Computational neurogenetic modeling is concerned with the study and development of dynamic neuronal models for modeling brain functions with respect to genes and dynamic interactions between genes. These include neural network models and their integration with gene network models. This area brings together knowledge from various scientific disciplines, such as computer and information science, neuroscience and cognitive science, genetics and molecular biology, as well as engineering.Levels of processing includes Molecular kinetics, Genetic regulatory network, Artificial neural network, Combining gene regulatory networks and artificial neural networks
Potential applications Computational neurogenetic modeling includes computational neurogenetic models, such as simulating genetic diseases, examining the impact of potential treatments better understanding of learning and cognition,and development of hardware able to interface with neurons.
Among those diseases suggested as being possible targets of computational neurogenetic modeling based analysis are epilepsy, schizophrenia, mental retardation, brain aging and Alzheimers disease, and Parkinsons disease
Neurophysiology and Rehabilitation emphasize in publishing the original scholarly articles related to Neurology and Rehabilitation worldwide. The journal follows rapid review process with the Eminent Editorial Board.