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Mostrando ítems 1-7 de 7
Ponencia
Neuron fault tolerance in spiking neural networks
(Institute of Electrical and Electronics Engineers. IEEE, 2021)
The error-resiliency of Artificial Intelligence (AI) hardware accelerators is a major concern, especially when they are deployed in mission-critical and safety-critical applications. In this paper, we propose a neuron ...
Ponencia
Implementation of binary stochastic STDP learning using chalcogenide-based memristive devices
(IEEE, 2021-04)
The emergence of nano-scale memristive devices encouraged many different research areas to exploit their use in multiple applications. One of the proposed applications was to implement synaptic connections in bio-inspired ...
Artículo
Oscillatory Neural Networks Using VO2 Based Phase Encoded Logic
(Frontiers Media, 2021)
Nano-oscillators based on phase-transition materials are being explored for the implementation of different non-conventional computing paradigms. In particular, vanadium dioxide (VO2) devices are used to design autonomous ...
Artículo
Neuromorphic Low-Power Inference on Memristive Crossbars With On-Chip Offset Calibration
(IEEE, 2021-03)
Monolithic integration of silicon with nano-sized Redox-based resistive Random-Access Memory (ReRAM) devices opened the door to the creation of dense synaptic connections for bio-inspired neuromorphic circuits. One ...
Artículo
Hardware Implementation of Differential Oscillatory Neural Networks Using VO 2-Based Oscillators and Memristor-Bridge Circuits
(Frontiers Media, 2021)
Oscillatory Neural Networks (ONNs) are currently arousing interest in the research community for their potential to implement very fast, ultra-low-power computing tasks by exploiting specific emerging technologies. From ...
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 ...