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Ponencia
Passive localization and detection of quadcopter UAVs by using Dynamic Vision Sensor
(IEEE. Institute of Electrical and Electronics Engineers, 2017)
We present a new passive and low power localization method for quadcopter UAVs (Unmanned aerial vehicles) by using dynamic vision sensors. This method works by detecting the speed of rotation of propellers that is ...
Ponencia
A Precise CMOS Mismatch Model for Analog Design from Weak to Strong Inversion
(IEEE Computer Society, 2004)
A five parameter mismatch model continuos from weak to strong inversion is presented. The model is an extension of a previously reported one valid in the strong inversion region [1]. A mismatch characterization of NMOS ...
Ponencia
AER Synthetic Generation in Hardware for Bio-inspired Spiking Systems
(SPIE Digital Library, 2005-05)
Address Event Representation (AER) is an emergent neuromorphic interchip communication protocol that allows for real-time virtual massive connectivity between huge number neurons located on different chips. By exploiting ...
Ponencia
A signed spatial contrast event spike retina chip
(IEEE Computer Society, 2010)
Reported AER (Address Event Representation) contrast retinae perform a contrast computation based on the ratio between a pixel's local light intensity and a spatially weighted average of its neighbourhood. This results in ...
Ponencia
Performance Comparison of Time-Step-Driven versus Event-Driven Neural State Update Approaches in SpiNNaker
(IEEE. Institute of Electrical and Electronics Engineers, 2018)
The SpiNNaker chip is a multi-core processor optimized for neuromorphic applications. Many SpiNNaker chips are assembled to make a highly parallel million core platform. This system can be used for simulation of a large ...
Ponencia
Design of adaptive nano/CMOS neural architectures
(IEEE Computer Society, 2012)
Memristive devices are a promising technology to implement dense learning synapse arrays emulating the high memory capacity and connectivity of biological brains. Recently, the implementation of STDP learning in memristive ...