This book is for students and researchers who have a specific interest in                  learning and memory and want to understand how computational models can be                  integrated into experimental research on the hippocampus and learning. It emphasizes                  the function of brain structures as they give rise to behavior, rather than the                  molecular or neuronal details. It also emphasizes the process of modeling, rather                  than the mathematical details of the models themselves.The book is divided into two                  parts. The first part provides a tutorial introduction to topics in neuroscience,                  the psychology of learning and memory, and the theory of neural network models. The                  second part, the core of the book, reviews computational models of how the                  hippocampus cooperates with other brain structures--including the entorhinal cortex,                  basal forebrain, cerebellum, and primary sensory and motor cortices--to support                  learning and memory in both animals and humans. The book assumes no prior knowledge                  of computational modeling or mathematics. For those who wish to delve more deeply                  into the formal details of the models, there are optional "mathboxes" and                  appendices. The book also includes extensive references and suggestions for further                  readings.

Gateway to Memory: An Introduction to Neural Network Modeling of the Hippocampus and Learning PDF

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