Self-supervised representation learning (SSRL) methods have shown great
...
The vision transformer (ViT) has achieved state-of-the-art results in va...
Biological vision systems are unparalleled in their ability to learn vis...
Recent time-contrastive learning approaches manage to learn invariant ob...
We apply deep learning (DL) on Magnetic resonance spectroscopy (MRS) dat...
Recurrent connectivity in the visual cortex is believed to aid object
re...
We present a model of the self-calibration of active binocular vision
co...
A key competence for open-ended learning is the formation of increasingl...
Open-ended learning is a core research field of machine learning and rob...
The application of Deep Learning (DL) for medical diagnosis is often ham...
Epilepsy is a common neurological disorder characterized by recurrent
se...
Epilepsy is one of the most common neurological disorders, affecting abo...
Feedforward convolutional neural networks are the prevalent model of cor...
Recurrent connections in the visual cortex are thought to aid object
rec...
Epilepsy is the fourth most common neurological disorder, affecting abou...
Optokinetic nystagmus (OKN) is an involuntary eye movement responsible f...