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Modeling and Simulation of Single-Electron Transistor (SET) with Aluminum Island Using Neural Network
2019
Carpathian Journal of Electronic and Computer Engineering
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The simulation process is based on analytical transistor model and neural network transistor model. ...
Single Electron Transistor (SET) is the simplest device in which the effect of Coulomb blockade can be observed. ...
A Single Electron Transistor (SET) is a device whose operation based on single electron tunneling through a nanometric junction. ...
doi:10.2478/cjece-2019-0005
fatcat:5lvmxw4yovfejccmnah7buaj7u
Neural Circuitry Based on Single Electron Transistors and Single Electron Memories
2014
Sensors & Transducers
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in modeling and simulation results of neural memory based on SET. ...
In this paper, we propose and explain a neural circuitry based on single electron transistors 'SET' which can be used in classification and recognition. ...
Then, we simulate and model neural network based on SET device after presenting an electrical model of one neuron and the Transfer function of the SET inverter structure based neuron. ...
doaj:7cd98724a15846c58044d2ac79eb12b7
fatcat:c5lwfgfblfb7dieod43ks7ntyu
Compact Modeling of Single Electron Memory Based on Perceptron Designs
2015
Journal of Material Science & Engineering
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In this work, we present a Single electron random access memories based on perceptron designs used as the basic artificial bio-inspired neural processing element. ...
The main goal of this work is to build a multilayer neural network used in recognition and classification using single electron devices. ...
One of the most promising Single electronics and relatively well investigated concepts is the Single Electron Transistor "SET" technology, which was chosen because the operation of SET transistor is based ...
doi:10.4172/2169-0022.1000187
fatcat:wcwnqfwew5crlnozrvrcitq3fi
Demonstration of Synaptic Connections with Unipolar Junction Transistor based Neuron Emulators
2020
International Journal of Engineering
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Although there are a few UJT-based artificial neuron patents, we were unable to find research articles on UJT-based artificial neurons. ...
There are bipolar and MOSFET transistor-based neuron emulator circuits heavily used in literature. Opamp-based neuron emulators are also commonly used. ...
A single neuron may encode different sensory inputs, but neural systems mostly depend on the activity of an ensemble of neurons connected via synapses. ...
doi:10.5829/ije.2020.33.11b.10
fatcat:hj73iku4a5eevjexsrwc4exbya
Cointegration of single-transistor neurons and synapses by nanoscale CMOS fabrication for highly scalable neuromorphic hardware
2021
Science Advances
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The neurons and synapses were integrated on the same plane with the same process because they have the same structure of a metal-oxide semiconductor field-effect transistor with different functions such ...
Spatiotemporal neuronal functionalities are demonstrated with fabricated single-transistor neurons and synapses. ...
On the basis of the measured data, the LIF behavior of the single-transistor neuron was modeled with a simulation program with integrated circuit emphasis (SPICE) simulation using a threshold switch and ...
doi:10.1126/sciadv.abg8836
fatcat:lvuq7ctsdzbxdegzaksbfzk43u
Neural Network Based on SET Inverter Structures: Neuro-Inspired Memory
2014
World Journal of Nano Science and Engineering
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The full design and simulation results were done using MATLAB and SIMON, which are a single-electron tunnel device and circuit simulator based on a Monte Carlo method. ...
This paper presents a basic block for building large-scale single-electron neural networks. This macro block is completely composed of SET inverter circuits. ...
In the literature, many types of neural networks hardware based on single-electron transistor can be found. ...
doi:10.4236/wjnse.2014.44017
fatcat:g375wr7wgvfkbdqq5muuhi65au
Simple Analogue VLSI Circuit of a Cortical Neuron
2006
2006 13th IEEE International Conference on Electronics, Circuits and Systems
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It enables implementation of many neurons in a single silicon chip while exhibiting flexibility in obtaining different types of adaptive and oscillatory neuron behaviours, by simply adjusting the biasing ...
This paper presents a novel analogue VLSI circuitry that reproduces spiking and bursting firing patterns of cortical neurons, using only 14 MOSFETs. ...
The circuit implementations of oscillatory neuron models such as the FitzHugh-Nagumo neuron model [12] , the Morris-Lecar neuron model [13] , the Resonate-and-Fire neuron model based on the Volterra ...
doi:10.1109/icecs.2006.379731
dblp:conf/icecsys/WijekoonD06
fatcat:comxsjoshbdtlo37ea3qnc5hmi
Flexible Sensory Platform Based on an Electrolyte-Gated Oxide Neuron Transistor
[article]
2015
arXiv
pre-print
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Inspired by the dendritic integration and spiking operation of a biological neuron, flexible oxide-based neuron transistors gated by solid-state electrolyte films are fabricated on flexible plastic substrates ...
When a quasi-static dual-gate laterally synergic sensing mode is adopted, the neuron transistor sensor shows a high pH sensitivity of ~105 mV/pH, which is higher than the Nernst limit. ...
