Functional connectivity has been widely used to reveal the dependencies between signals in complex networks such as neural networks observed from electroencephalogram (EEG) data. ...
Creating ensembles of random but "realistic" topologies for complex systems is crucial for many tasks such as benchmark generation and algorithm analysis. In general, exp...
Abstract. This paper is concerned with arti cial evolution of neurocontrollers with adaptive synapses for autonomous mobile robots. The method consists of encoding on the genotype ...
Abstract— This paper presents the use of a newly created network structure known as a Self-Delaying Dynamic Network (SDN). The SDNs were created to process data which varies with...
A scalable architecture to facilitate emergent (self-organized) task decomposition using neural networks and evolutionary algorithms is presented. Various control system architectu...
Jekanthan Thangavelautham, Gabriele M. T. D'Eleute...