TY - JOUR A1 - Vanoncini, Monica A1 - Höhl, Stefanie A1 - Elsner, Birgit A1 - Wallot, Sebastian A1 - Boll-Avetisyan, Natalie A1 - Kayhan, Ezgi T1 - Mother-infant social gaze dynamics relate to infant brain activity and word segmentation JF - Developmental cognitive neuroscience : a journal for cognitive, affective and social developmental neuroscience N2 - The ‘social brain’, consisting of areas sensitive to social information, supposedly gates the mechanisms involved in human language learning. Early preverbal interactions are guided by ostensive signals, such as gaze patterns, which are coordinated across body, brain, and environment. However, little is known about how the infant brain processes social gaze in naturalistic interactions and how this relates to infant language development. During free-play of 9-month-olds with their mothers, we recorded hemodynamic cortical activity of ´social brain` areas (prefrontal cortex, temporo-parietal junctions) via fNIRS, and micro-coded mother’s and infant’s social gaze. Infants’ speech processing was assessed with a word segmentation task. Using joint recurrence quantification analysis, we examined the connection between infants’ ´social brain` activity and the temporal dynamics of social gaze at intrapersonal (i.e., infant’s coordination, maternal coordination) and interpersonal (i.e., dyadic coupling) levels. Regression modeling revealed that intrapersonal dynamics in maternal social gaze (but not infant’s coordination or dyadic coupling) coordinated significantly with infant’s cortical activity. Moreover, recurrence quantification analysis revealed that intrapersonal maternal social gaze dynamics (in terms of entropy) were the best predictor of infants’ word segmentation. The findings support the importance of social interaction in language development, particularly highlighting maternal social gaze dynamics. KW - functional near-infrared spectroscopy KW - infant word segmentation KW - social gaze KW - mother-infant interactions KW - entropy KW - recurrence quantification analysis Y1 - 2023 U6 - https://doi.org/10.1016/j.dcn.2023.101331 SN - 1878-9293 SN - 1878-9307 VL - 65 PB - Elsevier CY - Amsterdam ER - TY - JOUR A1 - Vanoncini, Monica A1 - Boll-Avetisyan, Natalie A1 - Elsner, Birgit A1 - Höhl, Stefanie A1 - Kayhan, Ezgi T1 - The role of mother-infant emotional synchrony in speech processing in 9-month-old infants JF - Infant behavior and development : an international & interdisciplinary journal N2 - Rhythmicity characterizes both interpersonal synchrony and spoken language. Emotions and language are forms of interpersonal communication, which interact with each other throughout development. We investigated whether and how emotional synchrony between mothers and their 9-month-old infants relates to infants' word segmentation as an early marker of language development. Twenty-six 9-month-old infants and their German-speaking mothers took part in the study. To measure emotional synchrony, we coded positive, neutral and negative emotional expressions of the mothers and their infants during a free play session. We then calculated the degree to which the mothers' and their infants' matching emotional expressions followed a predictable pattern. To measure word segmentation, we familiarized infants with auditory text passages and tested how long they looked at the screen while listening to familiar versus novel words. We found that higher levels of predictability (i.e. low entropy) during mother-infant interaction is associated with infants' word segmentation performance. These findings suggest that individual differences in word segmentation relate to the complexity and predictability of emotional expressions during mother-infant interactions. KW - Mother -infant dyads KW - Entropy KW - Emotional synchrony KW - Cross -recurrence KW - quantification analysis KW - Word segmentation KW - Rhythmicity Y1 - 2022 U6 - https://doi.org/10.1016/j.infbeh.2022.101772 SN - 0163-6383 SN - 1879-0453 VL - 69 PB - Elsevier Science CY - Amsterdam [u.a.] ER - TY - JOUR A1 - Nguyen, Dong Hai Phuong A1 - Georgie, Yasmin Kim A1 - Kayhan, Ezgi A1 - Eppe, Manfred A1 - Hafner, Verena Vanessa A1 - Wermter, Stefan T1 - Sensorimotor representation learning for an "active self" in robots BT - a model survey JF - Künstliche Intelligenz : KI ; Forschung, Entwicklung, Erfahrungen ; Organ des Fachbereichs 1 Künstliche Intelligenz der Gesellschaft für Informatik e.V., GI / Fachbereich 1 der Gesellschaft für Informatik e.V N2 - Safe human-robot interactions require robots to be able to learn how to behave appropriately in spaces populated by people and thus to cope with the challenges posed by our dynamic and unstructured environment, rather than being provided a rigid set of