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different dyadic motor coordination tasks. A range of neurophysiological measures (EEG, ECG and fNIRS) as well as behavioural measures will be recorded simultaneously from both partners. Machine-learning
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to express the negator (‘not’) early rather than late in the utterance. You will learn to use multiple methods, including artificial language learning and EEG, collecting data from different language
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datasets with different configurations (e.g., number of channels, sampling frequency and resolution). To leverage large-scale self-supervised learning to train models on unlabeled EEG data, reducing reliance
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than late in the utterance. You will learn to use multiple methods, including artificial language learning and EEG, collecting data from different language communities, including indigenous language
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imaging. The department provides access to modern experimental facilities, including multiple eye-tracking and combined EEG and eye-tracking laboratories. The project also benefits from access
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independently as well as with others in a high-paced research environment. Experience with eye tracking, EEG, R, Matlab, or Eprime would be put to good use, as would coursework in semantics, pragmatics, and
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At the Max Planck Institute for Human Development, we study how and why people develop differently over the course of their lives, and how physical, societal, and technological aspects
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Max Planck Institute for Human Cognitive and Brain Sciences • | Leipzig, Sachsen | Germany | 2 months ago
for diffusion imaging), electroencephalography (EEG), magnetoencephalography (MEG), positron emission tomography-MRI (PET-MRI), near-infrared spectroscopy, transcranial magnetic stimulation (TMS), and direct