Berlin 2024 – wissenschaftliches Programm

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DY: Fachverband Dynamik und Statistische Physik

DY 10: Nonlinear Dynamics, Synchronization and Chaos

DY 10.4: Vortrag

Montag, 18. März 2024, 15:45–16:00, BH-N 128

A Sensory Driven Adaptive Central Pattern Generator — •Jonas Röhrig, Sebastian Jenderny, Bakr Al Beattie, and Karlheinz Ochs — Ruhr-University, Bochum, Germany

Contributing to the ongoing effort to integrate our understanding of biological neuronal systems into the next generation of computational hardware, we propose an ideal electrical circuit to model a central pattern generator (CPG). A CPG is a fundamental neuronal circuit that can autonomously generate rhythmic muscle contractions that may be modulated by external inputs. Concretely, we consider a CPG that consists of inhibitorily coupled, alternatingly firing pacemaker neurons that are excitatorily coupled with motor neurons. As a technologically and biologically plausible neuron model we use the FitzHugh-Nagumo oscillator. We let some sources and components depend on a sensory signal to achieve varying oscillation frequencies and synchronization patterns. Moreover, we present a wave digital model of the proposed circuit that can be used to emulate the CPGs behavior, demonstrating switching between synchronization patterns and frequency changes.

Keywords: central pattern generator; FitzHugh-Nagumo; wave digital