rules for operations. In humans, these capabilities are thought to be related to our ability to perceive our body in space, sensing the location of our limbs during movement, being aware of other objects and agents, and controlling our body parts to interact with them intentionally. Toward the next generation of robots with bio-inspired capacities, in this paper, we first review the developmental processes of underlying mechanisms of these abilities: The sensory representations of body schema, peripersonal space, and the active self in humans. Second, we provide a survey of robotics models of these sensory representations and robotics models of the self; and we compare these models with the human counterparts. Finally, we analyze what is missing from these robotics models and propose a theoretical computational framework, which aims to allow the emergence of the sense of self in artificial agents by developing sensory representations through self-exploration. KW - Developmental robotics KW - Body schema KW - Peripersonal space KW - Agency KW - Robot learning Y1 - 2021 U6 - https://doi.org/10.1007/s13218-021-00703-z SN - 0933-1875 SN - 1610-1987 VL - 35 IS - 1 SP - 9 EP - 35 PB - Springer CY - Berlin ER - TY - GEN A1 - Musculus, Lisa A1 - Tünte, Markus R. A1 - Raab, Markus A1 - Kayhan, Ezgi T1 - An Embodied Cognition Perspective on the Role of Interoception in the Development of the Minimal Self T2 - Postprints der Universität Potsdam : Humanwissenschaftliche Reihe N2 - Interoception is an often neglected but crucial aspect of the human minimal self. In this perspective, we extend the embodiment account of interoceptive inference to explain the development of the minimal self in humans. To do so, we first provide a comparative overview of the central accounts addressing the link between interoception and the minimal self. Grounding our arguments on the embodiment framework, we propose a bidirectional relationship between motor and interoceptive states, which jointly contribute to the development of the minimal self. We present empirical findings on interoception in development and discuss the role of interoception in the development of the minimal self. Moreover, we make theoretical predictions that can be tested in future experiments. Our goal is to provide a comprehensive view on the mechanisms underlying the minimal self by explaining the role of interoception in the development of the minimal self. T3 - Zweitveröffentlichungen der Universität Potsdam : Humanwissenschaftliche Reihe - 755 KW - interoception KW - development of minimal self KW - cardioception KW - embodied cognition KW - bodily self Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-544978 SN - 1866-8364 ER - TY - JOUR A1 - Musculus, Lisa A1 - Tünte, Markus R. A1 - Raab, Markus A1 - Kayhan, Ezgi T1 - An embodied cognition perspective on the role of interoception in the development of the minimal self JF - Frontiers in Psychology N2 - Interoception is an often neglected but crucial aspect of the human minimal self. In this perspective, we extend the embodiment account of interoceptive inference to explain the development of the minimal self in humans. To do so, we first provide a comparative overview of the central accounts addressing the link between interoception and the minimal self. Grounding our arguments on the embodiment framework, we propose a bidirectional relationship between motor and interoceptive states, which jointly contribute to the development of the minimal self. We present empirical findings on interoception in development and discuss the role of interoception in the development of the minimal self. Moreover, we make theoretical predictions that can be tested in future experiments. Our goal is to provide a comprehensive view on the mechanisms underlying the minimal self by explaining the role of interoception in the development of the minimal self. KW - interoception KW - development of minimal self KW - cardioception KW - embodied cognition KW - bodily self Y1 - 2021 U6 - https://doi.org/10.3389/fpsyg.2021.716950 SN - 1664-1078 VL - 12 PB - Frontiers Research Foundation CY - Lausanne ER - TY - JOUR A1 - Köster, Moritz A1 - Kayhan, Ezgi A1 - Langeloh, Miriam A1 - Höhl, Stefanie T1 - Making sense of the world BT - Infant learning from a predictive processing perspective JF - Perspectives on Psychological Science N2 - For human infants, the first years after birth are a period of intense exploration-getting to understand their own competencies in interaction with a complex physical and social environment. In contemporary neuroscience, the predictive-processing framework has been proposed as a general working principle of the human brain, the optimization of predictions about the consequences of one's own