Genetic programming II: automatic discovery of reusable programs
Genetic programming II: automatic discovery of reusable programs
Genetic micro programming of neural networks
Advances in genetic programming
Computational Explorations in Cognitive Neuroscience: Understanding the Mind by Simulating the Brain
Computational Explorations in Cognitive Neuroscience: Understanding the Mind by Simulating the Brain
Evolving neural networks through augmenting topologies
Evolutionary Computation
A Taxonomy for artificial embryogeny
Artificial Life
Evolutionary Robotics: The Biology, Intelligence, and Technology of Self-Organizing Machines
Evolutionary Robotics: The Biology, Intelligence, and Technology of Self-Organizing Machines
In search of intelligent genes: the cartesian genetic programming computational neuron (CGPCN)
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
A gene regulatory model for the development of primitive nervous systems
ICONIP'08 Proceedings of the 15th international conference on Advances in neuro-information processing - Volume Part I
Simdist: a distribution system for easy parallelization of evolutionary computation
Genetic Programming and Evolvable Machines
Noise and the evolution of neural network modularity
Artificial Life
Evolution of cartesian genetic programs for development of learning neural architecture
Evolutionary Computation
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This work investigates an intermediate abstraction level, that of neural groups, for modelling the development of complex artificial neural networks. Based on Neural Darwinism \cite{edelman:2000}, Displacement Theory \cite{deacon:1998} and The Neuromeric Model \cite{striedter:2005}, our DEACANN system avoids the complexities of axonal and dendritic growth while maintaining key aspects of cell signalling, competition and cooperation that appear to govern the formation of neural topologies in nature. DEACANN also includes a genetic-algorithm for evolving developmental recipes, and the mature networks employ several forms of learning.