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Mostrando ítems 1-10 de 81
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, ...
Ponencia
Sensor de humedad del suelo de bajo coste para control de regadíos
(2001)
This paper presents a low-cost system to measure soil humidity for application in irrigation control. It is based in the simultaneous measurement of the real and imaginary parts of the impedance of a volume of soil ...
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
Current-mode fully-programmable piece-wise-linear block for neuro-fuzzy applications
(Institute of Electrical and Electronics Engineers, 2002)
A new method to implement an arbitrary piece-wise-linear characteristic in current mode is presented. Each of the breaking points and each slope is separately controllable. As an example a block that implements an N-shaped ...
Ponencia
Analog neural networks for real-time constrained optimization
(Institute of Electrical and Electronics Engineers, 1990)
Architectures and circuit techniques for implementing general piecewise constrained optimization problems using VLSI techniques are explored. Discrete-time analog techniques are considered due to their inherent accuracy, ...
Artículo
On the Design of Voltage-Controlled Sinusoidal Oscillators Using OTA's
(Institute of Electrical and Electronics Engineers, 1990)
A unified systematic approach to the design of voltage-controlled oscillators using only operational transconductance amplifiers (OTA's) and capacitors is discussed in this paper. Two classical oscillator models, i.e., ...
Artículo
Integration of nanoscale memristor synapses in neuromorphic computing architectures
(Institute of Physics Publishing, 2013)
Conventional neuro-computing architectures and artificial neural networks have often been developed with no or loose connections to neuroscience. As a consequence, they have largely ignored key features of biological neural ...
Artículo
10mhz cmos ota-c voltage-controlled quadrature oscillator
(Institution of Engineering and Technology, 1989)
A quadrature-type voltage-controlled oscillator with operational transconductance amplifiers and capacitors (OTA-C) is presented. A monolithic integrated CMOS test circuit is introduced to verify theoretical results. The ...
Artículo
Modeling and Experimental Demonstration of a Hopfield Network Analog-to-Digital Converter with Hybrid CMOS/Memristor Circuits
(Frontiers Media, 2015)
The purpose of this work was to demonstrate the feasibility of building recurrent artificial neural networks with hybrid complementary metal oxide semiconductor (CMOS)/memristor circuits. To do so, we modeled a Hopfield ...
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 ...