Infant Learning Research Articles

Effects of consonantal context on the learnability of vowel categories from infant-directed speech.

Recent studies have shown that vowels in infant-directed speech (IDS) are characterized by highly variable formant distributions. The current study investigates whether vowel variability is partially due to consonantal context, and explores whether consonantal context could support the learning of vowel categories from IDS. A computational model is presented which selects contexts based on frequency in the input and generalizes across contextual categories. Improved categorization performance was found on a vowel contrast in American-English IDS. The findings support a view in which the infant's learning mechanism is anchored in context, in order to cope with acoustic variability in the input.

Is infant-directed speech interesting because it is surprising? – Linking properties of IDS to statistical learning and attention at the prosodic level

The exaggerated intonation and special rhythmic properties of infant-directed speech (IDS) have been hypothesized to attract infants’ attention to the speech stream. However, there has been little work actually connecting the properties of IDS to models of attentional processing or perceptual learning. A number of such attention models suggest that surprising or novel perceptual inputs attract attention, where novelty can be operationalized as the statistical (un)predictability of the stimulus in the given context. Since prosodic patterns such as F0 contours are accessible to young infants who are also known to be adept statistical learners, the present paper investigates a hypothesis that F0 contours in IDS are less predictable than those in adult-directed speech (ADS), given previous exposure to both speaking styles, thereby potentially tapping into basic attentional mechanisms of the listeners in a similar manner that relative probabilities of other linguistic patterns are known to modulate attentional processing in infants and adults. Computational modeling analyses with naturalistic IDS and ADS speech from matched speakers and contexts show that IDS intonation has lower overall temporal predictability even when the F0 contours of both speaking styles are normalized to have equal means and variances. A closer analysis reveals that there is a tendency of IDS intonation to be less predictable at the end of short utterances, whereas ADS exhibits more stable average predictability patterns across the full extent of the utterances. The difference between IDS and ADS persists even when the proportion of IDS and ADS exposure is varied substantially, simulating different relative amounts of IDS heard in different family and cultural environments. Exposure to IDS is also found to be more efficient for predicting ADS intonation contours in new utterances than exposure to the equal amount of ADS speech. This indicates that the more variable prosodic contours of IDS also generalize to ADS, and may therefore enhance prosodic learning in infancy. Overall, the study suggests that one reason behind infant preference for IDS could be its higher information value at the prosodic level, as measured by the amount of surprisal in the F0 contours. This provides the first formal link between the properties of IDS and the models of attentional processing and statistical learning in the brain. However, this finding does not rule out the possibility that other differences between the IDS and ADS also play a role.

Lexical Learning May Contribute to Phonetic Learning in Infants: A Corpus Analysis of Maternal Spanish.

In their first year, infants begin to learn the speech sounds of their language. This process is typically modeled as an unsupervised clustering problem in which phonetically similar speech-sound tokens are grouped into phonetic categories by infants using their domain-general inference abilities. We argue here that maternal speech is too phonetically variable for this account to be plausible, and we provide phonetic evidence from Spanish showing that infant-directed Spanish vowels are more readily clustered over word types than over vowel tokens. The results suggest that infants' early adaptation to native-language phonetics depends on their word-form lexicon, implicating a much wider range of potential sources of influence on infants' developmental trajectories in language learning.

The emergence of top-down, sensory prediction during learning in infancy: A comparison of full-term and preterm infants.

Prematurity alters developmental trajectories in preterm infants even in the absence of medical complications. Here, we use fNIRS and learning tasks to probe the nature of the developmental differences between preterm and full-term born infants. Our recent work has found that prematurity disrupts the ability to engage in top-down sensory prediction after learning. We now examine the neural changes during the learning that precede prediction. In full-terms, we found modulation of all cortical regions examined during learning (temporal, frontal, and occipital). By contrast, preterm infants had no evidence of neural changes in the occipital lobe selectively. This is striking as the learning task leads to the emergence of visual prediction. Moreover, the shape of individual infants' occipital lobe trajectories (regardless of prematurity) predicts subsequent visual prediction abilities. These results suggest that modulation of sensory cortices during learning is closely related to the emergence of top-down signals and further indicates that developmental differences in premature infants may be associated with deficits in top-down processing.

