Memristor-based spiking neural networks: cooperative development of neural network architecture/algorithms and memristors
Authors:
- Huihui PengHPHuihui Peng
- Lin GanLin Gan
- Xin GuoXGXin Guo
Open Access
Abstract
No abstract availableKeywords
This publication has 119 references indexed in Scilit:
- Organic Memory and Memristors: From Mechanisms, Materials to DevicesAdvanced Electronic Materials, 2021
- A Habituation Sensory Nervous System with MemristorsAdvanced Materials, 2020
- Recent Advances on Neuromorphic Devices Based on Chalcogenide Phase‐Change MaterialsAdvanced Functional Materials, 2020
- Bridging Biological and Artificial Neural Networks with Emerging Neuromorphic Devices: Fundamentals, Progress, and ChallengesAdvanced Materials, 2019
- Memristive Synapses and Neurons for Bioinspired ComputingAdvanced Electronic Materials, 2019
- A survey of FPGA-based accelerators for convolutional neural networksNeural Computing and Applications, 2018
- High‐Speed and Low‐Energy Nitride MemristorsAdvanced Functional Materials, 2016
- Spiking Deep Convolutional Neural Networks for Energy-Efficient Object RecognitionInternational Journal of Computer Vision, 2014
- Redox‐Based Resistive Switching Memories – Nanoionic Mechanisms, Prospects, and ChallengesAdvanced Materials, 2009
- A logical calculus of the ideas immanent in nervous activityBulletin of Mathematical Biology, 1943