Buch, Englisch, 294 Seiten, Format (B × H): 152 mm x 229 mm, Gewicht: 484 g
Neural Circuits of the Cerebral Cortex
Buch, Englisch, 294 Seiten, Format (B × H): 152 mm x 229 mm, Gewicht: 484 g
ISBN: 978-0-521-37617-4
Verlag: Cambridge University Press
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.
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Neuronale Netzwerke
- Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Klinische und Innere Medizin Neurologie, Klinische Neurowissenschaft
- Interdisziplinäres Wissenschaften Wissenschaften Interdisziplinär Neurowissenschaften, Kognitionswissenschaft
- Naturwissenschaften Biowissenschaften Biowissenschaften Neurobiologie, Verhaltensbiologie
Weitere Infos & Material
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.
