Overview

This monograph is the result of a course given to graduate students and to the faculty of the Dept. of Medical Physics and Biophysics of Nijmegen University, Nijmegen, The Netherlands, in the fall of 1984 and 1985. The course was intended to put together experi­ ment, theory, and analysis methods in order to study neural in­ teraction and coding in the brain. The following pages give a survey of neural interaction and its experimental substrate: cor­ related neural activity. The basic reason for restricting myself to vertebrate brains was to keep the material concise. As the text developed, however, it became more of a review, than a research monograph, in the attempt to balance theoretical and experimen­ tal aspects in brain research. Consequently, the book can be read from various points of view: that of requiring an overview of theories and theoretical principles, or an overview of experimental studies in neural interaction and the methods that can be used, or with the conviction that theory and experiment cannot be separat­ ed. In the latter case the book should be read from beginning to end. A way to read through the theoretical sections and the ex­ perimental sections of the book is presented in the following flow chart; Theory: /Chap. 2 -Chap. 4 -Chap. 5 ___ ~ Introduction -+ Chap. 1 \, Chap. 10 -+ Chap. 14 Experim~Chap. 3 -Chap. 6 -Chap. 7 -Chap. 8 ~ Chap.

Full Product Details

Author:   Jos J. Eggermont
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   Softcover reprint of the original 1st ed. 1990
Volume:   16
Dimensions:   Width: 15.50cm , Height: 1.70cm , Length: 23.50cm
Weight:   0.498kg
ISBN:  

9783642510359

ISBN 10:   3642510353
Pages:   307
Publication Date:   21 May 2012
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
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Table of Contents

1 Single-Unit Analysis Versus Population Response Analysis.- 2 Outline of this Book.- 1 Information Coding.- 1.1 Information Coding and Transmission by Single Cells and Cell Populations.- 1.2 Cooperative Effects and Ensemble Coding.- 2 Spontaneous Activity.- 2.1 Noise or Information Carrier?.- 2.2 Quantification and Representation.- 2.3 The Auditory System.- 2.4 The Visual System.- 2.5 Other Brain Areas.- 2.6 Synthesis of Spontaneous Activity Phenomenology.- 3 Receptive Fields.- 3.1 Receptotopic and Nonreceptotopic Receptive Fields.- 3.2 Center-Surround Structure.- 3.3 Receptive Field Changes in Central Neurons: Feature Detectors?.- 3.4 Temporal Properties of the Receptive Field.- 4 Single-Neuron Models.- 4.1 Diffusion Models.- 4.2 Discrete Input Models.- 4.3 Neural Interaction — Black Box — Models.- 5 Neural Network Models.- 5.1 Neurons as Logical Switching Elements.- 5.2 Little-Neurons as Network Elements: Introduction of Probability.- 5.3 Statistical Theories of Memory.- 5.4 Statistical Neuromechanics.- 5.5 Neural Field Theories.- 5.6 Interaction in Neural Nets.- 6 Multiple Separate Recordings from Neural Nets.- 6.1 Recording from Multiple Sites in the Brain.- 6.2 Separating Multiple-Unit Spike Trains.- 7 Representation and Detection of Correlated Neural Activity.- 7.1 Representation of Multiple-Site Recorded Continuous Neural Activity.- 7.2 Representation of Multiunit Spike Trains.- 7.3 Cross-Correlation.- 7.4 Joint Peri-Stimulus-Time Scattergrams.- 7.5 A Hierarchy of Multiunit Representations.- 7.6 Correlation Analysis of Larger Numbers of Neural Units.- 7.7 Are Higher-Order Correlation Analyses Necessary?.- 7.8 Correcting Cross-Correlations for Effects of Stimulus Coupling 142.- 8 Correlated Neuronal Activity Observed in the Vertebrate Brain.- 8.1 The VisualSystem.- 8.2 The Auditory System.- 8.3 The Somatosensory System.- 8.4 Simultaneous Versus Sequential Single-Unit Recording.- 8.5 The Motor System.- 8.6 Comparison Between the Sensory and Motor Systems.- 8.7 Correlated Neural Activity and the State of the Animal.- 8.8 Correlated Neural Activity and Cognition.- 9 System Identification from Neural Correlation.- 9.1 Identification on the Basis of Continuous Input and Output Signals.- 9.2 Identification on the Basis of Continuous Input and Discrete Output.- 9.3 Identification Based upon Discrete Input and Discrete Output.- 9.4 Identification Based upon Discrete Input and Continuous Output.- 9.5 When Systems Identification Does Not Work.- 10 Plasticity — The Capacity to Change.- 10.1 The Developing Brain.- 10.2 The Adult Brain.- 10.3 Mechanisms and Models for Modifiable Synapses.- 11 Learning — The Cerebellum.- Box L, Anatomy, Physiology and Pharmacology of the Cerebellum.- 11.3 The Cerebellum as a Space-Time Metric.- 12 Learning — The Hippocampus.- 12.1 Types of Memory.- 12.2 Brain Structures Involved in Memory.- 12.3 A Mechanism of Memory Formation in the Hippocampus.- 12.4 Formal Models of Memory Formation.- 12.5 A Model for the Role of the Hippocampus in Memory.- 13 Learning — The Neocortex.- 13.1 The Neocortex: Pinnacle or Way-Station?.- 13.2 Development Aspects of Neocortical Organizations.- 13.3 The Neocortex as a Self-Organizing System.- 14 The Correlative Brain.- 14.1 Correlation, the Basic Mechanism of the Brain?.- 14.2 Topographic and Functional Brain Maps.- 14.3 Top-Down and Bottom-Up Approaches to Brain Function.- References.

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