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Artículo
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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 ...