Article ID Journal Published Year Pages File Type
408580 Neurocomputing 2007 16 Pages PDF
Abstract

Propulsion in the lamprey, an eel-like fish, is governed by activity in its spinal neural network (called a central pattern generator (CPG)). This CPG is simulated, in accordance with Ekeberg's original model, and optimised alternatives are generated with genetic algorithms (GAs).A two-phase GA is adopted: (1) to evolve neuron-descriptive parameters and synaptic weights of the neural oscillator for a single lamprey segment, (2) to generate interconnections between segments.Results demonstrate that Ekeberg's prototype is not a unique solution and that simpler versions with wider operational ranges can be generated. Evolved solutions outperform the swimming capabilities of a modelled biological organism, as an initial step in understanding how to control wave power devices, with similar motion to the lamprey.

Related Topics
Physical Sciences and Engineering Computer Science Artificial Intelligence
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