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Hippocampal Microcircuits, Vassilis Cutsuridis; Bruce P. Graham; Stuart Cobb;


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Автор: Vassilis Cutsuridis; Bruce P. Graham; Stuart Cobb;
Название:  Hippocampal Microcircuits
ISBN: 9783319991023
Издательство: Springer
Классификация:



ISBN-10: 3319991027
Обложка/Формат: Hardcover
Страницы: 885
Вес: 1.94 кг.
Дата издания: 2019
Серия: Springer Series in Computational Neuroscience
Язык: English
Издание: 2nd ed. 2018
Иллюстрации: 50 tables, color; 120 illustrations, color; 62 illustrations, black and white; xvii, 879 p. 182 illus., 120 illus. in color.
Размер: 239 x 165 x 46
Читательская аудитория: Professional & vocational
Ключевые слова: Neurosciences
Основная тема: Biomedicine
Подзаголовок: A Computational Modeler's Resource Book
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This is the 2nd edition of a very well received and popular book that reflects the current state-of-the-art of the ongoing research avenues concerning the hippocampus and processing units bridging the gap between single cell activity, network activity and global brain function. It aims to provide a methodology to anyone interested in developing microcircuit level models of the hippocampus. The book is divided into two thematic areas: (I) Experimental background and (II) Computational analysis. In part I, leading experimental 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. Behaviour-related ensemble activity patterns of morphologically identified neurons in anesthetized and freely moving animals provide insights on the function of the hippocampal areas. In part II, computational neuroscientists present models of the hippocampal microcircuits at various levels of detail (e.g. single cell level, network level, etc.). Synaptomics and connectomics models of hippocampal structures are initially discussed. Then, network models of memory, rhythm generation and spatial navigation are presented, followed by abstract and biophysical models of synaptic plasticity. Network models of hippocampal implicated disorders (epilepsy and schizophrenia) are then detailed and how their network topologies, connectivities and activities change in these diseases. Finally, two chapters are dedicated to describing simulator environments of single neurons and networks currently used by computational neuroscientists in developing their models and modelling tools to parametrically constrain them. This engaging volume is invaluable to experimental and computational neuroscientists, electrical engineers, physicists, mathematicians and others interested in developing microcircuit models of the hippocampus. Graduate level students and trainees in all of these fields can find this book a significant source of information.
Дополнительное описание: Preface.- Experimental Background.- Connectivity of the hippocampus.- Morphology of hippocampal neurons.- Physiological properties of hippocampal neurons .- Glutamatergic Neurotransmission in the Hippocampus.- Fast and slow GABAergic transmission in hippo



Space,Time and Memory in the Hippocampal Formation

Автор: Dori Derdikman; James J. Knierim
Название: Space,Time and Memory in the Hippocampal Formation
ISBN: 3709112915 ISBN-13(EAN): 9783709112915
Издательство: Springer
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Цена: 30745.00 р.
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Описание: This book provides comprehensive, up-to-date information about the hippocampal formation and especially the neural basis of episodic memory, spatial location (the formation of the cognitive map) and temporal representation.

Cortico-Hippocampal Interplay and the Representation of Contexts in the Brain

Автор: Robert Miller
Название: Cortico-Hippocampal Interplay and the Representation of Contexts in the Brain
ISBN: 3662217341 ISBN-13(EAN): 9783662217344
Издательство: Springer
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Цена: 15672.00 р.
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Описание: This question is especially pertinent if we are thinking of information representation in the brain, since neuroscientists (or at least the vast majority of them) believe that the basic way in whieh patterns of information are encoded in the brain is as combinations of connections, selected in a variety of ways.


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