Results 11 to 20 of about 1,601,752 (292)
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 +4 more sources
In this study, the resistive switching phenomenon and synaptic mimicry characteristics of an indium tin oxide (ITO)/indium zinc oxide (IZO)/Al2O3/TaN device are characterized.
Hyogeun Park +5 more
doaj +2 more sources
Optoelectronic Synaptic Devices for Neuromorphic Computing [PDF]
Neuromorphic computing can potentially solve the von Neumann bottleneck of current mainstream computing because it excels at self‐adaptive learning and highly parallel computing and consumes much less energy. Synaptic devices that mimic biological synapses are critical building blocks for neuromorphic computing.
Yue Wang 0061 +7 more
openaire +3 more sources
PEDOT:PSS Wire: A Two-Terminal Synaptic Device for Operation in Electrolyte and Saline Solutions. [PDF]
Watanabe S., Shibakita H., Hagiwara N., et al. PEDOT:PSS Wire: A Two-Terminal Synaptic Device for Operation in Electrolyte and Saline Solutions. ACS Applied Materials and Interfaces 16, 54636 (2024); https://doi.org/10.1021/acsami.4c12037 .Synaptic ...
Watanabe S +5 more
europepmc +3 more sources
Magnetic skyrmion-based synaptic devices [PDF]
Abstract 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 recently been proposed, highlighting their potential applications.
Yangqi Huang +4 more
openaire +4 more sources
With an increasing demand for artificial intelligence, the emulation of the human brain in neuromorphic computing has led to an extraordinary result in not only simulating synaptic dynamics but also reducing complex circuitry systems and algorithms.
Muhammad Naqi +8 more
doaj +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
Synaptic metaplasticity with multi-level memristive devices
Deep learning has made remarkable progress in various tasks, surpassing human performance in some cases. However, one drawback of neural networks is catastrophic forgetting, where a network trained on one task forgets the solution when learning a new one.
D’Agostino, S +7 more
openaire +5 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

