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

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 the first robotic system featuring audio–visual (AV) sensor fusion with
neuromorphic sensors. We combine a pair of silicon cochleae and a silicon retina on a …

Connecting biologically inspired neural simulations to physical or simulated embodiments
can be useful both in robotics, for the development of a new kind of bio-inspired controllers …

In this paper we present two implementations of spike-based bandpass filters, which are
able to reject out-of-band frequency components in the spike domain. First one is based on …

This paper presents an extension of a previously reported method for object tracking in
video sequences to handle object occlusion. The new tracking method is embedded in a …

This thesis examines the neurobiological components of the motor control system and
relates it to current control theory in order to develop a novel framework for models of motor …

Neuromorphic engineering tries to mimic biology in information processing. Address-event
representation (AER) is a neuromorphic communication protocol for spiking neurons …

Internet-of-Things devices need sensors with low power footprint and capable of producing
semantically rich data. Promising candidates are spiking sensors that use asynchronous …

In recent years, several important advances have been made in the fields of both
biologically inspired sensorial processing and locomotion systems, such as Address Event …