AIMC Topic: Transistors, Electronic

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Analysis and Simulation of Capacitor-Less ReRAM-Based Stochastic Neurons for the in-Memory Spiking Neural Network.

IEEE transactions on biomedical circuits and systems Jul 16, 2018
The stochastic neuron is a key for event-based probabilistic neural networks. We propose a stochastic neuron using a metal-oxide resistive random-access memory (ReRAM). The ReRAM's conducting filament with built-in stochasticity is used to mimic the ...
Memory Poisson Distribution Transistors, Electronic Neural Networks, Computer Models, Neurological
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Aligned Carbon Nanotube Synaptic Transistors for Large-Scale Neuromorphic Computing.

ACS nano Jun 29, 2018
This paper presents aligned carbon nanotube (CNT) synaptic transistors for large-scale neuromorphic computing systems. The synaptic behavior of these devices is achieved via charge-trapping effects, commonly observed in carbon-based nanoelectronics. ...
Nanotubes, Carbon Transistors, Electronic Surface Properties Particle Size Nanotechnology Neural Networks, Computer
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Ultrasensitive flexible FET-type aptasensor for CA 125 cancer marker detection based on carboxylated multiwalled carbon nanotubes immobilized onto reduced graphene oxide film.

Analytica chimica acta Nov 10, 2017
The development of a novel flexible and ultrasensitive aptasensor based on carboxylated multiwalled carbon nanotubes (MWCNTs)/ reduced graphene oxide-based field effect transistor (FET) has been reported for label-free detection of the ovarian cancer...
CA-125 Antigen Nanotubes, Carbon Transistors, Electronic Biosensing Techniques Ovarian Neoplasms Oxides Graphite Oxidation-Reduction Biomarkers, Tumor Aptamers, Nucleotide Humans Female
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Master-slave exponential synchronization of delayed complex-valued memristor-based neural networks via impulsive control.

Neural networks : the official journal of the International Neural Network Society May 25, 2017
This paper investigates master-slave exponential synchronization for a class of complex-valued memristor-based neural networks with time-varying delays via discontinuous impulsive control. Firstly, the master and slave complex-valued memristor-based ...
Transistors, Electronic Neural Networks, Computer Nonlinear Dynamics
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Memristor standard cellular neural networks computing in the flux-charge domain.

Neural networks : the official journal of the International Neural Network Society May 24, 2017
The paper introduces a class of memristor neural networks (NNs) that are characterized by the following salient features. (a) The processing of signals takes place in the flux-charge domain and is based on the time evolution of memristor charges. The...
Neural Networks, Computer Image Processing, Computer-Assisted Transistors, Electronic
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Convergence and Multistability of Nonsymmetric Cellular Neural Networks With Memristors.

IEEE transactions on cybernetics Jul 19, 2016
Recent work has considered a class of cellular neural networks (CNNs) where each cell contains an ideal capacitor and an ideal flux-controlled memristor. One main feature is that during the analog computation the memristor is assumed to be a dynamic ...
Transistors, Electronic Cybernetics Image Processing, Computer-Assisted Nanotechnology Neural Networks, Computer
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Organic core-sheath nanowire artificial synapses with femtojoule energy consumption.

Science advances Jun 17, 2016
Emulation of biological synapses is an important step toward construction of large-scale brain-inspired electronics. Despite remarkable progress in emulating synaptic functions, current synaptic devices still consume energy that is orders of magnitud...
Nanotechnology Transistors, Electronic Electrical Synapses Nanowires Models, Neurological Electronics Neural Networks, Computer Neuronal Plasticity
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An Artificial Olfactory System Based on Synaptic Transistors for Precepting Hazardous Gas to Simulate Organ Injury.

ACS sensors May 23, 2025
Recent advances in artificial olfactory systems have attracted significant attention for their potential applications in humanoid robots and intelligent nasal devices capable of identifying objects and sensing hazards; however, the memory function is...
Humans Support Vector Machine Transistors, Electronic Smell Gases Formaldehyde Zinc Oxide
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Training and operation of an integrated neuromorphic network based on metal-oxide memristors.

Nature May 7, 2015
Despite much progress in semiconductor integrated circuit technology, the extreme complexity of the human cerebral cortex, with its approximately 10(14) synapses, makes the hardware implementation of neuromorphic networks with a comparable number of ...
Humans Neural Networks, Computer Metals Models, Neurological Algorithms Nanotechnology Biomimetics Transistors, Electronic Engineering Synapses Semiconductors Electronics Oxides Equipment Design
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Synchronization, non-linear dynamics and low-frequency fluctuations: analogy between spontaneous brain activity and networked single-transistor chaotic oscillators.

Chaos (Woodbury, N.Y.) Mar 1, 2015
In this paper, the topographical relationship between functional connectivity (intended as inter-regional synchronization), spectral and non-linear dynamical properties across cortical areas of the healthy human brain is considered. Based upon functi...
Nerve Net Cortical Synchronization Nonlinear Dynamics Transistors, Electronic Humans Animals Models, Neurological Biomimetics Neural Networks, Computer Computer Simulation
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