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Mostrando ítems 1-7 de 7
Ponencia
Live Demonstration: Multiplexing AER Asynchronous Channels over LVDS Links with Flow-Control and Clock- Correction for Scalable Neuromorphic Systems
(IEEE Computer Society, 2017)
In this live demonstration we exploit the use of a serial link for fast asynchronous communication in massively parallel processing platforms connected to a DVS for realtime implementation of bio-inspired vision processing ...
Artículo
An event-based classifier for Dynamic Vision Sensor and synthetic data
(Frontiers Media, 2017)
This paper introduces a novel methodology for training an event-driven classifier within a Spiking Neural Network (SNN) System capable of yielding good classification results when using both synthetic input data and real ...
Ponencia
Spiking Hough for Shape Recognition
(Springer, 2017)
The paper implements a spiking neural model methodology inspired on the Hough Transform. On-line event-driven spikes from Dynamic Vision Sensors are evaluated to characterize and recognize the shape of Poker signs. The ...
Ponencia
Hardware Implementation of Convolutional STDP for On-line Visual Feature Learning
(IEEE. Institute of Electrical and Electronics Engineers, 2017)
We present a highly hardware friendly STDP (Spike Timing Dependent Plasticity) learning rule for training Spiking Convolutional Cores in Unsupervised mode and training Fully Connected Classifiers in Supervised ...
Ponencia
Multiplexing AER Asynchronous Channels over LVDS Links with Flow-Control and Clock-Correction for Scalable Neuromorphic Systems
(IEEE Computer Society, 2017)
Address-Event-Representation (AER) is a widely extended asynchronous technique for interchanging “neural spikes” among different hardware elements in Neuromorphic Systems. Conventional AER links use parallel physical ...
Ponencia
Live demonstration: Hardware implementation of convolutional STDP for on-line visual feature learning
(IEEE. Institute of Electrical and Electronics Engineers, 2017)
We present live demonstration of a hardware that can learn visual features on-line and in real-time during presentation of objects. Input Spikes are coming from a bio-inspired silicon retina or Dynamic Vision Sensor (DVS) ...
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 ...