Results 11 to 20 of about 84,713 (260)
Filamentary Switching: Synaptic Plasticity through Device Volatility [PDF]
Replicating the computational functionalities and performances of the brain remains one of the biggest challenges for the future of information and communication technologies.
Alibart, Fabien +2 more
core +6 more sources
Emulating long-term synaptic dynamics with memristive devices [PDF]
The potential of memristive devices is often seeing in implementing neuromorphic architectures for achieving brain-like computation. However, the designing procedures do not allow for extended manipulation of the material, unlike CMOS technology, the ...
Berdan, Radu +5 more
core +11 more sources
Brain-inspired ferroelectric Si nanowire synaptic device [PDF]
We herein demonstrate a brain-inspired synaptic device using a poly(vinylidene fluoride) and trifluoroethylene (PVDF-TrFE)/silicon nanowire (Si NW) based ferroelectric field effect transistor (FeFET). The PVDF-TrFE/Si NW FeFET structure achieves reliable
M. Lee +8 more
doaj +2 more sources
ReS2 Charge Trapping Synaptic Device for Face Recognition Application. [PDF]
AbstractSynaptic devices are necessary to meet the growing demand for the smarter and more efficient system. In this work, the anisotropic rhenium disulfide (ReS2) is used as a channel material to construct a synaptic device and successfully emulate the long-term potentiation/depression behavior.
Fan ZH +6 more
europepmc +5 more sources
Magnetic skyrmion-based synaptic devices [PDF]
Magnetic skyrmions are promising candidates for next-generation information carriers, owing to their small size, topological stability, and ultralow depinning current density. A wide variety of skyrmionic device concepts and prototypes have been proposed, highlighting their potential applications. Here, we report on a bioinspired skyrmionic device with
Yangqi Huang +4 more
openaire +3 more sources
Recent progress on optoelectronic synaptic devices [PDF]
Neuromorphic (brain-like) computing has great potential to solve the von Neumann bottleneck due to its self-adaptive learning, high-parallel computing capability, and low-power consumption. Realization of neuromorphic computing depends on the development of synaptic devices that mimic biological synapses.
Xiaodong PI +3 more
openaire +1 more source
Manufacturing of graphene based synaptic devices for optoelectronic applications
Neuromorphic computing systems can perform memory and computing tasks in parallel on artificial synaptic devices through simulating synaptic functions, which is promising for breaking the conventional von Neumann bottlenecks at hardware level. Artificial
Kui Zhou +10 more
doaj +1 more source
Novel synaptic memory device for neuromorphic computing [PDF]
This report discusses the electrical characteristics of two-terminal synaptic memory devices capable of demonstrating an analog change in conductance in response to the varying amplitude and pulse-width of the applied signal. The devices are based on Mn doped HfO₂ material.
MANDAL, S +4 more
openaire +3 more sources
Recently, three‐terminal synaptic devices, which separate read and write terminals, have attracted significant attention because they enable nondestructive read‐out and parallel‐access for updating synaptic weights.
Seyong Oh +6 more
doaj +1 more source
Core-Shell Dual-Gate Nanowire Memory as a Synaptic Device for Neuromorphic Application
In this work, a synaptic device for neuromorphic system is proposed and designed to emulate the biological behaviors in the novel device structure of core-shell dual-gate (CSDG) nanowire flash memory.
Md. Hasan Raza Ansari +3 more
doaj +1 more source