Figure 3 | 3 The pH sensitivity of the IZO-based neuron transistor measured in single G 1 sweeping mode. ...
arXiv:1505.04964v1
fatcat:2cpl3q4bjbghri2qcrehkevys4
VLSI Circuit Configuration Using Satisfiability Logic in Hopfield Network
2016
International Journal of Intelligent Systems and Applications
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Very large scale integration (VLSI) circuit comprises of integrated circuit (IC) with transistors in a single chip, widely used in many sophisticated electronic devices. ...
Hence, the performance o f our proposed technique evaluated based on global VLSI configuration, circuit accuracy and the runtime. ...
Figure 2 shows an example o f a single unit of a t ransistor in integrated circuit. Based on the figure 3, when the inputs A1=0V and A2 = 0V both the transistors Q1 and Q2 are at OFF state (-1). ...
doi:10.5815/ijisa.2016.09.03
fatcat:r2ameff5erbgzjfk6u6gxuet6m
Solving Overlapping Pattern Issues in On-Chip Learning of Bio-Inspired Neuromorphic System with Synaptic Transistors
2019
Electronics
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In this study, we study a hardware-based spiking neural network for pattern recognition using a binary modified National Institute of Standards and Technology (MNIST) dataset with a device model. ...
Previously, we reported a silicon synaptic transistor with an asymmetric dual-gate structure for the direct connection between synaptic devices and neuron circuits. ...
-G.P. conceived the device structure and modeling and wrote the manuscript.
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/electronics9010013
fatcat:l6whkcnavndzfnklmu7ynykuuy
Novel Neural Network application to nonlinear electronic devices: building a Volterra series model
2006
Inteligencia Artificial
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We propose a simple approach for the generation of the Volterra model for a device, even in the case of a nonlinearity that depends on more than one variable, which allows obtaining a general model, independent ...
In particular, we will show the results obtained for the analysis of a transistor and the generation of its analytical Volterra series model, built using a standard Neural Network model and its parameters ...
In Section 4, our proposed approach is explained, based on the use of a Neural Network model. ...
doi:10.4114/ia.v9i26.842
fatcat:qeazoi3vmnbglcrkwvotg3ddxy
Low power CMOS electronic central pattern generator design for a biomimetic underwater robot
2007
Neurocomputing
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The operation of a neuronal circuit formed of electronic neurons based on Hindmarsh-Rose neuron dynamics and first order chemical synapses ls modeled. ...
This paper, presents a feasability study of a central pattern generator-based analog controller for an autonomous robot. ...
CPGs can be constructed from electronic neurons based on non-linear dynamical models of biological neurons [5] . ...
doi:10.1016/j.neucom.2006.12.013
fatcat:xljixd5wpzgrtbj3gd7bwqxhjm
Transistor analogs of emergent iono‐neuronal dynamics
2008
HFSP Journal
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As a critical performance benchmark, the high-speed and highly interactive iono-neuronal simulation capability on-chip enabled our prompt discovery of a minimal model of chaotic pacemaker bursting, an ...
Neuromorphic analog metal-oxide-silicon "MOS... transistor circuits promise compact, low-power, and high-speed emulations of iono-neuronal dynamics orders-of-magnitude faster than digital simulation. ...
The aVLSI chips were fabricated with the support of the MOSIS Education Program. GR was a recipient of the U.S. ...
doi:10.2976/1.2905393
pmid:19404469
pmcid:PMC2645565
fatcat:ihcehnbyy5ffjdlhdf2sq5qtxq
Neuromorphic computing enabled by physics of electron spins: Prospects and perspectives
2018
Applied Physics Express
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Spintronics" refers to the understanding of the physics of electron spin-related phenomena. ...
can directly mimic the functionalities of the computational primitives in neuromorphic computation, i.e., the neurons and synapses. ...
, and Novel Architectures (C-SPIN), a MARCO and DARPA sponsored StarNet center, by the Semiconductor Research Corporation, the National Science Foundation, Intel Corporation, and by the US Department of ...
doi:10.7567/apex.11.030101
fatcat:43bf7rfirjahho7sx4gqcsvh5e
Structured computational polymers for safety, security, and rescue robotics
2011
2011 IEEE International Symposium on Safety, Security, and Rescue Robotics
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, and is based on a single-transistor-single-bistabledevice-per-input for an individual synthetic neuron design, that approximates the sigmoidal activation function. ...
In this paper we report on the progress made towards developing such a multifunctional active material that will be the basis of a soft robot -a robot, made of flexible materials, which can adjust to its ...
FABRICATION OF SNN FOR SCP Organic electronics is a branch of electronics that is based on semiconducting and conducting polymers and small molecules. ...
doi:10.1109/ssrr.2011.6106800
fatcat:aqsnxvd5qzhuxijiyznwqij7ia
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