Epigenetic Modifications in the Rat Neonate Olfactory Bulb and Anterior Piriform Cortex Associated with Olfactory and Tactile Experiences

Rodents are macrosmatic; they depend heavily on the olfactory system, which includes the olfactory bulb and anterior piriform cortex, to navigate their environment. The olfactory system is key to the survival of neonatal pups in order to learn the scents of the dam, which aid in nipple attachment and overall attachment to the caregiver. This attachment‐based learning was mimicked in rodents using a laboratory‐based experimental design in which neonatal pups were classically conditioned to associate the novel scent of peppermint with stroking, an action that mimics sensory cues associated with caregiving. The effects of attachment‐based learning on mRNA levels of epigenetic regulators, as well as epigenetic modifications of Bdnf and Reln, genes involved in neuroplasticity, are unknown.We investigated changes in gene expression of Bdnf, Reln, and epigenetic regulators (DNMT1, DNMT3a, DNMT3b, HDAC1, HDAC2, HDAC5, TET1, Gadd45B, and MeCP2) following infant olfactory learning. Using an odor‐stroke paradigm, Long‐Evans rat pups (postnatal days 6 or 7) (n=46) were assigned to either a paired (simultaneous peppermint odor and stroking), unpaired (non‐simultaneous peppermint odor and stroking), or odor‐/stroke‐only condition. Brains were harvested 30 minutes after conditioning. Using Real‐time PCR, we found experience‐induced changes in gene expression profiles in both brain regions. For example, Bdnf exon IV gene expression in the olfactory bulb significantly increased in rats that received contiguous presentation of both stimuli; however, gene expression of HDAC2, HDAC5, TET1, and Gadd45B significantly decreased in the same subjects. In the anterior piriform cortex, there were significant increases in gene expression of Bdnf exons I and IV, DNMT3b, and Gadd45B in both paired and unpaired subjects. Understanding the unknown epigenetic modifications involved in attachment‐based learning may elucidate the mechanisms of the emotional connection an infant learns for the caregiver and its profound influence on neurological development.Support or Funding InformationSpecial thanks to Dr. Roth and Tiffany Doherty for their support and guidance along with Lauren Webb's and Tiffany's completion of odor‐stroke conditioning. This research is funded through grants P20GM103653, R01HD087509, and private donation funds to Dr. Roth.This abstract is from the Experimental Biology 2018 Meeting. There is no full text article associated with this abstract published in The FASEB Journal.

The effectiveness of learning portfolios in learning participation and learners’ perceptions of skills and confidence in the mother of preterm infant

ObjectiveThe purpose of this study was to investigate the effectiveness of preterm infant learning portfolios in enabling mothers to develop infant care knowledge and skills, as well as confidence in their abilities. DesignThis study used a quasi-experimental design. Setting and participantsThe sample consisted of 52 mothers with preterm infants recruited at a neonatal intermediate unit of a medical centre in central Taiwan. Among those, 26 participants in the control group received regular health education and 26 participants in the experimental group received learning portfolios and regular care. InterventionThe Preterm Infant Care Learning Portfolio (PICLP) is a semi-structured learning portfolio which was provided by nurses. Intervention started with 15 min of instructions on how to use PICLP, including a list of learning task and methods of self-assessment. Follow-up sessions of 5–10 min were conducted after each learning task. The frequency of learning skills could be adjusted depending on participants' learning needs. MeasurementsSelf-administered questionnaires regarding knowledge of and skills in preterm infant care and maternal confidence were used to evaluate the effectiveness of the intervention; the questionnaires were conducted before the intervention, 1 day before discharge and 1 month after discharge. We also tracked the frequency with which participants attended instructional sessions before discharged. FindingsMothers' preterm infant care knowledge and skills and confidence improved in both groups after the intervention. The experimental group showed greater improvement than the control group by post-test 2; there was no statistical difference between groups at 1 day before discharge and 1 month after discharge. However, participants in the experimental group came for instructional sessions on baby care for more frequently than the control group. The frequency of learning sessions attended was a predictor of improved scores of the skill assessment before discharge. ConclusionsBoth programmes led to improvements in preterm infant care knowledge and skills and maternal confidence. Giving mothers learning portfolios appears to stimulate significantly greater participation in hospital-based instructional programmes, which should in turn lead to greater long-term retention of learning. The learning portfolios may have an additional benefit in promoting acquisition of care abilities for mothers with preterm infant before hospital discharge and application of these abilities at home. Implication for practiceAt-home care for preterm infants requires specialized care skills and confidence. Learning portfolios can be used as an effective learner-centred strategy for teaching these health care abilities.

