Corticonics
Neural Circuits of the Cerebral Cortex
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23 786 Ft
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Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
Not in stock at Prospero.
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Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.
Product details:
- Publisher Cambridge University Press
- Date of Publication 22 February 1991
- ISBN 9780521376174
- Binding Paperback
- No. of pages296 pages
- Size 229x152x17 mm
- Weight 440 g
- Language English 0
Categories
Long description:
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.
MoreTable of Contents:
Preface; 1. Anatomy of the cerebral cortex; 2. The probability for synaptic contact between neurons in the cortex; 3. Processing of spikes by neural networks; 4. Relations between membrane potential and the synaptic response curve; 5. Models of neural networks; 6. Transmission through chains of neurons; 7. Synchronous transmission; Appendix; Index.
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