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Ponencia
On the AER Convolution Processors for FPGA
(IEEE Computer Society, 2010)
Image convolution operations in digital computer systems are usually very expensive operations in terms of resource consumption (processor resources and processing time) for an efficient Real-Time application. In these ...
Ponencia
AER tools for Communications and Debugging
(IEEE Computer Society, 2006)
Address-event-representation (AER) is a communications protocol for transferring spikes between bio-inspired chips. Such systems may consist of a hierarchical structure with several chips that transmit spikes among them ...
Ponencia
AER image filtering
(SPIE Digital LIbrary, 2007-05)
Address Event Representation (AER) is an emergent neuromorphic interchip communication protocol that allows realtime virtual massive connectivity among huge number of neurons located on different chips [1]. By exploiting ...
Ponencia
FPGA Implementations Comparison of Neuro-cortical Inspired Convolution Processors for Spiking Systems
(Springer, 2009)
Image convolution operations in digital computer systems are usually very expensive operations in terms of resource consumption (processor resources and processing time) for an efficient Real-Time application. In ...
Ponencia
High-speed image processing with AER-based components
(IEEE Computer Society, 2006)
A high speed sample image processing application using AER-based components is presented. The setup objective is to distinguish between two propellers of different shape rotating at high speed (around 1000 revolutions/sec) ...
Ponencia
An AER Spike-Processing Filter Simulator and Automatic VHDL Generator Based on Cellular Automata
(Springer, 2011)
Spike-based systems are neuro-inspired circuits implementations traditionally used for sensory systems or sensor signal processing. Address-Event- Representation (AER) is a neuromorphic communication protocol for ...
Artículo
Approaching Retinal Ganglion Cell Modeling and FPGA Implementation for Robotics
(MDPI, 2018)
Taking inspiration from biology to solve engineering problems using the organizing principles of biological neural computation is the aim of the field of neuromorphic engineering. This field has demonstrated success in ...
Ponencia
Live Demonstration: real time objects tracking using a bio-inspired processing cascade architecture
(IEEE Computer Society, 2010)
This demonstration shows how a new bio-inspired processing cascade architecture is used for simultaneous objects tracking.
Ponencia
Implementation of a time-warping AER mapper
(IEEE Computer Society, 2009)
In recent implementations of neuromorphic spikebased sensors, multi-neuron processors, and actuators; the spike traffic between devices is coded in the form of asynchronous spike streams following the Address-Event-Re ...
Artículo
CAVIAR: A 45k neuron, 5M synapse, 12G connects/s AER hardware sensory-processing-learning-actuating system for high-speed visual object recognition and tracking
(Institute of Electrical and Electronics Engineers, 2009)
This paper describes CAVIAR, a massively parallel hardware implementation of a spike-based sensing-processing-learning-actuating system inspired by the physiology of the nervous system. CAVIAR uses the asychronous address-event ...