—We describe a spiking neuronal network which allows local synaptic weights to be assigned to individual synapses. In previous implementations of neuronal networks, the biases th...
This paper examines how methods inspired by biological processes can be applied to the design of large-scale environment-aware sensor networks. Our ultimate goal are systems conta...
The metabolic P algorithm is a procedure which determines, in a biochemically realistic way, the evolution of P systems representing biological phenomena. A new formulation of thi...
Continuous-time recurrent neural networks (CTRNNs) are potentially an excellent substrate for the generation of adaptive behaviour in artificial autonomous agents. However, node ...
This paper describes SymbioticSphere, a novel biologically-inspired architecture that allows grid systems (application services and middleware platforms) to be scalable and adapti...