The Neuroscience of Language puts forth the first systematic model of language to bridge the gap between linguistics and neuroscience. Neuronal models of word and serial order processing are presented in the form of a computational, connectionist neural network. The linguistic emphasis is on words and elementary syntactic rules. The essence of the work is contained in chapters on neural algorithms and networks, basic syntax, serial order mechanisms, and neuronal grammar. Throughout, exercises illustrate the functioning of brain models of language.
A book serves like a roadmap toward bridging the gaps between linguistics and contemporary neuroscience. At points, it is pretty hard to understand when the author walk the narrow boundary between the neuronal rules and language paradigm. To me, the most important in such a tedious endeavor was the hybrid rose up form starting from elementary cortical networking principles and those of linguistics main theories. Any researcher in the field cannot ignore such a cornerstone that paves the way to achieve a better understanding of the neural correlations of language.