Abstract:Although infants begin learning about their environment before they are born, little is known about how the infant brain changes during learning. Here, we take the initial steps in documenting how the neural responses in the brain change as infants learn to associate audio and visual stimuli. Using functional near-infrared spectroscopy (fNRIS) to record hemodynamic responses in the infant cortex (temporal, occipital, and frontal cortex), we find that across the infant brain, learning is characterized by an inc… Show more
“…For example, functional near-infrared spectroscopy (fNIRS) has been used to investigate learning trajectories (Kersey & Emberson, 2017) and responses to novelty or violations (Emberson, Richards, & Aslin, 2015;Lloyd-Fox et al, 2019;Nakano, Watanabe, Homae, & Taga, 2009 Orena & Polka, 2017). For example, functional near-infrared spectroscopy (fNIRS) has been used to investigate learning trajectories (Kersey & Emberson, 2017) and responses to novelty or violations (Emberson, Richards, & Aslin, 2015;Lloyd-Fox et al, 2019;Nakano, Watanabe, Homae, & Taga, 2009 Orena & Polka, 2017).…”
Statistical learning (SL), sensitivity to probabilistic regularities in sensory input, has been widely implicated in cognitive and perceptual development. Little is known, however, about the underlying mechanisms of SL and whether they undergo developmental change. One way to approach these questions is to compare SL across perceptual modalities. While a decade of research has compared auditory and visual SL in adults, we present the first direct comparison of visual and auditory SL in infants (8-10 months). Learning was evidenced in both perceptual modalities but with opposite directions of preference: Infants in the auditory condition displayed a novelty preference, while infants in the visual condition showed a familiarity preference.Interpreting these results within the Hunter and Ames model (1988), where familiarity preferences reflect a weaker stage of encoding than novelty preferences, we conclude that there is weaker learning in the visual modality than the auditory modality for this age. In addition, we found evidence of different developmental trajectories across modalities: Auditory SL increased while visual SL did not change for this age range. The results suggest that SL is not an abstract, amodal ability; for the types of stimuli and statistics tested, we find that auditory SL precedes the development of visual SL and is consistent with recent work comparing SL across modalities in older children.
K E Y W O R D Sabstract, auditory, domain-generality, infant, statistical learning, visual
“…For example, functional near-infrared spectroscopy (fNIRS) has been used to investigate learning trajectories (Kersey & Emberson, 2017) and responses to novelty or violations (Emberson, Richards, & Aslin, 2015;Lloyd-Fox et al, 2019;Nakano, Watanabe, Homae, & Taga, 2009 Orena & Polka, 2017). For example, functional near-infrared spectroscopy (fNIRS) has been used to investigate learning trajectories (Kersey & Emberson, 2017) and responses to novelty or violations (Emberson, Richards, & Aslin, 2015;Lloyd-Fox et al, 2019;Nakano, Watanabe, Homae, & Taga, 2009 Orena & Polka, 2017).…”
Statistical learning (SL), sensitivity to probabilistic regularities in sensory input, has been widely implicated in cognitive and perceptual development. Little is known, however, about the underlying mechanisms of SL and whether they undergo developmental change. One way to approach these questions is to compare SL across perceptual modalities. While a decade of research has compared auditory and visual SL in adults, we present the first direct comparison of visual and auditory SL in infants (8-10 months). Learning was evidenced in both perceptual modalities but with opposite directions of preference: Infants in the auditory condition displayed a novelty preference, while infants in the visual condition showed a familiarity preference.Interpreting these results within the Hunter and Ames model (1988), where familiarity preferences reflect a weaker stage of encoding than novelty preferences, we conclude that there is weaker learning in the visual modality than the auditory modality for this age. In addition, we found evidence of different developmental trajectories across modalities: Auditory SL increased while visual SL did not change for this age range. The results suggest that SL is not an abstract, amodal ability; for the types of stimuli and statistics tested, we find that auditory SL precedes the development of visual SL and is consistent with recent work comparing SL across modalities in older children.
K E Y W O R D Sabstract, auditory, domain-generality, infant, statistical learning, visual
“…We are looking to uncover the same inverted u‐shaped neural changes that were observed in Kersey and Emberson () for this type of learning and contrast these trajectories across the two populations of infants. In addition to contrasting trajectories, we conduct an individual differences analysis (as in Kersey & Emberson, ) to investigate how variations in an infant's ability to generate top‐down prediction relates to their individual learning trajectories. We expect to find a positive correspondence between the emergence of top‐down predictions and the strength of U‐shape neural trajectories during learning.…”
Section: Introductionmentioning
confidence: 73%
“…There is already some evidence that the emergency of top‐down predictions are playing some role in neural learning trajectories. Kersey and Emberson () found that full‐term infants exhibit an inverted u‐shaped learning trajectory (i.e., repetition enhancement followed by repetition suppression) during the audiovisual learning that supports the generation of top‐down predictions. In exploratory analyses, Kersey and Emberson () found that the shape of an individual infant's learning trajectory can predict an infant's individual top‐down prediction abilities (i.e., their occipital lobe response during an unexpected visual omission).…”
Section: Introductionmentioning
confidence: 83%
“…Kersey and Emberson () found that full‐term infants exhibit an inverted u‐shaped learning trajectory (i.e., repetition enhancement followed by repetition suppression) during the audiovisual learning that supports the generation of top‐down predictions. In exploratory analyses, Kersey and Emberson () found that the shape of an individual infant's learning trajectory can predict an infant's individual top‐down prediction abilities (i.e., their occipital lobe response during an unexpected visual omission). In other words, how much an infant's occipital lobe was modulated during learning, in this inverted u‐shaped pattern, predicted how strongly an infant responded during unexpected omission trials which are designed to probe their top‐down predictions.…”
Section: Introductionmentioning
confidence: 83%
“…In the combined analysis, we included effects related to birth status (premature or full‐term) to examine the role that prematurity plays in the formation of these learning trajectories. Finally, we employed a method of analysis initially reported in Kersey and Emberson () to examine the relationship between individual infant's learning trajectories and infants’ signature of top‐down prediction (occipital responses to unexpected visual omission trials). Because each infant watched a different number of trials, we recognize the possibility that some of the results of the analyses described may be affected by these differences.…”
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.
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