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Mostrando ítems 1-10 de 10
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
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 ...
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
The stochastic I-Pot: A circuit block for programming bias currents
(Institute of Electrical and Electronics Engineers, 2007)
In this brief, we present the “Stochastic I-Pot.” It is a circuit element that allows for digitally programming a precise bias current ranging over many decades, from pico-amperes up to hundreds of micro-amperes. I-Pot ...
Ponencia
Live Demonstration: Event-Driven Sensing and Processing for High-Speed Robotic Vision
(Institute of Electrical and Electronics Engineers, 2014)
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 ...
Artículo
A CMOL-Like Memristor-CMOS Neuromorphic Chip-Core Demonstrating Stochastic Binary STDP
(Institute of Electrical and Electronics Engineers Inc., 2022-12)
The advent of nanoscale memristors raised hopes of being able to build CMOL (CMOS/nanowire/molecular) type ultra-dense in-memory-computing circuit architectures. In CMOL, nanoscale memristors would be fabricated at the ...
Artículo
On spike-timing-dependent-plasticity, memristive devices, and building a self-learning visual cortex
(Frontiers Media, 2011)
In this paper we present a very exciting overlap between emergent nanotechnology and neuroscience, which has been discovered by neuromorphic engineers. Specifically, we are linking one type of memristor nanotechnology ...
Ponencia
Event-driven sensing and processing for high-speed robotic vision
(Institute of Electrical and Electronics Engineers, 2014)
We present here an overview of a new vision paradigm where sensors and processors use visual information not represented by sequences of frames. Event-driven vision is inherently frame-free, ...
Artículo
On the use of orientation filters for 3D reconstruction in event-driven stereo vision
(Frontiers Media, 2014)
The recently developed Dynamic Vision Sensors (DVS) sense visual information asynchronously and code it into trains of events with sub-micro second temporal resolution. This high temporal precision makes the output of these ...