Quantum-like Networks An Approach to Neural Behavior through their Mathematics and Logic

Do brains compute? If they do, what do they compute and how do they do it? The first part of the book introduces the development of a model that simulates actual biological neurons more closely than do current standard models of neural networks, as well as the deduction of its physics-like and computational properties from first principles. The second part presents a collection of applications of the model to memory formation and loss, a general syntax for memory retrieval, language itself, and certain forms of aphasia. A linear development of the discussion with proofs in situ is employed by the author, making the book essentially self-contained. A pair of helpful appendices are provided to acquaint the reader with necessary fundamentals of topics in logic and mathematics. Quantum-like Networks: An Approach to Neural Behavior through their Mathematics and Logic will show you an entirely new approach to an ancient subject.
Contents:IntroductionAbout the AuthorNotes to the ReaderLogic and Networks:Logical FoundationsNeuronal NetworksThe Logic of Many NetworksApplications:Memory-like ProcessesTsien's Theory of ConnectivityA General Syntax of RetrievalAppendices:Appendix to Chapter 1A Mathematics PrimerBibliographyIndex
Readership: Researchers and graduate students in Neuroscience, Biomathematics, Biophysics, Mathematics, Computer Science, and related fields.

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