Corticonics

Neural Circuits of the Cerebral Cortex

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Paperback | 24 June 1991

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296 Pages

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22.86 x 15.24 x 1.7

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Understanding how the brain works is probably the greatest scientific and intellectual challenge of our generation. The cerebral cortex is the instrument by which we carry the most complex mental functions. Fortunately, there exists an immense body of knowledge concerning both cortical structure and the properties of single neurons in the cortex. With the advent of the supercomputer, there has been increased interest in neural network modeling. What is needed is a new approach to an understanding of the mammalian cerebral cortex that will provide a link between the physiological description and the computer model. This book meets that need by combining anatomy, physiology, and modeling to achieve a quantitative description of cortical function. The material is presented didactically, starting with descriptive anatomy and comprehensively examining all aspects of modeling. The book gradually leads the reader from the macroscopic cortical anatomy and standard electrophysiological properties of single neurons to neural network models and synfire chains. The most modern trends in neural network modeling are explored.

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Non-Fiction Science Biology, Life Sciences Life Sciences in General Neurosciences Medicine Pre-Clinical Medicine & Basic Sciences Physiology

Preface	p. xi
Anatomy of the cerebral cortex	p. 1
Macroscopic structure	p. 1
Types of neurons	p. 6
Microscopic organization	p. 18
Embryogenesis of the cerebral cortex	p. 40
Quantitative considerations	p. 49
References	p. 59
The probability for synaptic contact between neurons in the cortex	p. 65
Uniform distribution	p. 66
Nonuniform distribution	p. 79
Examples	p. 82
Generalization	p. 87
References	p. 90
Processing of spikes by neural networks	p. 92
Introduction	p. 92
Transmission of a single spike through a synapse	p. 96
Using the ASG	p. 101
Transmission of a spike train	p. 110
Examples	p. 113
References	p. 117
Relations between membrane potential and the synaptic response curve	p. 118
Periodically firing neurons	p. 118
Randomly firing neurons	p. 120
The autocorrelation function for spike trains	p. 133
Synaptic effects on periodically firing neurons	p. 136
Synaptic effects on randomly firing neurons	p. 139
References	p. 147
Models of neural networks	p. 150
Introduction	p. 150
The point neuron	p. 152
Small random networks	p. 153
Large random networks	p. 160
Recurrent cooperative networks	p. 173
Perceptrons	p. 193
References	p. 203
Transmission through chains of neurons	p. 208
The necessity of diverging/converging connections	p. 208
Existence of diverging/converging connections	p. 212
Transmission through diverging/converging chains	p. 221
Appendix	p. 225
References	p. 226
Synchronous transmission	p. 227
Synchronous gain	p. 227
Synfire chains	p. 232
Stability of transmission in synfire chains	p. 235
Accuracy of timing	p. 241
Conversion from synchronous activity to asynchronous activity, and vice versa	p. 249
Detectability of synfire activity in the cortex	p. 254
References	p. 258
Answers and hints	p. 260
Index	p. 277
Table of Contents provided by Syndetics. All Rights Reserved.

Corticonics

Neural Circuits of the Cerebral Cortex

At a Glance

Paperback

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How to return your order

Defective items

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