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Mostrando ítems 1-9 de 9
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
On Real-Time AER 2-D Convolutions Hardware for Neuromorphic Spike-Based Cortical Processing
(IEEE Computer Society, 2008)
In this paper, a chip that performs real-time image convolutions with programmable kernels of arbitrary shape is presented. The chip is a first experimental prototype of reduced size to validate the implemented circuits ...
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
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 ...
Artículo
A precise 90º quadrature OTA-C oscillator tunable in the 50-130-MHz range
(Institute of Electrical and Electronics Engineers, 2004)
We present a very-large-scale integration continuous-time sinusoidal operational transconductance amplifiers quadrature oscillator fabricated in a standard double-poly 0.8-μm CMOS process. The oscillator is tunable in the ...
Ponencia
AER Building Blocks for Multi-Layer Multi-Chip Neuromorphic Vision Systems
(Neural Information Processing Systems Foundation, 2005)
A 5-layer neuromorphic vision processor whose components communicate spike events asychronously using the address-eventrepresentation (AER) is demonstrated. The system includes a retina chip, two convolution chips, a ...
Artículo
Multi-casting mesh AER: A scalable assembly approach for reconfigurable neuromorphic structured AER systems. Application to ConvNets
(Institute of Electrical and Electronics Engineers, 2013)
This paper presents a modular, scalable approach to assembling hierarchically structured neuromorphic Address Event Representation (AER) systems. The method consists of arranging modules in a 2D mesh, each communicating ...
Artículo
Comparison between frame-constrained fix-pixel-value and frame-free spiking-dynamic-pixel convNets for visual processing
(Frontiers Media, 2012)
Most scene segmentation and categorization architectures for the extraction of features in images and patches make exhaustive use of 2D convolution operations for template matching, template search, and denoising. Convolutional ...
Artículo
Precise 90º quadrature current-controlled oscillator tunable between 50-130 MHz
(Institute of Electrical and Electronics Engineers, 2003)
A VLSI continuous time sinusoidal OTA-C quadrature oscillator fabricated in a standard double-poly 0.8 µm CMOS process is presented. The oscillator is tunable in the frequency range from 50–130 MHz. The two phases produced ...