Results 91 to 100 of about 215,411 (303)

Reservoir‐Driven Neuromorphic Computing Based on Composite Rare‐Earth/Transition Metal Oxide Memristor

Advanced Functional Materials, EarlyView.
A defect‐engineered Ag/Gd2O3:Nb2O5/Pt rare earth composite oxide memristor enables stable multilevel reservoir states through pulse driven conductance modulation. Experimentally measured device responses are incorporated into a device aware reservoir computing framework for CIFAR‐100 image classification, highlighting the potential of rare earth ...
Hammad Ghazanfar, Haider Abbas, Muhammad Rabeel, Honggyun Kim, Ghulam Dastgeer, Muhammad Nasim, Furqan Zahoor, Yawar Abbas, Waqas Ahmad, Deok‐kee Kim   +9 more
wiley   +1 more source

Monolithic Integration of an FP-SA Optical Spiking Neuron and SOA Synapse by Photonic Crystals

Photonics
We demonstrate a monolithically integrated photonic chip that combines an optical spiking neuron with a tunable synaptic element. The spiking neuron is realized using a quantum-well Fabry–Perot laser integrated with a saturable absorber (FP-SA), while a ...
Haodong Xuan, Guangliang Sun, Yang Chen, Ningning Chen, Zeyu Wang, Hailing Wang, Wanhua Zheng   +6 more
doaj   +1 more source

An Epigenetic Fate Converter Based on Nuclei‐Targeting Lipid Nanoparticles Drives Neuronal Programming of Stem Cells for Spinal Cord Repair

Advanced Functional Materials, EarlyView.
Schematic illustration of LNP‐MPG nuclei‐targeting delivery of HMW‐FGF2 promoting histone acetylation to regulate the fate of DPSCs and treat spinal cord injury. LNPs components include pHMW‐FGF2 plasmid, DSPC, Dlin‐MC3‐DMA, cholesterol, and PEG2000, and are modified with MPG to form HMW‐FGF2@LNP‐MPG (HLM). HLM nuclei‐targets DPSCs to deliver HMW‐FGF2,
Heng Zhou, Qiang Qin, Xiqin Li, Hanyu Ding, Chun Xu, Yan He, Qingsong Ye   +6 more
wiley   +1 more source

Firing proprieties of an adaptive analog VLSI neuron [PDF]

, 2004
Ben Dayan Rubin D, Chicca E, Indiveri G. Firing proprieties of an adaptive analog VLSI neuron. Presented at the Proceedings of Bio-ADIT, Lausanne, Switzerland.We describe the response properties of a compact, low power, analog circuit that implements a ...
Ben Dayan Rubin, D., Indiveri, G., Chicca, Elisabetta ; https://orcid.org/   +2 more
core  

Architecture‐Driven Functional Coupling in Vertically Aligned Nanocomposites

Advanced Functional Materials, EarlyView.
Vertically aligned nanocomposites define a growth‐engineered architecture in which vertical interfaces, strain fields, defect pathways, and phase connectivity are created simultaneously. This review shows how these architectural features couple ferroic, optical, ionic, electrochemical, and device responses, establishing design rules and open challenges
Md Shatil Islam‐Shanto, Javier Zamudio‐García, Abraham Sánchez‐Caballero, David Marrero‐López, Vincenzo Esposito   +4 more
wiley   +1 more source

Spiking-UNet: Spiking Neural Networks for Spectrum Occupancy Monitoring

, 2023
With the exponential growth of the Internet of Things (IoT) landscape and the resulting spectrum congestion, innovative techniques for spectrum monitoring are crucial.
Akram Al-Hourani (12877233), Kosta Dakic (14858707), Bassel Al Homssi (12877226)   +2 more
core   +1 more source

A memristive spiking neuron with firing rate coding

Frontiers in Neuroscience, 2015
Perception, decisions, and sensations are all encoded into trains of action potentials in the brain. The relation between stimulus strength and all-or-nothing spiking of neurons is widely believed to be the basis of this coding.
Marina eIgnatov, Martin eZiegler, Mirko eHansen, Adrian ePetraru, Hermann eKohlstedt   +4 more
doaj   +1 more source

Covalent Functionalization of 2D Semiconductors: A Roadmap to Advanced Electronic Devices

Advanced Functional Materials, EarlyView.
This Review presents recent advances in the covalent functionalization strategies for two‐dimensional semiconductors and their implementation in modern technologies. Layered materials are modified through diverse molecular chemistries (e.g., thiols, diazonium salts, alkyl halides, and electron‐deficient species) to tailor their surface properties ...
Ramiro Quirós‐Ovies, Bin Han, Paolo Samorì   +2 more
wiley   +1 more source

Spiking Neurons and the First Passage Problem

Neural Computation, 2011
We derive a model of a neuron’s interspike interval probability density through analysis of the first passage problem. The fit of our expression to retinal ganglion cell laboratory data extracts three physiologically relevant parameters, with which our model yields input-output features that conform to laboratory results. Preliminary analysis suggests
Sirovich, Lawrence, Knight, Bruce
openaire   +4 more sources

Self-Testing Analog Spiking Neuron Circuit [PDF]

, 2019
International audienceHardware-implemented neural networks are foreseen to play an increasing role in numerous applications. In this paper, we address the problem of post-manufacturing test and self-test of hardware-implemented neural networks.
Sarah A. El-Sayed, Bernabe Linares-Barranco, Stratigopoulos, Haralampos-G., Haralampos-G. Stratigopoulos, Luis A. Camunas-Mesa, Ali El-Sayed, Sarah, Linares Barranco, Bernabé, El-Sayed, Sarah A., Stratigopoulos, Haralampos G., Linares-Barranco, Bernabe, Camuñas Mesa, Luis Alejandro, Camuñas-Mesa, Luis,   +11 more
core   +1 more source