs to be founded on affective awareness, discursive openness and proceeding voluntariness. (shrink)

Recent experiments have shown that when individuals with a substance use disorder are confronted with drug-related cues, they exhibit an automatically activated tendency to approach these cues. The strength of the drug approach bias has been associated with clinically relevant measures, such as increased drug craving and relapse, and activations in brain reward areas. Retraining the approach bias by means of cognitive bias modification has been demonstrated to decrease relapse rates in patients with an alcohol use disorder and to reduce (...) alcohol cue-evoked limbic activity. Here, we review empirical and theoretical literature on the drug approach bias and explore two distinct models of how the drug approach bias may be embodied. First, we consider the “biological meaning” hypothesis, which grounds the automatic approach bias in the natural meaning of the body. Second, we consider the “sensorimotor hypothesis,” which appeals to the specific sensorimotor loops involved in the instantiation of addictive behaviors as the basis of the automatic approach bias. In order to differentiate between the adequacies of these competing explanations, we present specific, predictions that each model should make. (shrink)