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Hippocampal Microcircuits: A Computational Modeler's Resource Book (Springer Series in Computational Neuroscience)

Обложка книги Hippocampal Microcircuits: A Computational Modeler's Resource Book (Springer Series in Computational Neuroscience)

Hippocampal Microcircuits: A Computational Modeler's Resource Book (Springer Series in Computational Neuroscience)

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The hippocampus is thought to play a role in the short-term storage of declarative memories in the human brain. Our understanding of its anatomy, physiology and molecular structure has expanded rapidly in recent years. Yet much still needs to be done to decipher the function of the detailed microcircuits. This overview of our current knowledge of the hippocampus also provides a snapshot of the state of the art of ongoing research into these microcircuits.

Rich in detail, Hippocampal Microcircuits: A Computational Modeler’s Resource Book provides succinct and focused reviews of experimental results. It is an unparalleled resource of data and methodology that will be invaluable to anyone wishing to develop computational models of the microcircuits of the hippocampus. The editors have divided the material into two thematic areas. Covering the subject’s experimental background, leading neuroscientists discuss the morphological, physiological and molecular characteristics as well as the connectivity and synaptic properties of the various cell types found in the hippocampus. Here, ensemble activity, related to behavior, on the part of morphologically identified neurons in anesthetized and freely moving animals, lead to insights into the functions of hippocampal areas. In the second section, on computational analysis, computational neuroscientists present models of hippocampal microcircuits at various levels of detail, including single-cell and network levels. A full chapter is devoted to the single-neuron and network simulation environments currently used by computational neuroscientists in developing their models.

In addition to the above, the chapters also identify outstanding questions and areas in need of further clarification that will guide future research by computational neuroscientists.

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