Searched for: mods_note_programme_s%3A%22Electrical%255C+Engineering%255C+%257C%255C+Circuits%255C+and%255C+Systems%22
(1 - 1 of 1)
document
Prozée, Randy (author)
The development of the Spiking Neural Network (SNN) offers great potential in combination with new types of event-based sensors, by exploiting the embedded temporal information. When combined with dedicated neuromorphic hardware it enables ultra-low power solutions and local on-chip learning. This work implements and presents a viable...
master thesis 2021