Mr Don Yin

(he/him/his)

University Position

PhD student

Interests

I am a PhD student in the Department of Clinical Neurosciences, supervised by Dr Kamen Tsvetanov. I study whether deep-learning models of brain MRI, such as autoencoders and generative models, preserve the disease-related morphometric signal that neuroimaging studies depend on. Using UK Biobank and the Genetic Frontotemporal Dementia Initiative (GENFI), I test how preprocessing and registration choices affect voxel-based morphometry maps of genetic frontotemporal dementia, with the wider aim of understanding brain resilience in ageing and neurodegeneration.

Key Publications

Convolutional Neural Networks Trained to Identify Words Provide a Surprisingly Good Account of Visual Form Priming Effects

DOI: https://doi.org/10.1007/s42113-023-00172-7
Journal: Computational Brain & Behavior
Year: 2023
Authors: Yin, D., Biscione, V., & Bowers, J. S.

Introducing the MindSet benchmark for comparing DNNs to human vision

DOI: https://doi.org/10.32470/ccn.2023.1127-0
Journal: 2023 Conference on Cognitive Computational Neuroscience
Year: 2023
Authors: Biscione, V., Yin, D., Malhotra, G., Dujmović, M., Montero, M., Puebla, G., Adolfi, F., Tsvetkov, C., Evans, B., & Bowers, J. S.