Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems
Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems
Supplementing evolutionary developmental systems with abstract models of neurogenesis
Proceedings of the 9th annual conference on Genetic and evolutionary computation
ECAL'09 Proceedings of the 10th European conference on Advances in artificial life: Darwin meets von Neumann - Volume Part I
Using virtual embryogenesis in multi-robot organisms
ICAIS'11 Proceedings of the Second international conference on Adaptive and intelligent systems
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This paper presents a model for the development of primitive nervous systems in a hydra-like animat controlled by a gene regulatory network. The gene regulatory network consists of structural genes that simulate the main cellular events during neural development at an abstract level, namely, cell division, cell migration, and axon growth, and regulatory genes that control the expression of the structural genes. The developmental model is evolved with an evolutionary algorithm to achieve the correct developmental order. After the genetically controlled neural development is completed, the connectivity and weights of the neural networks are further adapted to allow the animat for performing simple behaviors such as the food catching behavior of a hydra. Our preliminary results suggest that the proposed developmental model is promising for computational simulation of the evolution of neural development for understanding neural organization in biological organisms.