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Mostrando ítems 11-15 de 15
Artículo
How Frequency Injection Locking Can Train Oscillatory Neural Networks to Compute in Phase
(IEEE, 2022)
Brain-inspired computing employs devices and architectures that emulate biological functions for more adaptive and energy-efficient systems. Oscillatory neural networks (ONNs) are an alternative approach in emulating ...
Tesis Doctoral
Memristor Based Event Driven Neuromorphic Nano-CMOS Processor
(2021-02-19)
‘Neuromorphic engineering’ has been showing significant developments in recent days. The word ‘neuromorphic’ was first coined by Caver Mead, which is morphing biological brain on-chip [1]. The main idea is to use the ...
Artículo
Digital Implementation of Oscillatory Neural Network for Image Recognition Applications
(Frontiers Media, 2021)
Computing paradigm based on von Neuman architectures cannot keep up with the ever-increasing data growth (also called “data deluge gap”). This has resulted in investigating novel computing paradigms and design approaches ...
Artículo
A CMOL-Like Memristor-CMOS Neuromorphic Chip-Core Demonstrating Stochastic Binary STDP
(Institute of Electrical and Electronics Engineers Inc., 2022-12)
The advent of nanoscale memristors raised hopes of being able to build CMOL (CMOS/nanowire/molecular) type ultra-dense in-memory-computing circuit architectures. In CMOL, nanoscale memristors would be fabricated at the ...
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 ...