Computer Simulation in Brain Science

Herausgeber: Cotterill, Rodney M. J.

• Broschiertes Buch

Produktbeschreibung

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.

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Produktdetails

• Verlag: Cambridge University Press
• Seitenzahl: 584
• Erscheinungstermin: 29. Januar 2008
• Englisch
• Abmessung: 229mm x 152mm x 34mm
• Gewicht: 936g
• ISBN-13: 9780521061186
• ISBN-10: 0521061180
• Artikelnr.: 23800591

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.