Review by Choice Review
This invaluable reference is a timely documentation and road sign for many artificial neural network researchers, particularly those who are interested in achieving biologically accurate models of neural networks. Here is a wealth of information and knowledge in neurological understanding of the computational aspects inside the brain. This much-needed information in computational neuroscience provides a welcomed bridge or link between the empirical findings of animal studies and the modeling techniques of engineering in practical applications. The book begins with the principles of brain organization, the static determinants of synaptic strength, and the learning rules from neurobiology, followed by realistic network models that account for the different aspects of the biological counterpart. This documentary, written by noted scientists and engineers in the field, also serves as a detailed starting point for future research. Highly recommended. Faculty. J. Y. Cheung; University of Oklahoma
Copyright American Library Association, used with permission.
Review by Choice Review