Electric characterization of memristive devices in basal learning circuits

• Applicant: Professor Dr. Hermann Kohlstedt
• Subject Area: Synthesis and Properties of Functional Materials ; Electronic Semiconductors, Components and Circuits, Integrated Systems, Sensor Technology, Theoretical Electrical Engineering
• Term: from 2014 to 2018
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 239767484

This project part will focus on the electronic characterisation of memristive devices and their implementation in neuromorphic circuits. Our goal is to achieve the relevant device parameters for successful applications of those devices in neuromorphic circuits. The electronic characterisation may support a successful fabrication of memristive devices in the projects of parts A1 and A2. In particular, we like to achieve a broad statistic of the relevant device in order to enable a profound modelling of several device behaviours and ensure there with the design of complex neuronal circuits. Furthermore, we like to transfer the neurobiological models from project part C1 into electronic circuits, which may be consider as basic building blocks for the design of complex neuronal networks in project part C2. Therefore, the goal is to use the reductionist strategy from Kandel in order to enable the emulation of learning and memory already on the synaptic level.

• DFG Programme: Research Units
• Subproject of: FOR 2093: Memristive Devices for Neural Systems
• Participating Person: Professor Dr. Martin Ziegler