Interfacing artificial devices with the human brain is the central goal of neurotechnology. Yet, our imaginations are often limited by currently available paradigms and technologies. Suggestions for brain-machine interfaces have changed over time, along wi ...
This thesis is concerned with improving the interpretability of network summaries in both a theoretical and an applied framework, with an application to clinically relevant problems in neuroscience.
The theoretical part of this thesis is concerned with gra ...
Pose-invariant face recognition has become a challenging problem for modern AI-based face recognition systems. It aims at matching a profile face captured in the wild with a frontal face registered in a database. Existing methods perform face frontalizatio ...
The NEURON simulator, established in 1984 and continuously developed since, stands as
the preeminent tool for neuron simulation within computational neuroscience. Its widespread
adoption and compatibility with computational clusters and supercomputers unde ...
Stereo matching aiming to perceive the 3-D geometry of a scene facilitates numerous computer vision tasks used in advanced driver assistance systems (ADAS). Although numerous methods have been proposed for this task by leveraging deep convolutional neural ...
IEEE Institute of Electrical and Electronics Engineers2021
