Average Reviews:
(More customer reviews)To those students, mostly at the undergraduate level, that are not applied mathematic specialists and have looked for an easy to understand, well written, introduction to Neural Networks in learning processes; this is a must-have book. "Gateway..." is an excellent read, targeted to readers from a wide scope of backgrounds, from Biologists to Computer Science Majors through Medical Sciences.
Although leaning a bit too heavily on the conceptual view of the subject, the book introduces the reader gradually to what a Neural Network is, what a computer model is and how it works.
Two basic tools are of special interest to the reader. First, the beginning half of the book gives a general, yet very complete, introduction of the concepts, history and theory to be used. Second, for those with a little more interest in the mathematics there's a good number of "Math Boxes" delving into the details of the subject(s).
The effect of these tools is that, by the time you reach into the core matter of how neural networks models are constructed and worked in the field of Hippocampal memory, the reader suddenly finds his/herself well-familiarized with the theory. A comfortable, gradual, learning process has taken place without any discomfort (and in less time than you would think!).
Click Here to see more reviews about: Gateway to Memory: An Introduction to Neural Network Modeling of the Hippocampus and Learning (Issues in Clinical and Cognitive Neuropsychology)
This book is for students and researchers who have a specific interest inlearning and memory and want to understand how computational models can beintegrated into experimental research on the hippocampus and learning. It emphasizesthe function of brain structures as they give rise to behavior, rather than themolecular or neuronal details. It also emphasizes the process of modeling, ratherthan the mathematical details of the models themselves.The book is divided into twoparts. The first part provides a tutorial introduction to topics in neuroscience,the psychology of learning and memory, and the theory of neural network models. Thesecond part, the core of the book, reviews computational models of how thehippocampus cooperates with other brain structures--including the entorhinal cortex,basal forebrain, cerebellum, and primary sensory and motor cortices--to supportlearning and memory in both animals and humans. The book assumes no prior knowledgeof computational modeling or mathematics. For those who wish to delve more deeplyinto the formal details of the models, there are optional "mathboxes" andappendices. The book also includes extensive references and suggestions for furtherreadings.
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