The default mode network: where the idiosyncratic self meets the shared social world

Y Yeshurun, M Nguyen, U Hasson - Nature reviews neuroscience, 2021 - nature.com
The default mode network (DMN) is classically considered an 'intrinsic'system, specializing
in internally oriented cognitive processes such as daydreaming, reminiscing and future …

Neural synchrony predicts children's learning of novel words

EA Piazza, A Cohen, J Trach, C Lew-Williams - Cognition, 2021 - Elsevier
Social interactions, such as joint book reading, have a well-studied influence on early
development and language learning. Recent work has begun to investigate the neural …

An evaluation of inter-brain EEG coupling methods in hyperscanning studies

X Xu, Q Kong, D Zhang, Y Zhang - Cognitive Neurodynamics, 2024 - Springer
EEG-based hyperscanning technology has been increasingly applied to analyze
interpersonal interactions in social neuroscience in recent years. However, different …

Knowledge-concept diagnosis from fmris by using a space-time embedding graph convolutional network

Y Lei, Y Zhang, Y Lin, X Shang - International Conference on Web …, 2023 - Springer
Diagnosing the contents of learning in brain activities is a long-standing research task in
cognitive sciences. The current studies on cognitive diagnosis (CD) in education determine …

Studying episodic memory using real-time fMRI

JD Wammes, Q Lin, KA Norman, NB Turk-Browne - fMRI neurofeedback, 2021 - Elsevier
Memory refers to our ability to acquire, store, retrieve, and restructure experiences and
knowledge over our lifetime. In this way, memory is fundamental to virtually all behaviors …

Big Data, analytics and education: challenges, opportunities and an example from a Large University unit

RS Kenett, T Prodromou - Big data in education: Pedagogy and research, 2021 - Springer
The challenge in educational technology (EdTech) is to apply modern analytics to
educational data in order to derive information. Information quality (InfoQ) has been …

Overlap** semantic representations of sign and speech in novice sign language learners

ME Hillis, B Aubrey, J Blanchet, Q Shao… - Proceedings of the …, 2022 - escholarship.org
The presence of semantic information in multivariate patterns of neural activity has been
explored as a method of measuring knowledge and learning. Using fMRI, we investigated …