actions, and sensory inputs from the environment. However, the predictive-processing framework has rarely been applied to infancy research. We argue that a predictive-processing framework may provide a unifying perspective on several phenomena of infant development and learning that may seem unrelated at first sight. These phenomena include statistical learning principles, infants' motor and proprioceptive learning, and infants' basic understanding of their physical and social environment. We discuss how a predictive-processing perspective can advance the understanding of infants' early learning processes in theory, research, and application. KW - cognition KW - infant development KW - neuroscience KW - perception KW - social cognition Y1 - 2020 U6 - https://doi.org/10.1177/1745691619895071 SN - 1745-6916 SN - 1745-6924 VL - 15 IS - 3 SP - 562 EP - 571 PB - Sage CY - London ER - TY - GEN A1 - Köster, Moritz A1 - Kayhan, Ezgi A1 - Langeloh, Miriam A1 - Höhl, Stefanie T1 - Making sense of the world BT - Infant learning from a predictive processing perspective T2 - Zweitveröffentlichungen der Universität Potsdam : Humanwissenschaftliche Reihe N2 - For human infants, the first years after birth are a period of intense exploration-getting to understand their own competencies in interaction with a complex physical and social environment. In contemporary neuroscience, the predictive-processing framework has been proposed as a general working principle of the human brain, the optimization of predictions about the consequences of one's own actions, and sensory inputs from the environment. However, the predictive-processing framework has rarely been applied to infancy research. We argue that a predictive-processing framework may provide a unifying perspective on several phenomena of infant development and learning that may seem unrelated at first sight. These phenomena include statistical learning principles, infants' motor and proprioceptive learning, and infants' basic understanding of their physical and social environment. We discuss how a predictive-processing perspective can advance the understanding of infants' early learning processes in theory, research, and application. T3 - Zweitveröffentlichungen der Universität Potsdam : Humanwissenschaftliche Reihe - 864 KW - cognition KW - infant development KW - neuroscience KW - perception KW - social cognition Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-513717 SN - 1866-8364 IS - 3 ER - TY - GEN A1 - Kayhan, Ezgi A1 - Matthes, Daniel A1 - Marriott Haresign, Ira A1 - Bánki, Anna A1 - Michel, Christine A1 - Langeloh, Miriam A1 - Wass, Sam A1 - Höhl, Stefanie A1 - Morales, Santiago T1 - DEEP: A dual EEG pipeline for developmental hyperscanning studies T2 - Zweitveröffentlichungen der Universität Potsdam : Humanwissenschaftliche Reihe N2 - Cutting-edge hyperscanning methods led to a paradigm shift in social neuroscience. It allowed researchers to measure dynamic mutual alignment of neural processes between two or more individuals in naturalistic contexts. The ever-growing interest in hyperscanning research calls for the development of transparent and validated data analysis methods to further advance the field. We have developed and tested a dual electroencephalography (EEG) analysis pipeline, namely DEEP. Following the preprocessing of the data, DEEP allows users to calculate Phase Locking Values (PLVs) and cross-frequency PLVs as indices of inter-brain phase alignment of dyads as well as time-frequency responses and EEG power for each participant. The pipeline also includes scripts to control for spurious correlations. Our goal is to contribute to open and reproducible science practices by making DEEP publicly available together with an example mother-infant EEG hyperscanning dataset. T3 - Zweitveröffentlichungen der Universität Potsdam : Humanwissenschaftliche Reihe - 799 KW - Developmental hyperscanning KW - Dual EEG analysis KW - Adult-child interaction KW - Phase Locking Value KW - PLV KW - Cross-frequency PLV KW - FieldTrip Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-566899 SN - 1866-8364 SP - 1 EP - 11 PB - Universitätsverlag Potsdam CY - Potsdam ER - TY - JOUR A1 - Kayhan, Ezgi A1 - Matthes, Daniel A1 - Marriott Haresign, Ira A1 - Bánki, Anna A1 - Michel, Christine A1 - Langeloh, Miriam A1 - Wass, Sam A1 - Höhl, Stefanie T1 - DEEP: A dual EEG pipeline for developmental hyperscanning studies JF - Developmental Cognitive Neuroscience N2 - Cutting-edge hyperscanning methods led to a paradigm shift in social neuroscience. It allowed researchers to measure dynamic mutual alignment of neural processes between two or more individuals in naturalistic contexts. The ever-growing interest in hyperscanning research calls for the development of