A micropopulation model adaptation for neural network studies

A discrete-time, micropopulation model called SUMMERS has been adapted to represent one of the neural network models proposed by K. Fukushima (see Biolog. Cybern., vol.50, p.105-13, 1984). Such specializations of SUMMERS allow for ease of model modification and extension, while sharing most of the Fortran coding with a group of micropopulation models used in epidemiological studies of chronic and infectious diseases. The neural network model. COGNET, can duplicate the features of the primarily deterministic Fukushima model and also can incorporate stochastic elements processed using Monte Carlo techniques. It is planned to use COGNET to test new features that would be based on neuroanatomic and physiological information.<>