Generating Oscillation Activity with Echo State Network to Mimic the Behavior of a Simple Central Pattern Generator
This provides a bio-inspired solution for robotic controllers, but it is incremental as it builds on existing ESN methods for a specific application.
The paper tackled the problem of mimicking a simple central pattern generator (CPG) by using a modified Echo State Network (ESN) that generates oscillatory activity without external input, demonstrating that adjustments to parameters like leaking rate and spectral radius increase the probability of reproducing desired waveforms.
This paper presents a method for reproducing a simple central pattern generator (CPG) using a modified Echo State Network (ESN). Conventionally, the dynamical reservoir needs to be damped to stabilize and preserve memory. However, we find that a reservoir that develops oscillatory activity without any external excitation can mimic the behaviour of a simple CPG in biological systems. We define the specific neuron ensemble required for generating oscillations in the reservoir and demonstrate how adjustments to the leaking rate, spectral radius, topology, and population size can increase the probability of reproducing these oscillations. The results of the experiments, conducted on the time series simulation tasks, demonstrate that the ESN is able to generate the desired waveform without any input. This approach offers a promising solution for the development of bio-inspired controllers for robotic systems.