4 papers
Decoding Neural Emotion Patterns through Large Language Model Embeddings
Gideon Vos, Maryam Ebrahimpour, Liza van Eijk +2
Understanding how emotional expression in language relates to brain function is a challenge in computational neuroscience and affective computing. Traditional neuroimaging is costl…
Synaptic Pruning: A Biological Inspiration for Deep Learning Regularization
Gideon Vos, Liza van Eijk, Zoltan Sarnyai +1
Synaptic pruning in biological brains removes weak connections to improve efficiency. In contrast, dropout regularization in artificial neural networks randomly deactivates neurons…
A Statistical Approach for Synthetic EEG Data Generation
Gideon Vos, Maryam Ebrahimpour, Liza van Eijk +2
Electroencephalogram (EEG) data is crucial for diagnosing mental health conditions but is costly and time-consuming to collect at scale. Synthetic data generation offers a promisin…
Stabilizing Machine Learning for Reproducible and Explainable Results: A Novel Validation Approach to Subject-Specific Insights
Gideon Vos, Liza van Eijk, Zoltan Sarnyai +1
Machine Learning is transforming medical research by improving diagnostic accuracy and personalizing treatments. General ML models trained on large datasets identify broad patterns…