Association of Sleep and Circadian Activity Rhythm with Emotional Face Processing among 12-month-old Infants

Sleep and circadian rhythmicity both play an important role in human’s cognitive functioning, yet the way in which early development of sleep and circadian rhythm affects cognitive processes and social learning in infants remains less understood. We examined the association of sleep and circadian activity rhythm (CAR) with face and emotional information processing in 12-month old infants. Face processing was measured by eye tracking, whereby infants’ scanning patterns and pupil dilations were calculated when they were presented with neutral, pleasant and unpleasant faces. Infants with better sleep quality (i.e., less waking after sleep onset) and lower sleep-wake pattern variability (i.e., higher inter-daily stability) exhibited a higher eyes over mouth fixation ratio (EMR). Infants with longer total sleep time showed larger pupil diameter changes in response to emotional facial expressions, more closely resembling the responses of adults. Our findings suggest the role of sleep and circadian rhythm in waking cognition and have implications for understanding the early development of social learning in young children.

Unsupervised learning of complex associations in an animal model

Supervised learning results from explicit corrective feedback, whereas unsupervised learning results from statistical co-occurrence. In an initial training phase, we gave pigeons an unsupervised learning task to see if mere pairing could establish associations between multiple pairs of visual images. To assess learning, we administered occasional testing trials in which pigeons were shown an object and had to choose between previously paired and unpaired tokens. Learning was evidenced by preferential choice of the previously unpaired token. In a subsequent supervised training phase, learning was facilitated if the object and token had previously been paired. These results document unsupervised learning in pigeons and resemble statistical learning in infants, suggesting an important parallel between human and animal cognition.

The integration of audio−tactile information is modulated by multimodal social interaction with physical contact in infancy

Interaction between caregivers and infants is multimodal in nature. To react interactively and smoothly to such multimodal signals, infants must integrate all these signals. However, few empirical infant studies have investigated how multimodal social interaction with physical contact facilitates multimodal integration, especially regarding audio − tactile (A-T) information. By using electroencephalogram (EEG) and event-related potentials (ERPs), the present study investigated how neural processing involved in A-T integration is modulated by tactile interaction. Seven- to 8-months-old infants heard one pseudoword both whilst being tickled (multimodal ‘A-T’ condition), and not being tickled (unimodal ‘A’ condition). Thereafter, their EEG was measured during the perception of the same words. Compared to the A condition, the A-T condition resulted in enhanced ERPs and higher beta-band activity within the left temporal regions, indicating neural processing of A-T integration. Additionally, theta-band activity within the middle frontal region was enhanced, which may reflect enhanced attention to social information. Furthermore, differential ERPs correlated with the degree of engagement in the tickling interaction. We provide neural evidence that the integration of A-T information in infants’ brains is facilitated through tactile interaction with others. Such plastic changes in neural processing may promote harmonious social interaction and effective learning in infancy.

How Much of Language Acquisition Does Operant Conditioning Explain?

Since the 1950s, when Chomsky argued that Skinner’s arguments could not explain syntactic acquisition, psychologists have generally avoided explicitly invoking operant or instrumental conditioning as a learning mechanism for language among human children. In this article, we argue that this is a mistake. We focus on research that has been done on language learning in human infants and toddlers in order to illustrate our points. Researchers have ended up inventing learning mechanisms that, in actual practice, not only resemble but also in fact are examples of operant conditioning (OC) by any other name they select. We argue that language acquisition researchers should proceed by first ruling out OC before invoking alternative learning mechanisms. While it is possible that OC cannot explain all of the language acquisition, simple learning mechanisms that work across species may have some explanatory power in children’s language learning.

Curiosity-based learning in infants: a neurocomputational approach.

Infants are curious learners who drive their own cognitive development by imposing structure on their learning environment as they explore. Understanding the mechanisms by which infants structure their own learning is therefore critical to our understanding of development. Here we propose an explicit mechanism for intrinsically motivated information selection that maximizes learning. We first present a neurocomputational model of infant visual category learning, capturing existing empirical data on the role of environmental complexity on learning. Next we “set the model free”, allowing it to select its own stimuli based on a formalization of curiosity and three alternative selection mechanisms. We demonstrate that maximal learning emerges when the model is able to maximize stimulus novelty relative to its internal states, depending on the interaction across learning between the structure of the environment and the plasticity in the learner itself. We discuss the implications of this new curiosity mechanism for both existing computational models of reinforcement learning and for our understanding of this fundamental mechanism in early development.

Selective social learning in infancy: looking for mechanisms.

