Neuronal Network Analysis

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In the last few years, technologies that allow for monitoring and manipulating neuronal networks at a single cell resolution have been rapidly expanding. In Neuronal Network Analysis: Concepts and Experimental Approaches, experts in the field provide an overview of some of the most advanced techniques for the study of neuronal circuits, highlighting current technical limitations and providing a vision of what is yet to come. Broken into six convenient, interdependent section, this volume covers optical approaches, electrophysiological approaches, both in vitro and in vivo, optogenetics, morpho-functional approaches, and neuronal network analysis in humans. As a volume in the Neuromethods series, this work provides the kind of detailed description and implementation advice that is crucial for getting optimal results.

Authoritative and cutting-edge, Neuronal Network Analysis: Concepts and Experimental Approaches will be useful for early career neuroscientists, as well as for experienced neuroscientists, by providing a practical framework for studying the brain as an organ while maintaining an appreciation for its cellular diversity.


Collects the latest technology used on neural network studies Provides a vision of the present and future of circuit neuroscience Includes expert tips and implementation advice to ensure the successful reproduction of the protocols provided

Inhalt

Optical Interrogation of Neural Circuits.- In Vivo Functional Imaging of the Olfactory Bulb at Single Cell Resolution.- Two-Photon Imaging of Neural Activity in Awake, Head-Fixed Mice.- Spatial Light Modulators for Complex Spatio-Temporal Illumination of Neuronal Networks.- Voltage-Sensitive Dye Imaging of Cortical Function In Vivo.- An Introduction to In Vitro Slice Approaches for the Study of Neuronal Circuitry.- Extracellular Recordings of Synaptic Plasticity and Network Oscillations in Hippocampal Slices.- Use of Dynamic-Clamp as a Tool to Reveal the Computational Properties of Single Neurons Embedded in Cortical Circuits.- Fast Perfusion Methods for the Study of Ligand-Gated Ion Channels.- Electrophysiological Approaches for Studying Neuronal Circuits In Vivo.- Determination of Cortical Circuit Function Using Current Source-Density (CSD) Analysis In Vivo.- Intracellular Whole-Cell Patch-Clamp Recordings of Cortical Neurons in Awake Head-Restrained Mice.- Investigating Sleep Homeostasis with Extracellular Recording of Multiunit Activity from the Neocortex in Freely-Behaving Rats.- Analysis of Hippocampal Memory Replay Using Neural Population Decoding.- High Speed Videography of Embodied Active Sensing in the Rodent Whisker System.- Light-Activated Ion Pumps and Channels for Temporally-Precise Optical Control of Activity in Genetically-Targeted Neurons.- Integrated Optogenetic and Electrophysiological Dissection of Local Cortical Circuits In Vivo.- Combining Optical Stimulation with Extracellular Electrophysiology in Behaving Mice.- Morphological Approaches to the Anatomical Dissection of Neuronal Circuits.- The Isotropic Fractionator: A Fast, Reliable Method to Determine Numbers of Cells in the Brain or Other Tissues.- Morpho-Functional Mapping of Cortical Networks inBrain Slice Preparations Using Paired Electrophysiological Recordings.- Combining Transcranial Magnetic Stimulation with Electroencephalography to Study Human Cortical Excitability and Effective Connectivity.- Biophysically Principled Computational Neural Network Modeling of Magneto-/Electro-Encephalography (MEG/EEG) Measured Human Brain Oscillations.

Weitere Informationen

  • Allgemeine Informationen
    • Sprache Englisch
    • Editor Michael Halassa, Tommaso Fellin
    • Titel Neuronal Network Analysis
    • Veröffentlichung 23.02.2012
    • ISBN 1617796328
    • Format Fester Einband
    • EAN 9781617796326
    • Jahr 2012
    • Größe H260mm x B183mm x T32mm
    • Untertitel Concepts and Experimental Approaches
    • Gewicht 1136g
    • Auflage 2012
    • Genre Medizin
    • Lesemotiv Verstehen
    • Anzahl Seiten 504
    • Herausgeber Humana Press
    • GTIN 09781617796326

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