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Mostrando ítems 1-10 de 35
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
A Research Roadmap: Connected Health as an Enabler of Cancer Patient Support
(JMIR Publications, 2019)
The evidence that quality of life is a positive variable for the survival of cancer patients has prompted the interest of the health and pharmaceutical industry in considering that variable as a final clinical outcome. ...
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 ...
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 ...
Ponencia
Conversion of Synchronous Artificial Neural Network to Asynchronous Spiking Neural Network using sigma-delta quantization
(IEEE Computer Society, 2019)
Artificial Neural Networks (ANNs) show great performance in several data analysis tasks including visual and auditory applications. However, direct implementation of these algorithms without considering the sparsity of ...
Ponencia
OTA-C oscillator with low frequency variations for on-chip clock generation in serial LVDS-AER links
(IEEE Computer Society, 2009)
This paper presents the design and simulation of an OTA-C oscillator intended to be used as on-chip frequency reference. This reference will be part of the high speed clock generation circuit for Manchester serial LVDS-AER ...
Ponencia
Image matching algorithms in stereo vision using address-event- representation: a theoretical study and evaluation of the different algorithms
(SciTePress, 2011)
Image processing in digital computer systems usually considers the visual information as a sequence of frames. These frames are from cameras that capture reality for a short period of time. They are renewed and transmitted ...