Although there is mounting evidence that selective social learning begins in infancy, the psychological mechanisms underlying this ability are currently a controversial issue. The purpose of this study is to investigate whether theory of mind abilities and statistical learning skills are related to infants' selective social learning. Seventy-seven 18-month-olds were first exposed to a reliable or an unreliable speaker and then completed a word learning task, two theory of mind tasks, and a statistical learning task. If domain-general abilities are linked to selective social learning, then infants who demonstrate superior performance on the statistical learning task should perform better on the selective learning task, that is, should be less likely to learn words from an unreliable speaker. Alternatively, if domain-specific abilities are involved, then superior performance on theory of mind tasks should be related to selective learning performance. Findings revealed that, as expected, infants were more likely to learn a novel word from a reliable speaker. Importantly, infants who passed a theory of mind task assessing knowledge attribution were significantly less likely to learn a novel word from an unreliable speaker compared to infants who failed this task. No such effect was observed for the other tasks. These results suggest that infants who possess superior social-cognitive abilities are more apt to reject an unreliable speaker as informant. A video abstract of this article can be viewed at: https://youtu.be/zuuCniHYzqo.

What Leads To Shared Attention? Maternal Cues and Infant Responses During Object Play

Attention sharing provides an important context for infant learning, but it is not fully understood how infants respond to parents’ isolated or combined actions to shift from nonsharing to attention‐sharing states. To investigate this, we recorded unscripted toy‐play interactions of infants (3 to 11 months old, N = 35) and mothers at home, and coded attention‐related behaviors. These included infants’ and mothers’ visual fixations, and mothers’ attention‐directing actions including gaze shifts, pointing gestures, object manipulations, verbalizations, and object sounds. In addition, dyadic attention was continuously classified into one of seven states of shared or nonshared attention. Results showed that mothers usually produced a combination of attention‐directing cues within the 7 sec. before infants shifted their attention to match the mother's focus. Mothers’ cue combinations usually included object manipulation and either a gaze shift or a verbalization. Infants seldom looked at mothers’ faces and followed a very small proportion of isolated gaze shifts or pointing gestures. However, infants frequently shifted attention to watch mothers manipulate objects. The results indicate that during toy play, combinations of maternal attention‐specifying actions selectively elicit infants’ attention following.

Análisis de datos observacionales mediante la Teoría de la Generalizabilidad y la utilización del Modelo Lineal General y Mixto: Un estudio empírico de desarrollo infantil

<p>Accurate evaluation of early childhood competencies is essential for favoring optimal development, as the first years of life form the foundations for later learning and development. Nonetheless, there are still certain limitations and deficiencies related to how infant learning and development are measured. With the aim of helping to overcome some of the difficulties, in this article we describe the potential and advantages of new data analysis techniques for checking the quality of data collected by the systematic observation of infants and assessing variability. Logical and executive activity of 48 children was observed in three ages (18, 21 and 24 months) using a nomothetic, follow-up and multidimensional observational design.</p><p>Given the nature of the data analyzed, we provide a detailed methodological and analytical overview of generalizability theory from three perspectives linked to observational methodology: intra- and inter-observer reliability, instrument validity, and sample size estimation, with a particular focus on the participant facet. The aim was to identify the optimal number of facets and levels needed to perform a systematic observational study of very young children.</p><p>We also discuss the use of other techniques such as general and mixed linear models to analyze variability of learning and development.</p><p>Results show how the use of Generalizability Theory allows controlling the quality of observational data in a global structure integrating reliability, validity and generalizability.</p>

Explanation-based learning in infancy.

In explanation-based learning (EBL), domain knowledge is leveraged in order to learn general rules from few examples. An explanation is constructed for initial exemplars and is then generalized into a candidate rule that uses only the relevant features specified in the explanation; if the rule proves accurate for a few additional exemplars, it is adopted. EBL is thus highly efficient because it combines both analytic and empirical evidence. EBL has been proposed as one of the mechanisms that help infants acquire and revise their physical rules. To evaluate this proposal, 11- and 12-month-olds (n = 260) were taught to replace their current support rule (that an object is stable when half or more of its bottom surface is supported) with a more sophisticated rule (that an object is stable when half or more of the entire object is supported). Infants saw teaching events in which asymmetrical objects were placed on a base, followed by static test displays involving a novel asymmetrical object and a novel base. When the teaching events were designed to facilitate EBL, infants learned the new rule with as few as two (12-month-olds) or three (11-month-olds) exemplars. When the teaching events were designed to impede EBL, however, infants failed to learn the rule. Together, these results demonstrate that even infants, with their limited knowledge about the world, benefit from the knowledge-based approach of EBL.

