Results 141 to 150 of about 14,306 (300)

Low-voltage-driven memristor framework for efficient neuromorphic computation with STDP functionality

open access: yesFrontiers in Nanotechnology
In this work, a low-voltage-driven theoretical memristor framework is presented with its in-depth parametric evaluation and its neuromorphic computing functionalities, including spike-time dependent plasticity (STDP) via Hebbian learning rules.
Aarti Dahiya   +3 more
doaj   +1 more source

Synchronization conditions in simple memristor neural networks

open access: yes, 2015
This paper aims to provide some insight into the mechanisms underlying the emergence of synchronization between two memristor-coupled Hindmarsh-Rose oscillatory neural cells.
Corinto, Fernando   +3 more
core   +1 more source

Organic Electrochemical Transistors for Neuromorphic Bioelectronics: Materials and Manufacturing Technologies

open access: yesAdvanced Science, EarlyView.
Organic electrochemical transistors bridge biological ionic signaling and neuromorphic computation through volumetric electrochemical gating. This review connects Organic mixed ionic–electronic conductor materials, device architectures, and manufacturing technologies to show how geometry, ion transport, and fabrication strategies program plasticity ...
Hyunjin Lee   +5 more
wiley   +1 more source

Application of artificial synapse based on all-inorganic perovskite memristor in neuromorphic computing

open access: yesNano Materials Science
Artificial synapse inspired by the biological brain has great potential in the field of neuromorphic computing and artificial intelligence. The memristor is an ideal artificial synaptic device with fast operation and good tolerance.
Fang Luo   +5 more
doaj   +1 more source

Intrinsic Superprotonic Conduction in Metal‐Free Hydrogen‐Bonded Organic–Inorganic Frameworks

open access: yesAdvanced Science, EarlyView.
A simple hybridization strategy yields a suite of metal‐free hydrogen‐bonded organic‐inorganic frameworks (HOIFs) with dense, uninterrupted hydrogen‐bonded networks that possess intrinsically high superprotonic conductivity, establishing a versatile and scalable platform for high‐performance solid‐state proton conductors.
Jin Chen   +14 more
wiley   +1 more source

Memristor-based reconfigurable true time delay circuit [PDF]

open access: yes
A memristor-controlled CMOS reconfigurable true time delay circuit is introduced in this paper. The delay circuit includesthree stages of g m- C all-pass filter delay elements connected in cascade and memristor-based tunable DC voltage sources ...
Yang, Fan   +4 more
core   +1 more source

Ultralow‐Energy Analog Reservoir Computing via Reconfigurable 2‐Transistor Memory

open access: yesAdvanced Science, EarlyView.
This work presents a reconfigurable reservoir‐computing platform based on an oxide InSnZnO two‐transistor cell in which a hold bias selects volatile relaxation for the reservoir or quasi‐non‐volatile multilevel storage for the readout. Multi‐level hold‐bias kernel tune relaxation currents to generate diverse time constants, enriching reservoir states ...
Jeong‐Min Park   +11 more
wiley   +1 more source

Dual Randomness From Spatial and Temporal Variations in Stochastic Zinc Gallate Nanoclusters for PUF and TRNG Co‐Driven Image Generation

open access: yesAdvanced Science, EarlyView.
A dual‐randomness hardware platform is demonstrated by integrating PUF and TRNG functionalities into mixed‐ZGO nanoclusters. By leveraging spatial and temporal stochasticity, the mixed‐ZGO NCs device enables both unique identification and random signal generation.
Seungme Kang   +6 more
wiley   +1 more source

Modeling and analogue implementation of memristor

open access: yes, 2011
This bachelor´s thesis deals with an analogue implementation of memristor. Memristor is the fourth foundamental passive element whose existence was predicted by Leon Chua in 1971.
Teska, Tomáš
core  

Hardware Acceleration of Stochastic Neural Networks Enabled by Bit‐Cell Level Co‐Design of Magnetic Tunnel Junctions

open access: yesAdvanced Science, EarlyView.
An MTJ‐based probabilistic processing‐in‐memory architecture unites nonvolatile storage, local entropy generation, and stochastic computation within each memory cell. Stored multi‐bit weights are converted directly into programmable stochastic bitstreams, enabling neural‐network inference, adaptive Ising optimization, and uncertainty‐aware Bayesian ...
Qiuyuan Wang   +6 more
wiley   +1 more source

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