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Modern Techniques in Neuroscience Research

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Cover of 'Modern Techniques in Neuroscience Research'

Table of Contents

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    Book Overview
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    Chapter 1 Cytological Staining Methods
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    Chapter 2 Application of Differential Display and Serial Analysis of Gene Expression in the Nervous System
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    Chapter 3 Methods Towards Detection of Protein Synthesis in Dendrites and Axons
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    Chapter 4 Optical Recording from Individual Neurons in Culture
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    Chapter 5 Electrical Activity of Individual Neurons in Situ: Extra- and Intracellular Recording
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    Chapter 6 Electrical Activity of Individual Neurons: Patch-Clamp Techniques
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    Chapter 7 Microiontophoresis and Pressure Ejection
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    Chapter 8 An Introduction to the Principles of Neuronal Modelling
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    Chapter 9 In Vitro Preparations
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    Chapter 10 Culturing CNS Neurons: A Practical Approach to Cultured Embryonic Chick Neurons
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    Chapter 11 Neural Stem Cell Isolation, Characterization and Transplantation
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    Chapter 12 In Vitro Reconstruction of Neuronal Circuits: A Simple Model System Approach
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    Chapter 13 Grafting of Peripheral Nerves and Schwann Cells into the CNS to Support Axon Regeneration
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    Chapter 14 Cell and Tissue Transplantation in the Rodent CNS
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    Chapter 15 Histological Staining Methods
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    Chapter 16 Optical Recording from Populations of Neurons in Brain Slices
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    Chapter 17 Recording of Electrical Activity of Neuronal Populations
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    Chapter 18 Time and Frequency Domain Analysis of Spike Train and Time Series Data
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    Chapter 19 Information-Theoretical Analysis of Sensory Information
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    Chapter 20 Information-Theoretical Analysis of Small Neuronal Networks
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    Chapter 21 Linear Systems Description
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    Chapter 22 Nonlinear Analysis of Neuronal Systems
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    Chapter 23 Dynamical Stability Analyses of Coordination Patterns
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    Chapter 24 Detection of Chaos and Fractals from Experimental Time Series
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    Chapter 25 Neural Networks and Modeling of Neuronal Networks
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    Chapter 26 Acquisition, Processing and Analysis of the Surface Electromyogram
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    Chapter 27 Decomposition and Analysis of Intramuscular Electromyographic Signals
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    Chapter 28 Relating Muscle Activity to Movement in Animals
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    Chapter 29 Long-term Cuff Electrode Recordings from Peripheral Nerves in Animals and Humans
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    Chapter 30 Microneurography in Humans
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    Chapter 31 Biomechanical Analysis of Human and Animal Movement
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    Chapter 32 Detection and classification of synergies in multijoint movement with applications to gait analysis
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    Chapter 33 Magnetic Stimulation of the Nervous System
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    Chapter 34 In-vivo Optical Imaging of Cortical Architecture and Dynamics
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    Chapter 35 Electroencephalography
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    Chapter 36 Modern Techniques in ERP Research
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    Chapter 37 Magnetoencephalography
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    Chapter 38 Magnetic Resonance Imaging of Human Brain Function
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    Chapter 39 Positron Emission Tomography of the Human Brain
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    Chapter 40 Magnetic Resonance Spectroscopy of the Human Brain
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    Chapter 41 Monitoring Chemistry of Brain Microenvironment: Biosensors, Microdialysis and Related Techniques
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    Chapter 42 Invasive Techniques in Humans: Microelectrode Recordings and Microstimulation
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    Chapter 43 Psychophysical Methods
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    Chapter 44 Analysis of Behavior in Laboratory Rodents
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    Chapter 45 Data Acquisition, Processing and Storage
Attention for Chapter 19: Information-Theoretical Analysis of Sensory Information
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Chapter title
Information-Theoretical Analysis of Sensory Information
Chapter number 19
Book title
Modern Techniques in Neuroscience Research
Published by
Springer, Berlin, Heidelberg, January 1999
DOI 10.1007/978-3-642-58552-4_19
Book ISBNs
978-3-64-263643-1, 978-3-64-258552-4
Authors

Yoav Tock, Gideon F. Inbar

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Hungary 1 1%
Germany 1 1%
Turkey 1 1%
United Kingdom 1 1%
United States 1 1%
Unknown 64 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 21 30%
Student > Ph. D. Student 20 29%
Professor > Associate Professor 6 9%
Professor 5 7%
Student > Postgraduate 4 6%
Other 5 7%
Unknown 8 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 23 33%
Neuroscience 8 12%
Medicine and Dentistry 8 12%
Computer Science 5 7%
Chemistry 4 6%
Other 9 13%
Unknown 12 17%