768 Result(s)
within
Electronics and Microelectronics, Instrumentation
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Chapter
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Chapter
Correction to: Unity Gain Cells
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Chapter and Conference Paper
Correction to: Machine Learning Approach to Lung Cancer Survivability Analysis
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Chapter
Integration of Memristive Devices into a 130 nm CMOS Baseline Technology
The two main features of the memristive devices which makes them the promising candidates for neuromorphic applications are low power consumption and CMOS compatibility. The monolithic integration of memristiv...
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Chapter and Conference Paper
Correction to: Switching Impulse Characteristics for Air Gap of Valve Hall at 2500 m Above Sea Level in ± 800 kV Ultra High Voltage DC Transmission System
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Chapter and Conference Paper
Correction to: Development of Contact Resistance Measurement Device for GIS Main Circuit Contacts
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Chapter and Conference Paper
Correction to: The Proceedings of the 18th Annual Conference of China Electrotechnical Society
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Chapter
Modeling and Simulation of Silver-Based Filamentary Memristive Devices
Memristive devices based on filamentary switching are investigated by 3D kinetic Monte Carlo simulations. The electrochemical metallization device under consideration consists of a stack of Ag/TiO
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Chapter
Pattern Recognition in the Box Jellyfish Rhopalial Nervous System Mimicked by an Ensemble of Pulsed Coupled Oscillators
The rapidly expanding field of biomimetics emulates biological principles, distilled through evolutionary time, to solve problems in technology, medicine and material science. Information processing in neurona...
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A Wave Digital Approach Towards Bio-inspired Computing Using Memristive Networks
Bio-inspired computing is a promising approach to tackle problems that are too complex for state-of-the-art computing approaches. It is a highly interdisciplinary field of research as it requires expertise, wh...
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Synchronization Phenomena in Oscillator Networks: From Kuramoto and Chua to Chemical Oscillators
This chapter addresses the problems of synchronization analysis in various types of oscillator networks. In particular, we derive sufficient conditions for emergence of multi-cluster formations in Kuramoto net...
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Chapter
Matter and Mind Matter
As a result of a hundred million years of evolution, living animals have adapted extremely well to their ecological niche. Such adaptation implies species-specific interactions with their immediate environment...
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Chapter
Redox-Based Bi-Layer Metal Oxide Memristive Devices
In a memristor or a so-called memristive device, the resistance state depends on the previous charge flow through the device. The new resistance state is stored and classifies a memristor as a non-volatile mem...
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Chapter
Smart Sensor Arrays
Sensors play a crucial role in our everyday life and will become more and more demanded with the transition towards smart cities and the “Internet of Things” with the result of an ever-increasing energy demand...
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Chapter
Critical Discussion of Ex situ and In situ TEM Measurements on Memristive Devices
Memristors are promising candidates for new memory technologies and are capable to mimic synapses in artificial neural networks. The switching in memristive devices occurs typically in few nanometer thin diele...
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A Bio-inspired Perceptual Decision-Making Circuit Based on the Hassenstein-Reichardt Direction Detector
Decision-making belongs to one of the most prominent principles in the nerve system of living species. The crucial trade-off between time to decide (speed) and accuracy is essential for a creature to react to ...
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Biologically Inspired and Energy-Efficient Neurons
Silicon neurons represent different levels of biological details and accuracies as a trade-off between complexity and power consumption. With respect to this trade-off and high similarity to neuron behaviour m...
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Memristive Switching: From Individual Nanoparticles Towards Complex Nanoparticle Networks
Novel hardware concepts in the framework of neuromorphic engineering are intended to overcome fundamental limits of current computer technologies and to be capable of efficient mass data processing. To reach t...
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Emulation of Learning Behavior in the Hippocampus: From Memristive Learning to Behavioral Tests
Neuromorphic engineering is concerned with the emulation of biological learning and memory processes in hardware. The use of memristive devices, i.e., non-volatile memory devices, has given this field a signif...
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Chapter
Neuromorphic Circuits with Redox-Based Memristive Devices
This chapter addresses opportunities for memristive devices in the framework of neuromorphic computing. Memristive devices are two-terminal circuit elements, comprising resistance and memory functionality. Thi...
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Chapter
Photocatalytic Deposition for Metal Line Formation
In neural systems, plasticity can be found throughout a variety of scales, ranging from local synaptic plasticity between two neurons towards long-range connections and global plasticity within larger neuron a...
