Searched for: subject:"Spiking%5C+Neural%5C+Networks"
(1 - 3 of 3)
document
Paredes Valles, Federico (author)
The combination of Spiking Neural Networks and event-based vision sensors holds the potential of highly efficient and high-bandwidth optical flow estimation. This thesis presents, to the best of the author’s knowledge, the first hierarchical spiking architecture in which motion (direction and speed) selectivity emerges in a biologically...
master thesis 2018
document
Kolağasioğlu, Eralp (author)
Cardiovascular diseases are the leading cause of death in the devel- oped world. Preventing these deaths, require long term monitoring and manual inspection of ECG signals, which is a very time consum- ing process. Consequently, a wearable system that can automatically categorize beats is essential.
Neuromorphic machines have been introduced...
master thesis 2018
document
Hofmann, J.A. (author)
The ability to simulate brain neurons in real-time using biophysically-meaningful models is a critical pre-requisite grasping human brain behavior. By simulating neurons' behavior, it is possible, for example, to reduce the need for in-vivo experimentation, to improve artificial intelligence and to replace damaged brain parts in patients. A...
master thesis 2014