Lexical-processing efficiency leverages novel word learning in infants and toddlers.

Children who rapidly recognize and interpret familiar words typically have accelerated lexical growth, providing indirect evidence that lexical processing efficiency (LPE) is related to word-learning ability. Here we directly tested whether children with better LPE are better able to learn novel words. In Experiment 1, 17- and 30-month-olds were tested on an LPE task and on a simple word-learning task. The 17-month-olds' LPE scores predicted word learning in a regression model, and only those with relatively good LPE showed evidence of learning. The 30-month-olds learned novel words quite well regardless of LPE, but in a more difficult word-learning task (Experiment 2), their LPE predicted word-learning ability. These findings suggest that LPE supports word-learning processes, especially when learning is difficult.

Mechanisms of statistical learning in infancy

Statistical learning is the process of identifying patterns of probabilistic co-occurrence among stimulus features, essential to our ability to perceive the world as predictable and stable. Research on auditory statistical learning has revealed that infants use statistical properties of linguistic input to discover structure that may facilitate language acquisition. More broadly, statistical learning operates across sensory modalities and across species. Research on infants’ visual statistical learning has revealed that statistical learning develops over time, yet the mechanisms (including developmental mechanisms) underlying infant performance remain unclear. This chapter examines competing models of statistical learning and how learning might be constrained by limits in infants’ attention, perception, and memory.

Social interaction facilitates word learning in preverbal infants: Word–object mapping and word segmentation

In natural settings, infants learn spoken language with the aid of a caregiver who explicitly provides social signals. Although previous studies have demonstrated that young infants are sensitive to these signals that facilitate language development, the impact of real-life interactions on early word segmentation and word–object mapping remains elusive. We tested whether infants aged 5–6 months and 9–10 months could segment a word from continuous speech and acquire a word–object relation in an ecologically valid setting. In Experiment 1, infants were exposed to a live tutor, while in Experiment 2, another group of infants were exposed to a televised tutor. Results indicate that both younger and older infants were capable of segmenting a word and learning a word–object association only when the stimuli were derived from a live tutor in a natural manner, suggesting that real-life interaction enhances the learning of spoken words in preverbal infants.

Infant avoidance training alters cellular activation patterns in prefronto-limbic circuits during adult avoidance learning: I. Cellular imaging of neurons expressing the synaptic plasticity early growth response protein 1 (Egr1).

Both positive feedback learning and negative feedback learning are essential for adapting and optimizing behavioral performance. There is increasing evidence in humans and animals that the ability of negative feedback learning emerges postnatally. Our work in rats, using a two-way active avoidance task (TWA) as an experimental paradigm for negative feedback learning, revealed that medial and lateral prefrontal regions of infant rats undergo dramatic synaptic reorganization during avoidance training, resulting in improved avoidance learning in adulthood. The aim of this study was to identify changes of cellular activation patterns during the course of training and in relation to infant pretraining. We applied a quantitative cellular imaging technique using the immunocytochemical detection of the activity marker early growth response protein 1 (Egr1) as a candidate contributing to learning-induced synaptic plasticity. We found region-specific cellular activity patterns, which indicate that during the acquisition phase, Egr1 expression is specifically elevated in cellular ensembles of the orbitofrontal, dorsal anterior cingulate and hippocampal CA1 region. During memory retrieval Egr1 expression is elevated in cellular ensembles of the dentate gyrus. Moreover, we, for the first time, show here that TWA training during infancy alters adult learning- and memory-related patterns of Egr1 expression in these brain regions. It is tempting to speculate that during infant learning, specific Egr1-expressing cellular ensembles are "tagged" representing long-term memory formation, and that these cell ensembles may be reactivated during adult learning.

Empowering infants through responsive and intentional play activities

ABSTRACTThis qualitative case study explored how an infant teacher provided meaningful learning experiences for infants through play and the teacher’s educational rationale behind these experiences. Findings were based on multiple sources of data, including classroom observations (natural observation and videotaped observation) for approximately 12 weeks and a teacher interview. The findings confirmed that infant play is critical for infant learning and development and portrayed the process through which the infant teacher created play spaces for infants and supported infants’ play through both pre-planned, teacher-directed, intentional activities, and child-initiated, emerging play activities. Our study highlighted that the designing of infant play and the learning process needs to be flexible and based on careful observation and reflection in order to meet the rapidly changing needs and interests of a group of infants as well as individual infants.