An episodic memory model using spiking neurons

Abstract

We describe a novel episodic memory model that meets some critical requirements for real-world robotic applications: (a) learn quickly and online, (b) recall patterns in their original order and with preserved timing information and (c) upon cuing, complete sequences from any position even in the presence of ambiguous transitions.