Published paper in Journal of Applied Physics: Tutorial: Concepts for closely mimicking biological learning with memristive devices: Principles to emulate cellular forms of learning

The Neuromorphic Behaving Systems Group is proud to announce that the paper "Tutorial: Concepts for closely mimicking biological learning with memristive devices: Principles to emulate cellular forms of learning" co-authored by Elisabetta Chicca is now published by the Journal of Applied Physics.

In this tutorial paper Chicca et al. aim to provide insight on current investigations in the field of using non-volatile memristive devices in very-large-scale integration (VLSI) technologies to simulate spiking neural networks and synaptic functionalities.

The integration of memristive devices in neuromorphic VLSI circuits poses an ideal way of simulating synaptic state changes while ensuring low power usage and high packing densities. Here the authors address the main questions of how functionalities of synapses can be emulated with memristive devices and what are the basic requirements to realize artificial inorganic neurons and synapses.