62 research outputs found
CMOS circuit implementations for neuron models
The mathematical neuron basic cells used as basic cells in popular neural network architectures and algorithms are discussed. The most popular neuron models (without training) used in neural network architectures and algorithms (NNA) are considered, focusing on hardware implementation of neuron models used in NAA, and in emulation of biological systems. Mathematical descriptions and block diagram representations are utilized in an independent approach. Nonoscillatory and oscillatory models are discusse
Computer-Aided Design of Microwave Circuits
Coordinated Science Laboratory was formerly known as Control Systems LaboratoryJoint Services Electronics Program / DAAB07-72-C-0259National Science Foundation / NSF-GK31633Consejo Nacional de la Investigacion Cientifica de MexicoOpe
OTA-based non-linear function approximations
The suitability of operational transconductance amplifiers (OTAs) as the main active element to obtain basic building blocks for the design of programmable nonlinear continuous-time networks is examined. The main purpose is to show that the OTA, as the active element in basic building blocks, can be efficiently used for nonlinear continuous-time function synthesis. Two efficient nonlinear function synthesis approaches are presented. The first approach is a rational approximation, and the second is a piecewise-linear approach. Test circuits have been integrated using a 3-μm p-well CMOS process. The flexibility of the designed and tested circuits is confirmed
CMOS OTA-C high-frequency sinusoidal oscillators
Several topology families are given to implement practical CMOS sinusoidal oscillators by using operational transconductance amplifier-capacitor (OTA-C) techniques. Design techniques are proposed taking into account the CMOS OTA's dominant nonidealities. Building blocks are presented for amplitude control, both by automatic gain control (AGC) schemes and by limitation schemes. Experimental results from 3- and 2- mu m CMOS (MOSIS) prototypes that exhibit oscillation frequencies of up to 69 MHz are obtained. The amplitudes can be adjusted between 1 V peak to peak and 100 mV peak to peak. Total harmonic distortions from 2.8% down to 0.2% have been measured experimentally.Comisión Interministerial de Ciencia y Tecnología ME87-000
A basic building block approach to CMOS design of analog neuro/fuzzy systems
Outlines a systematic approach to design fuzzy inference systems using analog integrated circuits in standard CMOS VLSI technologies. The proposed circuit building blocks are arranged in a layered neuro/fuzzy architecture composed of 5 layers: fuzzification, T-norm, normalization, consequent, and output. Inference is performed by using Takagi and Sugeno's (1989) IF-THEN rules, particularly where the rule's output contains only a constant term-a singleton. A simple CMOS circuit with tunable bell-like transfer characteristics is used for the fuzzification. The inputs to this circuit are voltages while the outputs are currents. Circuit blocks proposed for the remaining layers operate in the current-mode domain. Innovative circuits are proposed for the T-norm and normalization layers. The other two layers use current mirrors and KCL. All the proposed circuits emphasize simplicity at the circuit level-a prerequisite to increasing system level complexity and operation speed. A 3-input, 4-rule controller has been designed for demonstration purposes in a 1.6 /spl mu/m CMOS single-poly, double-metal technology. We include measurements from prototypes of the membership function block and detailed HSPICE simulations of the whole controller. These results operation speed in the range of 5 MFLIPS (million fuzzy logic inferences per second) with systematic errors below 1%
Operational transconductance amplifier-based nonlinear function syntheses
It is shown that the operational transconductance amplifier, as the active element in basic building blocks, can be efficiently used for programmable nonlinear continuous-time function synthesis. Two efficient nonlinear function synthesis approaches are presented. The first approach is a rational approximation, and the second is a piecewise-linear approach. Test circuits have been fabricated using a 3- mu m p-well CMOS process. The flexibility of the designed and tested circuits was confirme
A Programmable Neural Oscillator Cell
A programmable analog neural oscillator cell architecture is presented. The proposed neuron circuit is of hysteretic neural nature with its implementation based on operational transconductance amplifiers (OTA's). The hysteresis loop as well as the frequency of oscillation are voltage (or current) dependent. The architecture, which involves two OTA's, a current mirror, a capacitor, a diode, and a resistor is very suitable for monolithic integrated circuits. Experimental results confirm the expected flexibility of the synthetic neuron
Hysteresis based neural oscillators for VLSI implementations
The actual tendency in most of the
work that is being done in VLSI neural network
research is to use the simplest possible models
to perform the desired tasks. This yields to the
use of sigmoidal type neurons that have a static
input-output relationship. However, in some
cases, especially when the research is close to biological
neuron systems emulation, such simplifled
models are not always valid. In these cases,
a neuron model closer to biological neurons is
needed, namely the oscillatory neuron [l-41. For
these neurons, when they are active, their output
is a sequence of pulses. In this paper we
present several circuits that can be set in an active
state to yield an oscillatory output.
The difference between the circuits is based
on whether the output has two unique output
states (off, or on flring at a specific frequency),
or has a continuum between the on and off states
so t h a t the output frequency changes sigmoidally
between zero and its maximum
Frequency tuning loop for VCOs
A frequency tuning circuit is introduced for VCOs (voltage-controlled oscillators) so that the final relationship between oscillating frequency and input control voltage is fixed and independent of nonidealities. This tuning loop is applied to an OTA-C sinusoidal VCO. Such an oscillator has an output frequency-input voltage relationship that depends on temperature, process parameters, and even amplitude of the oscillations. It is shown that, by adding the tuning loop, nonideal dependences will be minimized
Very high frequency CMOS OTA-C quadrature oscillators
An approach to the design of high-frequency monolithic voltage-controlled oscillators using operational transconductance amplifiers and capacitors is given. Results from two 3 μm CMOS prototypes are presented. Both frequency and amplitude of the oscillations can be tuned by means of control voltages. Programmable oscillator frequencies up to 56.1 MHz are obtained, and the amplitudes are adjustable between 1 V peak-to-peak and 100 mV peak-to-peak. Total harmonic distortions from 2.8% down to 0.2% were experimentally measured
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