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Cu2+ cation-exchange in ZnxCd1-xS thin films for neuromorphic devices
(2021-01-30)
Neuromorphic devices are promising for more efficient informatics systems, containing electronic analog circuits capable of simulating brain synaptic cells to mimic neuro-biological architectures present in the nervous ...
Towards memristive crossbar-based neuromorphic HW accelerators for signal processing
(IEEE, 2017)
Research progress in neuromorphic hardware, capable of biological perception and cognitive information processing, is leading the way towards a revolution in computing technology. Current research efforts have focused ...
On the application of a diffusive memristor compact model to neuromorphic circuits
(Multidisciplinary Digital Publishing Institute, 2019-07-13)
Memristive devices have found application in both random access memory and neuromorphic circuits. In particular, it is known that their behavior resembles that of neuronal synapses. However, it is not simple to come by ...
A Synaptic Electrochemical Memristor Based on the Cu2+/Zn2+Cation Exchange in Zn:CdS Thin Films
(2018-09-14)
Neuromorphic hardware systems that simulate functions of biological brain synapses have been widely investigated due to their possible application in brain-inspired computing. We hereby report on a novel electrochemical ...
Large memcapacitance and memristance at Nb:SrTiO3/La0.5Sr0.5Mn0.5Co0.5O3-δ topotactic redox interface
(American Institute of Physics, 2020-02)
The possibility to develop neuromorphic computing devices able to mimic the extraordinary data processing capabilities of biological systems spurs the research on memristive systems. Memristors with additional functionalities ...
Reservoir computing meets smart grids: attack detection using delayed feedback networks
(IEEE-INST Electrical Electronics Engineers INC, 2018)
A new method for attack detection of smart grids with wind power generators using reservoir computing (RC) is introduced in this paper. RC is an energy-efficient computing paradigm within the field of neuromorphic computing ...
Key Role of Oxygen-Vacancy Electromigration in the Memristive Response of Ferroelectric Devices
(American Physical Society, 2020-10)
Ferroelectric memristors are intensively studied due to their potential implementation in data storage and processing devices. In this work we show that the memristive behavior of metal-ferroelectric-oxide-metal devices ...
SPICE Simulation of RRAM-Based Cross-Point Arrays Using the Dynamic Memdiode Model
(Frontiers Media, 2021-09)
We thoroughly investigate the performance of the Dynamic Memdiode Model (DMM) when used for simulating the synaptic weights in large RRAM-based cross-point arrays (CPA) intended for neuromorphic computing. The DMM is in ...
Sistema semi-autônomo baseado em visão neuromórfica para controle de próteses mioelétricasSemi-autonomous system based on neuromorphic vision for control of myoelectric prostheses
(Universidade Federal de UberlândiaBrasilPrograma de Pós-graduação em Engenharia Biomédica, 2022)
Application of the quasi-static memdiode model in cross-point arrays for large dataset pattern recognition
(Institute of Electrical and Electronics Engineers, 2019-11)
We investigate the use and performance of the quasi-static memdiode model (QMM) when incorporated into large cross-point arrays intended for pattern classification tasks. Following Chua's memristive devices theory, the QMM ...