The biophysical interactions between neuronal networks and conductive nanoparticles: building blocks of future neural interfaces.
Unraveling neural coding in the visual system by combining human and non-human primate Neurophysiology and Deep Convolutional Neural Networks.
Integrating causal Bayesian networks and neural networks for probabilistic reasoning with complex data
Bandwidth-efficient distributed neural network architectures with application to neuro-sensor networks
Designing resource-constrained neural networks using neural architecture search targeting embedded devices
Multivariate prediction on wake-affected wind turbines using graph neural networks (Eurodyn) database
Code supporting the paper: High-speed predictions of post-burn contraction using a neural network trained on 2D-finite element simulations
reweighted-RNN: An Interpretable Recurrent Neural Network for Video Reconstruction via Deep Unfolding
SparrKULee: A Speech-evoked Auditory Response Repository of the KU Leuven, containing EEG of 85 participants