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Computer Simulation in Brain Science
[2010-01-20]

Computer Simulation in Brain Science

Edited by Rodney M. J. Cotterill

索书号:Q426-35/C847

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.