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Mostrando ítems 21-26 de 26
Artículo
STDP and STDP Variations with Memristors for Spiking Neuromorphic Learning Systems
(2013)
In this paper we review several ways of realizing asynchronous Spike-Timing-DependentPlasticity (STDP) using memristors as synapses. Our focus is on how to use individual memristors to implement synaptic weight ...
Artículo
Neuromorphic Spiking Neural Networks and Their Memristor-CMOS Hardware Implementations
(MDPI, 2019)
Inspired by biology, neuromorphic systems have been trying to emulate the human brain for decades, taking advantage of its massive parallelism and sparse information coding. Recently, several large-scale hardware projects ...
Artículo
Event-Driven Stereo Visual Tracking Algorithm to Solve Object Occlusion
(IEEE Computer Society, 2018)
Object tracking is a major problem for many computer vision applications, but it continues to be computationally expensive. The use of bio-inspired neuromorphic event-driven dynamic vision sensors (DVSs) has heralded ...
Artículo
An Event-Driven Multi-Kernel Convolution Processor Module for Event-Driven Vision Sensors
(IEEE Computer Society, 2012)
Event-Driven vision sensing is a new way of sensing visual reality in a frame-free manner. This is, the vision sensor (camera) is not capturing a sequence of still frames, as in conventional video and computer vision ...
Artículo
Asynchronous Spiking Neurons, the Natural Key to Exploit Temporal Sparsity
(Institute of Electrical and Electronics Engineers (IEEE), 2019)
Inference of Deep Neural Networks for stream signal (Video/Audio) processing in edge devices is still challenging. Unlike the most state of the art inference engines which are efficient for static signals, our brain is ...
Artículo
A CMOS-memristor hybrid system for implementing stochastic binary spike timing-dependent plasticity
(Royal Society Publishing, 2022)
This paper describes a fully experimental hybrid system in which a 4 × 4 memristive crossbar spiking neural network (SNN) was assembled using custom high-resistance state memristors with analogue CMOS neurons fabricated ...