{"product_id":"computer-simulation-in-brain-science-hardback-9780521341790","title":"Computer Simulation in Brain Science (Hardback) 9780521341790","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eComputer Simulation in Brain Science\u003c\/font\u003e\u003cbr\u003e\r\n\r\n\r\n\u003c\/p\u003e\n\u003cp\u003e\u003cem\u003eThe volume covers the creation of computer models of neural networks, and their use in the study of neural function, of cognition, memory and vision.\u003c\/em\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003cp\u003e\u003cfont size=\"4\"\u003eRodney M. J. Cotterill (Edited by)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9780521341790, Cambridge University Press\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 1 December 1988\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e584 pages\u003cbr\u003e23.4 x 15.2 x 3.5 cm, 0.95 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cem\u003e\u003cfont size=\"3\"\u003e\"...of interest to those following the neural net field...contains thirty-five different papers by such distinguished authors...\"   Intelligence\u003c\/font\u003e\u003c\/em\u003e\u003c\/p\u003e\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003eThere has been an enormous increase in research activity aimed at elucidating the basis for cortical activity in the brain. Among modern techniques used in this area of scientific endeavour, few have proved as popular as computer simulation. Model neural networks are the subject of intense study, and some remarkable properties have already come to light: these networks are able to discriminate, remember and associate. Professor Cotterill has assembled leading experts in this burgeoning field to produce an exciting review of advances. The volume covers the creation of computer models of neural networks, and their use in the study of neural function, of cognition, memory and vision. The results and future directions explored here will have an important bearing on research into brain function, physiology, psychology, biophysics and artificial intelligence.\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003ePreface\u003cbr\u003e Part I. Neurons and Neural Networks: General Principles: 1. Some recent developments in the theory of neural networks\u003cbr\u003e 2. Representation of sensory information in self-organizating feature maps, and the relation of these maps to distributed memory networks\u003cbr\u003e 3. Excitable dendritic spine clusters: nonlinear synaptic processing\u003cbr\u003e 4. Vistas from tensor network theory: a horizon from reductionalistic neurophilosophy to the geometry of multi-unit recordings\u003cbr\u003e Part II. Synaptic Plasticity, Topological and Temporal Features, and Higher Cortical Processing: 5. Neurons with hysteresis?\u003cbr\u003e 6. On models of short- and long-term memories\u003cbr\u003e 7. Topology, structure, and distance in quasirandom neural networks\u003cbr\u003e 8. A layered metwork model of sensory cortex\u003cbr\u003e 9. Computer simulation of networks of electronic neurons\u003cbr\u003e 10. A possible role for coherence in neural networks\u003cbr\u003e 11. Simulations of the trion model and the search for the code of higher cortical processing\u003cbr\u003e 12. AND-OR logic analogue of neuron networks\u003cbr\u003e Part III. Spin Glass Models and Cellular Automata: 13. Neural networks: learning and forgetting\u003cbr\u003e 14. Learning by error corrections in spin glass models of neural networks\u003cbr\u003e 15. Random complex automata: analogy with spin glasses\u003cbr\u003e 16. The evolution of data processing abilities in competing automata\u003cbr\u003e 17. The inverse problem for neural nets and cellular automata\u003cbr\u003e Part IV. Cyclic Phenomena and Chaos in Neural Networks: 18. A new synaptic modification algorithm and rhythmic oscillation\u003cbr\u003e 19. 'Normal' and 'abnormal' dynamic behaviour during synaptic transmission\u003cbr\u003e 20. Computer simulation studies to deduce the structure and function of the human brain\u003cbr\u003e 21. Access stability of cyclic modes in quasirandom networks of threshold neurons obeying a deterministic synchronous dynamics\u003cbr\u003e 22. Transition to cycling in neural networks\u003cbr\u003e 23. Exemplification of chaotic activity in non-linear neural networks obeying a deterministic dynamics in continuous time\u003cbr\u003e Part V. The Cerebellum and the Hippocampus: 24. Computer simulation of the cerebellar cortex compartment with a special reference to the Purkinje cell dendrite structure\u003cbr\u003e 25. Modeling the electrical behaviour of cortical neurons - simulation of hippocampal pyramidal cells\u003cbr\u003e Part VI. Olfaction, Vision and Cognition: 26. Neural computations and neural systems\u003cbr\u003e 27. development of feature-analyzing cells and their columnar organisation in a layered self-adaptive network\u003cbr\u003e 28. Reafferent stimulation: a mechanism for late vision and cognitive processes\u003cbr\u003e 29. Mathematical model and computer simulation of visual recognition in retina and tectum opticum of amphibians\u003cbr\u003e 30. Pattern recognition with modifiable neuronal interactions\u003cbr\u003e 31. Texture description in the time domain\u003cbr\u003e Part VII. Applications to Experiment, Communication and Control: 32. Computer-aid design of neurobiological experiments\u003cbr\u003e 33. Simulation of the prolactin level fluctuations during pseudopregnancy in rats\u003cbr\u003e 34. Applications of biological intelligence to command, control and communications\u003cbr\u003e 35. Josin's computational system for use as a research tool\u003cbr\u003e Author index\u003cbr\u003e Subject index.\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Neural networks \u0026amp; fuzzy systems [\u003ca title=\"See our other books on Neural networks \u0026amp; fuzzy systems\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Neural%20networks%20\u0026amp;%20fuzzy%20systems%20%5BUYQN%5D%22\"\u003eUYQN\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Cambridge University Press","offers":[{"title":"Default Title","offer_id":46007106699544,"sku":"9780521341790","price":110.89,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/products\/9780521341790i_32b365fa-3b39-4513-b596-e9b0db694839.jpg?v=1691375472","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/computer-simulation-in-brain-science-hardback-9780521341790","provider":"Freshly Printed Books","version":"1.0","type":"link"}