Emulation of Learning Behavior in the Hippocampus: From Memristive Learning to Behavioral Tests

Abstract Neuromorphic engineering is concerned with the emulation of biological learning and memory processes in hardware. The use memristive devices, i.e., non-volatile has given this field a significant boost last decade. However, most today's efforts are aimed at hardware implementation artificial intelligence computational methods, while methods less pursued. In latter, however, there enormous potential for information technology. For this, network-dependent cognitive functionalities from biology must be identified transferred to technical systems. chapter, we will show possible approach. Using hippocampus, which central structure mammalian brain responsible new information, as an example, it shown how elementary functions can investigated by behavioral tests humans their functionality broken down network dependent functionalities. Furthermore, these technically reproduced model.