The nervous systems converts the physical quantities sensed by its primary receptors into
trains of events that are then processed in the brain. The unmatched efficiency in information …

The current trend in the evolution of sensor systems seeks ways to provide more accuracy
and resolution, while at the same time decreasing the size and power consumption. The use …

Conventional vision-based robotic systems that must operate quickly require high video
frame rates and consequently high computational costs. Visual response latencies are lower …

This paper presents a new architecture, design flow, and field-programmable gate array
(FPGA) implementation analysis of a neuromorphic binaural auditory sensor, designed …

In this paper we present a neuro-inspired spike-based close-loop controller written in VHDL
and implemented for FPGAs. This controller has been focused on controlling a DC motor …

Sensors provide data which need to be processed after acquisition to remove noise and
extract relevant information. When the sensor is a network node and acquired data are to be …

Neuromorphic engineers study models and implementations of systems that mimic neurons
behavior in the brain. Neuro-inspired systems commonly use spikes to represent …

This paper presents iSpike: a C++ library that interfaces between spiking neural network
simulators and the iCub humanoid robot. It uses a biologically inspired approach to convert …

A self-repairing robot utilising a spiking astrocyte-neuron network is presented in this paper.
It uses the output spike frequency of neurons to control the motor speed and robot activation …

Audio classification has always been an interesting subject of research inside the
neuromorphic engineering field. Tools like Nengo or Brian, and hardware platforms like the …