Event cameras are bio-inspired sensors that differ from conventional frame cameras: Instead
of capturing images at a fixed rate, they asynchronously measure per-pixel brightness …

Today's autonomous drones have reaction times of tens of milliseconds, which is not
enough for navigating fast in complex dynamic environments. To safely avoid fast moving …

In this paper, we propose an integrated biologically inspired visual collision avoidance
approach that is deployed on a real hexapod walking robot. The proposed approach is …

An application of the Bayesian optimization to an ordinary differential equation-based neural
network is proposed. The loss function was considered as a black box function of the …

Training neural networks for neuromorphic deployment is non-trivial. There have been a
variety of approaches proposed to adapt back-propagation or back-propagation-like …

Neuromorphic information processing systems mimic the dynamics of neurons and
synapses, and the architecture of biological nervous systems. By using a combination of sub …

Neuromorphic systems promise a novel alternative to the standard von-Neumann
architectures that are computationally expensive for analyzing big data, and are not efficient …

Biological sensor systems are remarkably robust and power efficient systems that solve
complex pattern recognition problems. Neuromorphic engineering concerns the design of …