M. J. Cotterill (ed.)

Computer Simulation in Brain Science

Herausgeber: Cotterill, Rodney M. J.

• Gebundenes Buch

Produktbeschreibung

There has recently 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 now 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 many of the leading experts in this burgeoning field to produce an exciting review of advances to date. 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.

Table of contents:
Part I. Neurons and Neural Networks; Part II. Synaptic Plasticity, Topological and Temporal Features, and Higher Cortical Processing; Part III. Spin Glass Models and Cellular Automata; Part IV. Cyclic Phenomena and Chaos in Neural Networks; Part V. The Cerebellum and the Hippocampus; Part VI. Olfaction, Vision and Cognition; Part VII. Applications to Experiment, Communication and Control.

Produktdetails

• Verlag: Cambridge University Press
• Seitenzahl: 584
• Erscheinungstermin: 27. November 2003
• Englisch
• Abmessung: 235mm x 157mm x 39mm
• Gewicht: 1089g
• ISBN-13: 9780521341790
• ISBN-10: 0521341795
• Artikelnr.: 21980332

Inhaltsangabe

Preface; Part I. Neurons and Neural Networks: General Principles: 1. Some
recent developments in the theory of neural networks; 2. Representation of
sensory information in self-organizating feature maps, and the relation of
these maps to distributed memory networks; 3. Excitable dendritic spine
clusters: nonlinear synaptic processing; 4. Vistas from tensor network
theory: a horizon from reductionalistic neurophilosophy to the geometry of
multi-unit recordings; Part II. Synaptic Plasticity, Topological and
Temporal Features, and Higher Cortical Processing: 5. Neurons with
hysteresis?; 6. On models of short- and long-term memories; 7. Topology,
structure, and distance in quasirandom neural networks; 8. A layered
metwork model of sensory cortex; 9. Computer simulation of networks of
electronic neurons; 10. A possible role for coherence in neural networks;
11. Simulations of the trion model and the search for the code of higher
cortical processing; 12. AND-OR logic analogue of neuron networks; Part
III. Spin Glass Models and Cellular Automata: 13. Neural networks: learning
and forgetting; 14. Learning by error corrections in spin glass models of
neural networks; 15. Random complex automata: analogy with spin glasses;
16. The evolution of data processing abilities in competing automata; 17.
The inverse problem for neural nets and cellular automata; Part IV. Cyclic
Phenomena and Chaos in Neural Networks: 18. A new synaptic modification
algorithm and rhythmic oscillation; 19. 'Normal' and 'abnormal' dynamic
behaviour during synaptic transmission; 20. Computer simulation studies to
deduce the structure and function of the human brain; 21. Access stability
of cyclic modes in quasirandom networks of threshold neurons obeying a
deterministic synchronous dynamics; 22. Transition to cycling in neural
networks; 23. Exemplification of chaotic activity in non-linear neural
networks obeying a deterministic dynamics in continuous time; 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; 25. Modeling the electrical behaviour of cortical neurons -
simulation of hippocampal pyramidal cells; Part VI. Olfaction, Vision and
Cognition: 26. Neural computations and neural systems; 27. development of
feature-analyzing cells and their columnar organisation in a layered
self-adaptive network; 28. Reafferent stimulation: a mechanism for late
vision and cognitive processes; 29. Mathematical model and computer
simulation of visual recognition in retina and tectum opticum of
amphibians; 30. Pattern recognition with modifiable neuronal interactions;
31. Texture description in the time domain; Part VII. Applications to
Experiment, Communication and Control: 32. Computer-aid design of
neurobiological experiments; 33. Simulation of the prolactin level
fluctuations during pseudopregnancy in rats; 34. Applications of biological
intelligence to command, control and communications; 35. Josin's
computational system for use as a research tool; Author index; Subject
index.