Sabine Hunnius

Prof. Dr. Sabine Hunnius


Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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25 September 2020 in Science Advances
Verified
Journal Article
Open access
PDF file
FPF. Poli
F. Poli
GSG. Serino
G. Serino
RMR. B. Mars
R. B. Mars
SHSabine Hunnius
Sabine Hunnius
From early on, humans’ allocation of attention and information processing are directed toward the maximization of learning.

26 February 2024 in Trends in Cognitive Sciences
Verified
Journal Article
Open access
FPFrancesco Poli
Francesco Poli
JOJill X. O’reilly
Jill X. O’reilly
RMRogier B. Mars
Rogier B. Mars
SHSabine Hunnius
Sabine Hunnius
What drives our curiosity remains an elusive and hotly debated issue, with multiple hypotheses proposed but a cohesive account yet to be established. This review discusses traditional and emergent theories that frame curiosity as a desire to know and a drive to learn, respectively. We adopt a model-based approach that maps the temporal dynamics of various factors underlying curiosity-based exploration, such as uncertainty, information gain, and learning progress. In so doing, we identify the limitations of past theories and posit an integrated account that harnesses their strengths in describing curiosity as a tool for optimal environmental exploration. In our unified account, curiosity serves as a 'common currency' for exploration, which must be balanced with other drives such as safety and hunger to achieve efficient action.

17 August 2022 in Neurobiology of Language
Verified
Journal Article
Open access
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KMKatharina H. Menn
Katharina H. Menn
EWEmma K. Ward
Emma K. Ward
RBRicarda Braukmann
Ricarda Braukmann
CBCarlijn van Den Boomen
Carlijn van Den Boomen
JBJan Buitelaar
Jan Buitelaar
Tineke SnijdersTineke Snijders
Tineke Snijders
During speech processing, neural activity in non-autistic adults and infants tracks the speech envelope. Recent research in adults indicates that this neural tracking relates to linguistic knowledge and may be reduced in autism. Such reduced tracking, if present already in infancy, could impede language development. In the current study, we focused on children with a family history of autism, who often show a delay in first language acquisition. We investigated whether differences in tracking of sung nursery rhymes during infancy relate to language development and autism symptoms in childhood. We assessed speech-brain coherence at either 10 or 14 months of age in a total of 22 infants with high likelihood of autism due to family history and 19 infants without family history of autism. We analyzed the relationship between speech-brain coherence in these infants and their vocabulary at 24 months as well as autism symptoms at 36 months. Our results showed significant speech-brain coherence in the 10- and 14-month-old infants. We found no evidence for a relationship between speech-brain coherence and later autism symptoms. Importantly, speech-brain coherence in the stressed syllable rate (1–3 Hz) predicted later vocabulary. Follow-up analyses showed evidence for a relationship between tracking and vocabulary only in 10-month-olds but not in 14-month-olds and indicated possible differences between the likelihood groups. Thus, early tracking of sung nursery rhymes is related to language development in childhood.

7 April 2022 in Developmental Science
Verified
Journal Article
Open access
MMMarlene Meyer
Marlene Meyer
JSJohanna E. van Schaik
Johanna E. van Schaik
FPFrancesco Poli
Francesco Poli
SHSabine Hunnius
Sabine Hunnius
When teaching infants new actions, parents tend to modify their movements. Infants prefer these infant‐directed actions (IDAs) over adult‐directed actions and learn well from them. Yet, it remains unclear how parents’ action modulations capture infants’ attention. Typically, making movements larger than usual is thought to draw attention. Recent findings, however, suggest that parents might exploit movement variability to highlight actions. We hypothesized that variability in movement amplitude rather than higher amplitude is capturing infants’ attention during IDAs. Using EEG, we measured 15‐month‐olds’ brain activity while they were observing action demonstrations with normal, high, or variable amplitude movements. Infants’ theta power (4–5 Hz) in fronto‐central channels was compared between conditions. Frontal theta was significantly higher, indicating stronger attentional engagement, in the variable compared to the other conditions. Computational modelling showed that infants’ frontal theta power was predicted best by how surprising each movement was. Thus, surprise induced by variability in movements rather than large movements alone engages infants’ attention during IDAs. Infants with higher theta power for variable movements were more likely to perform actions successfully and to explore objects novel in the context of the given goal. This highlights the brain mechanisms by which IDAs enhance infants’ attention, learning, and exploration.

28 December 2023 in Developmental Science
Verified
Journal Article
Open access
FPFrancesco Poli
Francesco Poli
TGTommaso Ghilardi
Tommaso Ghilardi
RBRoseriet Beijers
Roseriet Beijers
CWCarolina de Weerth
Carolina de Weerth
MHMax Hinne
Max Hinne
SHSabine Hunnius
Sabine Hunnius
Habituation and dishabituation are the most prevalent measures of infant cognitive functioning, and they have reliably been shown to predict later cognitive outcomes. Yet, the exact mechanisms underlying infant habituation and dishabituation are still unclear. To investigate them, we tested 106 8‐month‐old infants on a classic habituation task and a novel visual learning task. We used a hierarchical Bayesian model to identify individual differences in sustained attention, learning performance, processing speed and curiosity from the visual learning task. These factors were then related to habituation and dishabituation. We found that habituation time was related to individual differences in processing speed, while dishabituation was related to curiosity, but only for infants who did not habituate. These results offer novel insights in the mechanisms underlying habituation and serve as proof of concept for hierarchical models as an effective tool to measure individual differences in infant cognitive functioning.Research Highlights: We used a hierarchical Bayesian model to measure individual differences in infants’ processing speed, learning performance, sustained attention, and curiosity. Faster processing speed was related to shorter habituation time. High curiosity was related to stronger dishabituation responses, but only for infants who did not habituate.

1 January 2025 in Child Development
Verified
Journal Article
Open access
FPFrancesco Poli
Francesco Poli
MMMarlene Meyer
Marlene Meyer
RMRogier B Mars
Rogier B Mars
SHSabine Hunnius
Sabine Hunnius
Humans are driven by an intrinsic motivation to learn, but the developmental origins of curiosity-driven exploration remain unclear. We investigated the computational principles guiding 4-year-old children's exploration during a touchscreen game (N = 102, F = 49, M = 53, primarily white and middle-class, data collected in the Netherlands from 2021–2023). Children guessed the location of characters that were hiding following predictable (yet noisy) patterns. Children could freely switch characters, which allowed us to quantify when they decided to explore something different and what they chose to explore. Bayesian modeling of their responses revealed that children selected activities that were more novel and offered greater learning progress (LP). Moreover, children's interest in making LP correlated with better learning performance. These findings highlight the importance of novelty and LP in guiding children's exploration.