7 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…
Coarse-graining in time, emergent temperature in 2d CFT at large central charge
Gideon Vos
Using the monodromy method, a compact expression is obtained for the identity block contribution to the expectation value of two low-energy probe operators on a broad class of time…
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…
Signatures of Bulk Black Hole Merger from Semi-classical 2d CFT
Souvik Banerjee, Gideon Vos
We study the real-time bulk AdS two-into-two scattering amplitude of conical defects. This is done through means of a previously developed method of systematic approximation of…
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…