Developmental Cognitive Neuroscience Team
@devcogneuroscience.bsky.social
Interdisciplinary research team at the University of Zurich unravelling the developmental trajectories of cognition and language in children and adolescents with and without neurodevelopmental or psychiatric disorders
📍 Location: Department of Child and Adolescent Psychiatry and Psychotherapy, University of Zurich
🔬 Fields: developmental neuroscience, cognitive science, language development, psychology, neurobiology
🔬 Fields: developmental neuroscience, cognitive science, language development, psychology, neurobiology
March 11, 2025 at 2:57 PM
📍 Location: Department of Child and Adolescent Psychiatry and Psychotherapy, University of Zurich
🔬 Fields: developmental neuroscience, cognitive science, language development, psychology, neurobiology
🔬 Fields: developmental neuroscience, cognitive science, language development, psychology, neurobiology
✨ As a PhD student, you are responsible for the second phase of this longitudinal study, including the recruitment, collection of behavioral and (f)MRI data, supervision of students, data analysis, and publication of findings.
March 11, 2025 at 2:57 PM
✨ As a PhD student, you are responsible for the second phase of this longitudinal study, including the recruitment, collection of behavioral and (f)MRI data, supervision of students, data analysis, and publication of findings.
This interdisciplinary project, led by S. Brem and S. Di Pietro in collaboration with @ccruff.bsky.social, @noramraschle.bsky.social, M. von Rhein, and A. Rauch investigates the neurobiology of multisensory learning and its development in children with and without developmental language disorders.
March 11, 2025 at 2:57 PM
This interdisciplinary project, led by S. Brem and S. Di Pietro in collaboration with @ccruff.bsky.social, @noramraschle.bsky.social, M. von Rhein, and A. Rauch investigates the neurobiology of multisensory learning and its development in children with and without developmental language disorders.
This research advances our understanding of the neurobiology of learning and reading by investigating how the brain refines its responses within a single learning session.
📖 Read more: doi.org/10.1162/imag...
📖 Read more: doi.org/10.1162/imag...
Functional brain activations correlated with association strength and prediction error during novel symbol–speech sound learning
Abstract. Efficient learning of letters–speech sound associations results in the specialization of visual and audiovisual brain regions, which is crucial for the development of proficient reading skil...
doi.org
February 24, 2025 at 2:23 PM
This research advances our understanding of the neurobiology of learning and reading by investigating how the brain refines its responses within a single learning session.
📖 Read more: doi.org/10.1162/imag...
📖 Read more: doi.org/10.1162/imag...
✅ Visual regions become specialized as audiovisual learning progressed within a single experimental session.
✅ Prediction errors, the model parameter which describe learning from feedback across trials, modulated activation in in mid-frontal, striatal, and cingulate regions.
✅ Prediction errors, the model parameter which describe learning from feedback across trials, modulated activation in in mid-frontal, striatal, and cingulate regions.
February 24, 2025 at 2:23 PM
✅ Visual regions become specialized as audiovisual learning progressed within a single experimental session.
✅ Prediction errors, the model parameter which describe learning from feedback across trials, modulated activation in in mid-frontal, striatal, and cingulate regions.
✅ Prediction errors, the model parameter which describe learning from feedback across trials, modulated activation in in mid-frontal, striatal, and cingulate regions.
🔬 This study explores changes in brain activity when learning new symbol–speech sound associations, a crucial process for reading development. It uses fMRI together with a computational model to describe learning based on feedback. Our results showed that:
February 24, 2025 at 2:23 PM
🔬 This study explores changes in brain activity when learning new symbol–speech sound associations, a crucial process for reading development. It uses fMRI together with a computational model to describe learning based on feedback. Our results showed that:
