Berlin 2024 – scientific programme
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DY: Fachverband Dynamik und Statistische Physik
DY 33: Poster: Nonlinear Dynamics, Pattern Formation and Networks
DY 33.3: Poster
Wednesday, March 20, 2024, 15:00–18:00, Poster C
Wave Digital Model of a Relaxation Oscillator with Optical Memsensor — •Sebastian Jenderny1, Rohit Gupta2, Roshani Madurawala3, Maik-Ivo Terasa3, Franz Faupel2, Sören Kaps3, Rainer Adelung3, Alexander Vahl2, and Karlheinz Ochs1 — 1Ruhr-University Bochum, Chair of Digital Communication Systems, Bochum, Germany — 2Christian-Albrechts University Kiel, Chair for Multicomponent Materials, Kiel, Germany — 3Christian-Albrechts University Kiel, Functional Nanomaterials Chair, Kiel, Germany
Biological neuronal networks, besides their increased energy-efficiency, are especially interesting due to their learning and adaption abilities. To come up with new designs for circuits adapting to new tasks in a self-organizing fashion, it is important to transfer findings on the biological wiring and rewiring mechanisms to electrical circuits. Up to now, the wiring mechanisms are typically associated with the change of synaptic weights and are often implemented by memristors. Growth in real neuronal networks, however, strongly depends on the integration of sensory information from their surroundings. For this purpose, in this work, we report on the use of memsensors. We specifically introduce a relaxation oscillator that includes an optical sensor as well as a memristor. The oscillator acts as an optical memsensor displaying basic neuronal behavior. To be able to evaluate the usage of this memsensor in larger circuit setups, we develop a corresponding wave digital model on the basis of experimental data of the memsensor.