Journal of Theoretical and Computational Nanoscience, vol.1 (1) American Scientific Publisher, 2004, in print Computational Neurogenetics ∗ Nikola Kasabov ∗∗ and Lubica Benuskova Knowledge Engineering and Discovery Research Institute School of Information Technology Auckland University of Technology Auckland, New Zealand Address: AUT Technology Park, 581-585 Great South Road, Penrose, Auckland, New Zealand Phone 64 9 917 9506 Fax 64 9 917 9501 Emails:
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[email protected] WWW: http://www.kedri.info ∗ The author to whom correspondence regarding the manuscript should be directed. 1 Journal of Theoretical and Computational Nanoscience, vol.1 (1) American Scientific Publisher, 2004, in print Abstract The aim of the paper is to introduce the scope and the problems of a new research area called Computational Neurogenetics (CNG), along with some solutions and directions for further research. CNG is concerned with the study and the development of dynamic neuronal models integrated with gene models. This area brings together knowledge from various science disciplines, such as computer and information science, neuroscience and cognitive study, genetics and molecular biology. A computational neurogenetic model is created to model a brain function or a brain disease manifestation, or to be used as a general mathematical model for solving complex scientific and engineering problems. The CNG area goes beyond modelling simple relationship between a single gene and a single neuronal function or a neuronal parameter. It is the interaction between hundreds and thousands of genes in a neuron and their relationship with the functioning of a neuronal ensemble and the brain as a whole (e.g., learning and memory, speech and vision, epilepsy, mental retardation, aging, neural stem cells, etc.).