Computer Simulation in Brain Science
$66.99 (C)
- Editor: Rodney M. J. Cotterill
- Date Published: April 2008
- availability: Available
- format: Paperback
- isbn: 9780521061186
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Forty-three of the leading experts in this burgeoning field have assembled to produce an exciting review of the many advances to date. The volume reviews the creation of computer models 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.
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"...an important contribution to research into brain function, physiology, psychology, biophysics, and artificial intelligence." Sci Tech Book News
See more reviews"...of interest to those following the neural net field...contains thirty-five different papers by such distinguished authors..." Intelligence
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×Product details
- Date Published: April 2008
- format: Paperback
- isbn: 9780521061186
- length: 584 pages
- dimensions: 229 x 152 x 33 mm
- weight: 0.85kg
- availability: Available
Table of Contents
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.
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