Results 101 to 110 of about 11,144 (308)
Research on the stability of memristive neural network based on MNIST
Dianzi Jishu Yingyong, 2019 The stability problem of memristor may affect the performance of memristive neural network. In order to explore it, a memristive back propagation(BP) neural network, in which the memristors are the synapses, is constructed based on the equivalent ...
Tian Ye +3 more
doaj +1 more source
Advances and Perspectives in Graphene‐Based Quantum Dots Enabled Neuromorphic Devices
Advanced Science, EarlyView.Graphene‐based QDs are zero‐dimensional carbon nanomaterials with pronounced quantum confinement and tunable electronic structures. Herein, we summarize their synthesis strategies and functionalization methods, and highlight their functional roles and operating mechanisms in devices, as well as recent advances in neuromorphic electronics. We anticipate
Yulin Zhen +9 more
wiley +1 more source
Desarrollo de modelos del memristor para aplicaciones en circuitos electrónicos
, 2018 In this dissertation, analytical models for the memristor have been developed. The resulting models can be coded in the hardware description language VERILOG-A to be incorporated into HSPICE input files (netlist), or encoded in the description language ...
Arvi Naranjo Calderón
core
Memristor logic design using driver circuitry [PDF]
, 2016 A new lower-power gate design for memristor-based Boolean operations. Such a design offers a uniform cell that is configurable to perform all Boolean operations, including the XOR operation.
Swartzlander, Earl E., Jr. +1 more
core +1 more source
Advanced Science, EarlyView.WS2‐based in‐memory sensing reservoir computing integrates sensing, memory, and computation in one compact device. It achieves ∼94% N‐MNIST, ∼93% eye motion perception, and ∼89% speech recognition with ultra‐low energy (∼25.5 fJ/spike). The system shows stability at 95% humidity, endurance over 1.5M cycles, and supports synaptic plasticity, enabling ...
Dayanand Kumar +9 more
wiley +1 more source
Advanced Science, EarlyView.A “de‐doping” strategy positions mixed protonic–electronic conductors (MPECs) as adaptive neuromorphic platforms with dynamically tunable transport. Co‐BAND achieves giant conductivity modulation (>106) and chemically tunable synaptic plasticity. Analogous to biological neuromodulation, solvent vapors dynamically reprogram the device's learning rules ...
Kwangmin Park +10 more
wiley +1 more source
Triple‐Mode Ferroelectric Thin‐Film Transistor for Hybrid Electrical–Optical Reservoir Computing
Advanced Science, EarlyView.A triple‐mode ferroelectric thin‐film transistor is developed by integrating Si3N4/HZO/IGZO layers to realize three independent memory modes: electric long‐term, electric short‐term, and optical short‐term. This single‐device architecture functions as both a reservoir and readout layer, achieving 92.43% MNIST accuracy. It offers a fully hardware‐based,
Hyeonho Lee +9 more
wiley +1 more source
On the fractional domain generalization of memristive parametric oscillators
Cogent Engineering, 2019 In this research, we generalize a family of electronic parametric oscillators in the fractional domain by using a state of the art circuit element namely fractional memristor. Such family of parametric oscillators is the memristor based Wien family which
Rawid Banchuin
doaj +1 more source
Advanced Science, EarlyView.Bi2O2Se/Bi2O5Se bilayer heterostructure exhibits reversible structural evolution during device operation, directly revealed by atomic‐scale investigation. Oxygen vacancy redistribution governs filament formation and rupture, enabling stable multilevel resistive switching and synaptic‐like behaviors.
Yen‐Jung Chen +8 more
wiley +1 more source
Advanced Science, EarlyView.Tunable dynamics of an interface‐type memristor array enabled by dual‐ion modulation through Ag nanoclusters are demonstrated. A 32 × 32 one‐resistor (1R) array exhibits 100% yield with high temporal/spatial uniformity (<3%) and a rectification ratio of 105.
Yoonho Cho +7 more
wiley +1 more source