transparent and validated data analysis methods to further advance the field. We have developed and tested a dual electroencephalography (EEG) analysis pipeline, namely DEEP. Following the preprocessing of the data, DEEP allows users to calculate Phase Locking Values (PLVs) and cross-frequency PLVs as indices of inter-brain phase alignment of dyads as well as time-frequency responses and EEG power for each participant. The pipeline also includes scripts to control for spurious correlations. Our goal is to contribute to open and reproducible science practices by making DEEP publicly available together with an example mother-infant EEG hyperscanning dataset. KW - Developmental hyperscanning KW - Dual EEG analysis KW - Adult-child interaction KW - Phase Locking Value KW - PLV KW - Cross-frequency PLV KW - FieldTrip Y1 - 2022 U6 - https://doi.org/10.1016/j.dcn.2022.101104 SN - 1878-9307 VL - 54 SP - 1 EP - 11 PB - Elsevier CY - Amsterdam, Niederlande ER - TY - JOUR A1 - Kayhan, Ezgi A1 - Heil, Lieke A1 - Kwisthout, Johan A1 - van Rooij, Iris A1 - Hunnius, Sabine A1 - Bekkering, Harold T1 - Young children integrate current observations, priors and agent information to predict others’ actions JF - PLOS ONE / Public Library of Science N2 - From early on in life, children are able to use information from their environment to form predictions about events. For instance, they can use statistical information about a population to predict the sample drawn from that population and infer an agent’s preferences from systematic violations of random sampling. We investigated whether and how young children infer an agent’s sampling biases. Moreover, we examined whether pupil data of toddlers follow the predictions of a computational model based on the causal Bayesian network formalization of predictive processing. We formalized three hypotheses about how different explanatory variables (i.e., prior probabilities, current observations, and agent characteristics) are used to predict others’ actions. We measured pupillary responses as a behavioral marker of ‘prediction errors’ (i.e., the perceived mismatch between what one’s model of an agent predicts and what the agent actually does). Pupillary responses of 24-month-olds, but not 18-month-olds, showed that young children integrated information about current observations, priors and agents to make predictions about agents and their actions. These findings shed light on the mechanisms behind toddlers’ inferences about agent-caused events. To our knowledge, this is the first study in which young children's pupillary responses are used as markers of prediction errors, which were qualitatively compared to the predictions by a computational model based on the causal Bayesian network formalization of predictive processing. Y1 - 2019 U6 - https://doi.org/10.1371/journal.pone.0200976 SN - 1932-6203 VL - 14 IS - 5 PB - PLOS CY - San Fransisco ER - TY - JOUR A1 - Hafner, Verena A1 - Hommel, Bernhard A1 - Kayhan, Ezgi A1 - Lee, Dongheui A1 - Paulus, Markus A1 - Verschoor, Stephan T1 - Editorial: The mechanisms underlying the human minimal self JF - Frontiers in psychology KW - agents KW - self KW - minimal self KW - robotics KW - humanoids KW - cognition Y1 - 2022 U6 - https://doi.org/10.3389/fpsyg.2022.961480 SN - 1664-1078 VL - 13 PB - Frontiers Media CY - Lausanne ER - TY - JOUR A1 - Boyadzhieva, Asena A1 - Kayhan, Ezgi T1 - Keeping the breath in mind BT - respiration, neural oscillations, and the free energy principle JF - Frontiers in neuroscience / Frontiers Research Foundation N2 - Scientific interest in the brain and body interactions has been surging in recent years. One fundamental yet underexplored aspect of brain and body interactions is the link between the respiratory and the nervous systems. In this article, we give an overview of the emerging literature on how respiration modulates neural, cognitive and emotional processes. Moreover, we present a perspective linking respiration to the free-energy principle. We frame volitional modulation of the breath as an active inference mechanism in which sensory evidence is recontextualized to alter interoceptive models. We further propose that respiration-entrained gamma oscillations may reflect the propagation of prediction errors from the sensory level up to cortical regions in order to alter higher level predictions. Accordingly, controlled breathing emerges as an easily accessible tool for emotional, cognitive, and physiological regulation. KW - interoception KW - respiration-entrained neural oscillations KW - controlled KW - breathing KW - free-energy principle KW - self-regulation Y1 - 2021 U6 - https://doi.org/10.3389/fnins.2021.647579 SN - 1662-453X VL - 15 PB - Frontiers Research Foundation CY - Lausanne ER -