From evolving artificial gene regulatory networks to evolving spiking neural networks for signal processing

Evolving Spiking Neural Networks in the GReaNs (Gene Regulatory evolving artificial Networks) Plaftorm

GReaNs (which stands for Genetic Regulatory evolving artificial Networks) is an artificial life software platform that has previously been used for modeling of evolution of gene regulatory networks able to process signals, control animats and direct multicellular development in two and three dimensions. The structure of the network in GReaNs is encoded in a linear genome, without imposing any r...

Cooperative Co-Evolving Neural Networks for Robosoccer Simulation

Processing Signals with Evolving Artificial Gene Regulatory Networks

Computational properties of gene regulatory networks (GRNs) are of great interest in the field of systems biology and, increasingly, in the field of artificial life. Understanding how GRNs work and evolve may help in elucidating the properties of real biological networks and in designing new biological networks for practical applications. Here we investigate the possibility to evolve artificial...

Evolving Artificial Neural Networks

Learning and evolution are two fundamental forms of adaptation. There has been a great interest in combining learning and evolution with artificial neural networks (ANN’s) in recent years. This paper: 1) reviews different combinations between ANN’s and evolutionary algorithms (EA’s), including using EA’s to evolve ANN connection weights, architectures, learning rules, and input features; 2) dis...

Evolving spiking neural networks for audiovisual information processing

This paper presents a new modular and integrative sensory information system inspired by the way the brain performs information processing, in particular, pattern recognition. Spiking neural networks are used to model human-like visual and auditory pathways. This bimodal system is trained to perform the specific task of person authentication. The two unimodal systems are individually tuned and ...