Convergence of a Class of Delayed Neural Networks with Real Memristor Devices
Neural networks with memristors are promising candidates to overcome the limitations of traditional von Neumann machines via the implementation of novel analog and parallel computation schemes based on the in-memory computing principle.Of special importance are neural networks with generic or extended memristor models that are suited to accurately