Results 81 to 90 of about 79,718 (282)
The chronotron: a neuron that learns to fire temporally-precise spike patterns [PDF]
, 2010 In many cases, neurons process information carried by the precise timing of spikes. Here we show how neurons can learn to generate specific temporally-precise output spikes in response to input spike patterns, thus processing and memorizing information ...
Ră
core +1 more source
An On-chip Trainable and Clock-less Spiking Neural Network with 1R Memristive Synapses
, 2017 Spiking neural networks (SNNs) are being explored in an attempt to mimic brain's capability to learn and recognize at low power. Crossbar architecture with highly scalable Resistive RAM or RRAM array serving as synaptic weights and neuronal drivers in ...
Ganguly, Udayan, Shukla, Aditya
core +1 more source
Artificial synapse network demonstrates plasticity behaviors
Scilight, 2022 Connected gold nanogap artificial synapses were able to perform synaptic functions for the first time.
openaire +1 more source
Advanced Functional Materials, EarlyView.Ultrathin 2D indium oxide memtransistors are reproducibly fabricated via a scalable liquid‐metal‐printing process under ambient, low‐temperature conditions. The devices achieve robust, gate‐tunable bipolar memristive switching with high switching ratios at a BEOL‐compatible maximum processing temperature of 300°C. Governed by trap‐controlled transport,
Sanghyun Moon +6 more
wiley +1 more source
Editorial: Advances in thrombin generation
Frontiers in Cardiovascular Medicine, 2023 Romy de Laat-Kremers +3 more
doaj +1 more source
An Architecture-Altering and Training Methodology for Neural Logic Networks: Application in the Banking Sector [PDF]
, 2005 Artificial neural networks have been universally acknowledged for their ability on constructing forecasting and classifying systems. Among their desirable features, it has always been the interpretation of their structure, aiming to provide further ...
Dounias, Georgios, Tsakonas, Athanasios
core
Bio‐Inspired Multimodal Hardware Front‐End Enabled by 2D Floating‐Gate Memory for UAV Perception
Advanced Functional Materials, EarlyView.A MoS2/h‐BN /graphene floating‐gate memory underpins a bio‐inspired multimodal front end that integrates visual, inertial, and airflow cues. A 4 × 4 FG memory array encodes temporal intensity differences, while IMU‐ and airflow‐driven threshold modulation suppresses self‐motion artifacts, enabling fast, low‐power, robust autonomous UAV tracking and ...
Lianghao Guo +11 more
wiley +1 more source
Multi‐Scale Interface Engineering of MXenes for Multifunctional Sensory Systems
Advanced Functional Materials, EarlyView.MXenes, as two‐dimensional transition metal carbides and nitrides, demonstrate remarkable capabilities for multifunctional sensing applications. This review systematically examines multi‐scale interface engineering approaches that enhance sensing performance, enable diverse detection functionalities, and improve system‐level compatibility in MXene ...
Jiaying Liao, Sin‐Yi Pang, Jianhua Hao
wiley +1 more source
Memory and information processing in neuromorphic systems
, 2015 A striking difference between brain-inspired neuromorphic processors and current von Neumann processors architectures is the way in which memory and processing is organized.
Indiveri, Giacomo, Liu, Shih-Chii
core +1 more source
Advanced Functional Materials, EarlyView.Optoelectronic control of redox‐active polyoxometalate clusters in polymer matrices yields hybrid memristors with switchable volatile and non‐volatile modes, enabling reservoir‐type in‐sensor optical preprocessing and stable multilevel synapses for multimodal neuromorphic computing, including noise‐tolerant audiovisual keyword recognition and hardware ...
Xiangyu Ma +13 more
wiley +1 more source