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Mostrando ítems 1-10 de 39
Ponencia
On scalable spiking convnet hardware for cortex-like visual sensory processing systems
(IEEE Computer Society, 2010)
This paper summarizes how Convolutional Neural Networks (ConvNets) can be implemented in hardware using Spiking neural network Address-Event-Representation (AER) technology, for sophisticated pattern and object recognition ...
Artículo
Asynchronous Spiking Neurons, the Natural Key to Exploit Temporal Sparsity
(IEEE Computer Society, 2019)
Inference of Deep Neural Networks for stream signal (Video/Audio) processing in edge devices is still challenging. Unlike the most state of the art inference engines which are efficient for static signals, our brain is ...
Ponencia
LVDS interface for AER links with burst mode operation capability
(IEEE Computer Society, 2008)
This paper presents the design and simulation of a serial AER LVDS communication link. It converts data from classical AER parallel bus with a 4-phase handshaking protocol into a bit stream which is transmitted serially ...
Ponencia
High-Speed Character Recognition System based on a complex hierarchical AER architecture
(IEEE Computer Society, 2008)
In this paper we briefly summarize the fundamental properties of spikes processing applied to artificial vision systems. This sensing and processing technology is capable of very high speed throughput, because it does ...
Ponencia
Learning weights with STDP to build prototype images for classification
(IEEE Computer Society, 2019)
The combination of Spike Timing Dependent Plasticity (STDP) and latency coding used in a spiking neural network has been shown to learn hierarchical features. In this paper we propose a new way to classify images using ...
Artículo
Compact low-power calibration mini-DACs for neural arrays with programmable weights
(Institute of Electrical and Electronics Engineers, 2003)
This paper considers the viability of compact low-resolution low-power mini digital-to-analog converters (mini-DACs) for use in large arrays of neural type cells, where programmable weights are required. Transistors are ...
Ponencia
Scene Context Classification with Event-Driven Spiking Deep Neural Networks
(IEEE Computer Society, 2018)
Event-Driven computation is attracting growing attention among researchers for several reasons. On one hand, the availability of new bio-inspired retina-like vision sensors that provide spiking outputs, like the Dynamic ...
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
A spatial contrast retina with on-chip calibration for neuromorphic spike-based AER vision systems
(Institute of Electrical and Electronics Engineers, 2007)
We present a 32 32 pixels contrast retina microchip that provides its output as an address event representation (AER) stream. Spatial contrast is computed as the ratio between pixel photocurrent and a local average between ...
Artículo
A neuromorphic cortical-layer microchip for spike-based event processing vision systems
(Institute of Electrical and Electronics Engineers, 2006)
We present a neuromorphic cortical-layer processing microchip for address event representation (AER) spike-based processing systems. The microchip computes 2-D convolutions of video information represented in AER format ...