Memristor Bridge Synapse-Based Neural Network and Its Learning

By Shyam Prasad Adhikari, Changju Yang, Hyongsuk Kim, Leon Ong Chua. IEEE Transactions on Neural Networks and Learning Systems, 2012

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A Survey of Neuromorphic Computing and Neural Networks in Hardware (2017, background): “negative and zero weight values [1883]–[1893].”
Memristor-Based Multilayer Neural Networks With Online Gradient Descent Training (2015, unknown): “…no circuit has been suggested to utilize memristors for implementing such scalable online learning in MNNs. Interestingly, it was recently shown [36], [37] that memristors could be used to implement MNNs trained by backpropagation in a chip-in-a-loop setting, where the weight update…”
A Memristor-Based Hyperchaotic System with Hidden Attractors: Dynamics, Synchronization and Circuital Emulating (2015, background): “While Chua’s circuit and CNNs have studied and applied in various areas, such as secure communications, random generators, signal processing, pattern formation of modelling of complex systems [6-12], studies on memristor [13-21] have only received significant attention recently after the realization”