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Titlebook: New Aspects in Analyzing the Synaptic Organization of the Brain; Joachim H.R. Lübke,Astrid Rollenhagen Book 2024 The Editor(s) (if applica

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发表于 2025-3-21 18:00:01 | 显示全部楼层 |阅读模式
书目名称New Aspects in Analyzing the Synaptic Organization of the Brain
编辑Joachim H.R. Lübke,Astrid Rollenhagen
视频video
概述Includes cutting-edge methods and protocols.Provides step-by-step detail essential for reproducible results.Contains key notes and implementation advice from the experts
丛书名称Neuromethods
图书封面Titlebook: New Aspects in Analyzing the Synaptic Organization of the Brain;  Joachim H.R. Lübke,Astrid Rollenhagen Book 2024 The Editor(s) (if applica
描述.This volume looks at the latest methodological developments used in the field to investigate the synaptic organization of the brain from different viewpoints including structural, structural/functional, molecular, and computational methods. The chapters in this book are organized into five parts and cover topics such as preparation of brain tissue and techniques; connectivity; synaptic vesicles; phenomenological modeling; and dendritic spines. In the .Neuromethods .series style, chapters include the kind of detail and key advice from the specialists needed to get successful results in your laboratory...Authoritative and thorough, .New Aspects in Analyzing the Synaptic Organization of the Brain .is a valuable resource that will help students, post-docs, and even expert researchers learn more about the discipline of cellular and synaptic neuroscience..
出版日期Book 2024
关键词3D synaptic organization; electron microscopy; Neuromodulation; neurotransmitter receptor distribution;
版次1
doihttps://doi.org/10.1007/978-1-0716-4019-7
isbn_softcover978-1-0716-4021-0
isbn_ebook978-1-0716-4019-7Series ISSN 0893-2336 Series E-ISSN 1940-6045
issn_series 0893-2336
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Science+Busines
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xpressions for the free energy of these models by an extension of the method used for square ice. In contrast to the Ising model, some results can be obtained for non-zero fields (electric fields in this case) (Sutherland 1967, Lieb 1969). The development in this chapter is based on the extensive re
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Franz X. Mittermaier,Henrik Alle,Jörg R. P. Geigers to the thermodynamic functions of a model in their respective ranges of temperature. They are, however, more often used to study critical properties, specifically to obtain critical points and exponents. Suppose that .is some thermodynamic function of the model of interest, with ζ a function of te
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Jailenne Quiñones-Rodríguez,Thomas Schikorskioximation methods. We have found it appropriate to inelude some of our discussion of exact results in this volume and some in Volume 1. Apart from this much of the discussion in Volume 1 is concerned with mean-field theory. Although this is known not to give reliable results elose to a critical regi
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Astrid Rollenhagen,Kurt Sätzler,Joachim H. R. Lübkeorld problems, driven by deep learning [., .]. However, biological details are also being incorporated into standard models of neural networks [.,.,.]. Indeed, neuroscience researches about the biological mechanisms of perception, cognition, memory and action have already provided a variety of fruit
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Long-Distance Transport of Surgically Resected, Alive Human Brain Tissuee both a procedure for transporting a non-sliced specimen and options for transporting already sliced tissue. For the transport of brain slices, we describe the design of a simple and robust transport container (BrainCase). The BrainCase can be perfused with continuously gassed sucrose-based artific
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Unbiased Sampling and Volume-Sorting of Origin-Specific Terminals Using SBEM Image Stacksbouton volume, synaptic zone area, and estimated synapse density, and may allow researchers to obtain a quantification of the synaptic circuitry in a given brain region in a relatively short time and then compare across any given variable such as age, development, or disease progression.
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Multiplexed ,STORM Imaging of Neuronal Tissue and Cells(multiplexed automated serial staining stochastic optical reconstruction microscopy), a microscopy approach allowing fully automated re-staining of the sample directly on the microscope by combining 3D dual-channel .STORM imaging with automated solution exchange using a pipetting robot. Using maS.TO
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