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Mostrando ítems 1-10 de 20
Artículo
A Configurable Event-Driven Convolutional Node with Rate Saturation Mechanism for Modular ConvNet Systems Implementation
(Frontiers Media, 2018)
Convolutional Neural Networks (ConvNets) are a particular type of neural network often used for many applications like image recognition, video analysis or natural language processing. They are inspired by the human brain, ...
Artículo
Plasticity in memristive devices for spiking neural networks
(Frontiers Media, 2015)
Memristive devices present a new device technology allowing for the realization of compact non-volatile memories. Some of them are already in the process of industrialization. Additionally, they exhibit complex multilevel ...
Artículo
Benchmarking Spike-Based Visual Recognition: A Dataset and Evaluation
(Frontiers Media, 2016)
Today, increasing attention is being paid to research into spike-based neural computation both to gain a better understanding of the brain and to explore biologically-inspired computation. Within this field, the primate ...
Artículo
Fast Predictive Handshaking in Synchronous FPGAs for Fully Asynchronous Multisymbol Chip Links: Application to SpiNNaker 2-of-7 Links
(Institute of Electrical and Electronics Engineers, 2016)
Asynchronous handshaken interchip links are very popular among neuromorphic full-custom chips due to their delay-insensitive and high-speed properties. Of special interest are those links that minimize bit-line transitions ...
Artículo
A 32 x 32 Pixel Convolution Processor Chip for Address Event Vision Sensors With 155 ns Event Latency and 20 Meps Throughput
(IEEE Computer Society, 2011)
This paper describes a convolution chip for event-driven vision sensing and processing systems. As opposed to conventional frame-constraint vision systems, in event-driven vision there is no need for frames. In frame-free ...
Artículo
A Spiking Neural Network Model of the Lateral Geniculate Nucleus on the SpiNNaker Machine
(Frontiers Media, 2017)
We present a spiking neural network model of the thalamic Lateral Geniculate Nucleus (LGN) developed on SpiNNaker, which is a state-of-the-art digital neuromorphic hardware built with very-low-power ARM processors. The ...
Ponencia
Live Demonstration: Event-Driven Sensing and Processing for High-Speed Robotic Vision
(Institute of Electrical and Electronics Engineers, 2014)
Artículo
On Multiple AER Handshaking Channels Over High-Speed Bit-Serial Bidirectional LVDS Links With Flow-Control and Clock-Correction on Commercial FPGAs for Scalable Neuromorphic Systems
(Institute of Electrical and Electronics Engineers, 2017)
Address event representation (AER) is a widely employed asynchronous technique for interchanging “neural spikes” between different hardware elements in neuromorphic systems. Each neuron or cell in a chip or a system is ...
Ponencia
Red neuronal convolucional rápida sin fotogramas para reconocimientos de dígitos
(Unión Científica Internacional de Radio, 2011)
In this paper a bio-inspired six-layer convolutional network (ConvNet) non-frame based for digit recognition is shown. The system has been trained with the backpropagation algorithm using 32x32 images from the MNIST ...
Artículo
Fast vision through frameless event-based sensing and convolutional processing: Application to texture recognition
(Institute of Electrical and Electronics Engineers, 2010)
Address-event representation (AER) is an emergent hardware technology which shows a high potential for providing in the near future a solid technological substrate for emulating brain-like processing structures. When used ...