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  - GEN
A1  - Kayhan, Ezgi
A1  - Matthes, Daniel
A1  - Marriott Haresign, Ira
A1  - Bánki, Anna
A1  - Michel, Christine
A1  - Langeloh, Miriam
A1  - Wass, Sam
A1  - Hoehl, 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  - GEN
A1  - Köster, Moritz
A1  - Kayhan, Ezgi
A1  - Langeloh, Miriam
A1  - Hoehl, 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  -