Connection and coordination: the interplay between architecture and dynamics in evolved model pattern generators.
We undertake a systematic study of the role of neural architecture in shaping the dynamics of evolved model pattern generators for a walking task. First, we consider the minimum number of connections necessary to achieve high performance on this task. Next, we identify architectural motifs associated with high fitness. We then examine how high-fitness architectures differ in their ability to evolve. Finally, we demonstrate the existence of distinct parameter subgroups in some architectures and show that these subgroups are characterized by differences in neuron excitabilities and connection signs.
Psujek
Sean
S
Department of Biology, Case Western Reserve University, Cleveland, OH 44106, USA. sean.psujek@case.edu
Ames
Jeffrey
J
Beer
Randall D
RD
D000818:Animals; D002490:Central Nervous System / Q000502:physiology*; D005684:Gait / Q000502:physiology; D006801:Humans; D009068:Movement / Q000502:physiology; D009415:Nerve Net / Q000502:physiology*; D016571:Neural Networks, Computer; D009434:Neural Pathways / Q000502:physiology*; D013569:Synapses / Q000502:physiology; D009435:Synaptic Transmission / Q000502:physiology; D016138:Walking / Q000502:physiology