FOR 2093

Distinctive characteristics of the research group

  • Forming-free, memristive quantum-mechanical tunnel contacts, memristive nanocomposite devices and lateral devices with resistive circuit mechanisms that are not based on the formation of filamentary structures for charge transfer but on homogeneous interface effects (the devices should be highly resistive and low in dissipation)
  • Silicon-based floating-gate transistors with memristive characteristics (MemFlash)
  • Use of in-situ interface analyses for correlation of the electrical, ionic and structural characteristics of the devices
  • Kinetic Monte-Carlo simulations to describe memristive circuit effects in nanoionic devices
  • Efficient extraction of the essential memristive characteristics and neuronal circuits via hardware and software emulators
  • Development of electronical neurotransmitters and electronical simulation of acquisition rates
  • Transmission of the basic mechanisms of the tri-synaptic, hippocampal functionality into neuromorphic circuits with memristive devices
  • Long-term potentiation-dependent learning on network level in fault-tolerant auto- and hetero-associative circuits
  • Transmission of principles of place cells and cognitive maps into electronical circuits
The successful realization of neuronal information processing via memristive, nano-electronical devices will establish various possibilities within neuromorphic circuit technology. Self-adapting systems with a parallel architecture with at the same time extremely low energy dissipation are conceivable. Possible applications of memristive, neuromorphic circuits are, for instance, visual pattern recognition, auditive real-time signal processing, autonomous robots, intelligent machines and Green IT. This circuit architecture could be the corner stone for a paradigm shift in information technology. Nanoelectronics, system theory and neurosciences are the keystones of the interdisciplinary research group. The research group has designated expert knowledge of materials science, interface analytics, production of devices, circuit technology, system theory and neurology.