Group C2

Memsensors in Dynamically Configurable Network Systems

The project investigates artificial natural neural networks by addressing the aspects of parallelism and hierarchy, dynamic self-organization, and distributed detection and processing. To find a technological representation of these aspects, memristive and sensor elements will be combined with oscillators, decentral power supply and passive elements. Network connections will be generated by 3D printing of crossbar-like structures and triggered self-assembly of interconnections. Memsensors will involve wide band gap semiconductors and plasmonic nanoparticles for photon sensing. Later, the network will be extended to 3D and sensing of other stimuli such as local magnetic field or local forces, for instance.


CRC-colloquium on May 25, 2023: Suhas Kumar (Sandia National Laboratories, CA, USA): Video is online!


Issue 14 of the quarterly CRC-Newsletter is now available (incl. IMNeuS23 in Münster)!


New publication in Nature Electronics