This paper presents a new unified design flow developed within the Perplexus project that aims to accelerate parallelizable data-intensive applications in the context of ubiquitous...
This paper presents a network architecture to interconnect mixed-signal VLSI1 integrate-and-fire neural networks in a way that the timing of the neural network data is preserved. ...
Recently, there has been strong interest in large-scale simulations of biological spiking neural networks (SNN) to model the human brain mechanisms and capture its inference capabi...
Mohammad A. Bhuiyan, Vivek K. Pallipuram, Melissa ...
This paper presents configuration methods for an existing neuromorphic hardware and shows first experimental results. The utilized mixed-signal VLSI1 device implements a highly a...
Abstract. We describe a set of preliminary experiments to evolve spiking neural controllers for a vision-based mobile robot. All the evolutionary experiments are carried out on phy...