Results 91 to 100 of about 1,569,274 (243)
With the rapid advancement of information technology and artificial intelligence, the energy efficiency bottleneck of the von Neumann architecture and the scaling limits of silicon‐based semiconductors are increasingly constraining improvements in ...
Xiaona Sun +3 more
doaj +1 more source
Graphene-Based Artificial Synapses with Tunable Plasticity
Design and implementation of artificial neuromorphic systems able to provide brain akin computation and/or bio-compatible interfacing ability are crucial for understanding the human brain's complex functionality and unleashing brain-inspired computation ...
Jiang, Y. (author) +3 more
core +1 more source
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj +8 more
wiley +1 more source
Skyrmion-based artificial synapses for neuromorphic computing
Magnetic skyrmions are topologically protected spin textures that have nanoscale dimensions and can be manipulated by an electric current. These properties make the structures potential information carriers in data storage, processing and transmission ...
Woo, Seonghoon (author) +15 more
core +1 more source
Path‐decoupled III–V van der Waals memtransistors spatially separate ionic and electronic transport to overcome the conventional trade‐off between accuracy and energy in neuromorphic hardware. Mobile K+ ions in the vdW gaps set a wide conductance window, Gmax/Gmin, while gate‐tunable hole conduction lowers programming energy, enabling reliable ...
Jihong Bae +13 more
wiley +1 more source
Neuromorphic devices that emulate biological neural systems have been actively studied to overcome the limitations of conventional von Neumann computing structure.
Ui-Chan Jeong +3 more
doaj +1 more source
Aberrant location of inhibitory synaptic marker proteins in the hippocampus of dystrophin-deficient mice [PDF]
Duchenne muscular dystrophy (DMD) is a neuromuscular disease that arises from mutations in the dystrophin-encoding gene. Apart from muscle pathology, cognitive impairment, primarily of developmental origin, is also a significant component of the disorder.
Zablocki, Krzysztof +11 more
core +2 more sources
This work introduces sustainable PLA/graphene oxide bioelectronic interfaces featuring electrodes with tunable conductivity and strong electrocatalytic performance. These platforms were used to implement a new method for tuning astrocyte Ca2+ signaling and for the efficient detection of key biomarkers.
Alessandra Scidà +15 more
wiley +1 more source
All‐Ferroelectric Spiking Neural Networks via Morphotropic Phase Boundary Neurons
Artificial neurons and synapses are crucial for efficiently implementing spiking neural networks (SNNs) in hardware. The distinct functional requirements of artificial neurons and synapses present significant challenges in the implementation of area‐ and
Jangsaeng Kim +7 more
doaj +1 more source
Two‐dimensional Ag11 and Ag12 cluster‐assembled materials (CAMs) are synthesized, offering atomically precise platforms with tunable electronic properties. The resulting materials exhibit robust memristive switching and neuromorphic response, demonstrating their promise for advanced nanoelectronic and memory applications.
Noohul Alam +7 more
wiley +1 more source

