On the design of neural networks in the brain by genetic evolution

Progress in Neurobiology

Volumn 61, Issue 6, 2000, Pages 557-579

  Rolls, Edmund T ^a   Stringer, Simon M ^a  

^a UNIVERSITY OF OXFORD   (United Kingdom)

Author keywords

Autoassociation; Cerebral cortex; Competitive networks; Genetic algorithm; Natural selection; Pattern association

Indexed keywords

ALGORITHM; BRAIN; COMPUTER SIMULATION; EVOLUTION; GENETIC SELECTION; HUMAN; NERVE CELL NETWORK; NONHUMAN; PRIORITY JOURNAL; REVIEW;

ALGORITHMS; ANIMALS; BRAIN; COMPUTER SIMULATION; EVOLUTION, MOLECULAR; GENES; MODELS, NEUROLOGICAL; NERVE NET;

EID: 0034664164     PISSN: 03010082     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0301-0082(99)00066-0     Document Type: Review

References (37)

1. Ackley D.H. A Connectionist Machine for Genetic Hill-Climbing. 1987;Kluwer Academic Publishers, Dodrecht.
2. Battaglia F., Treves A. Rapid stable retrieval in high-capacity realistic associative memories. Neural Computation. 10:1998;431-450.
3. Bienenstock E.L., Cooper L.N., Munro P.W. Theory for the development of neuron selectivity: orientation specificity and binocular interaction in visual cortex. Journal of Neuroscience. 2:1982;32-48.
4. Braitenberg V., Schuz A. Anatomy of the Cortex. 1991;Springer-Verlag, Berlin.
5. Buhl E.H., Halasy K., Somogyi P. Diverse sources of hippocampal unitary inhibitory postsynaptic potentials and the number of synaptic release sites. Nature. 368:1994;823-828.
6. Buonomano D.V., Merzenich M.M. Cortical plasticity: from synapses to maps. Annual Review of Neuroscience. 21:1998;149-186.
7. Douglas R., Martin K.A.C. Neocortex. Shepherd G. The Synaptic Organisation of the Brain. 3rd ed :1990;389-438 Oxford University Press, New York, Oxford. (Chapter 12).
8. Floreano D., Mondada F. Automatic creation of an autonomous agent: genetic evolution of a neural-network driven robot. Cliff D., Husbands P., Meyer J., Wilson S. From Animals to Animats 3. Proceedings of the Third International Conference on Simulation of Adaptive Behaviour. 1994;MIT Press, Cambridge, MA.
9. Földiák P. Learning invariance from transformation sequences. Neural Computation. 3:1991;194-200.
10. Goldberg D.E. Genetic Algorithms in Search, Optimization and Machine Learning. 1989;Addison-Wesley, Reading.
11. Gracias N., Pereira H., Lima J.A., Rosa A. Gaia: an artificial life environment for ecological systems simulation. Langton C.G., Shimohara K. Artificial Life V. Proceedings of the Fifth International Workshop on the Synthesis and Simulation of Living Systems. 1996;MIT Press, Cambridge, MA.
12. Hertz J., Krogh A., Palmer R.G. Introduction to the Theory of Neural Computation, Santa Fe Institute. 1990;Addison-Wesley, Reading, MA.
13. Holland J.H. Adaptation in Natural and Artificial Systems. 1975;The University of Michigan Press.
14. Hoshino T., Tsuchida M. Manifestation of neutral genes in evolving robot navigation. Artificial Life V: Proceedings of the Fifth International Workshop on the Synthesis and Simulation of Living Systems :1996;MIT Press, Cambridge, MA.
15. Huber S.A., Mallot H.A., Bülthoff H.H. Evolution of the sensorimotor control in an autonomous agent. Maes P., Mataric M.J., Meyer J., Pollack J., Wilson S.W. From Animals to Animats 4, Proceedings of the Fourth International Conference on Simulation of Adaptive Behaviour. 1996;MIT Press, Cambridge, MA.
16. Husbands P., Smith T., Jakobi N., O'Shea M. Better living through chemistry: evolving gasnets for robot control. Connection Science. 10:(4):1998;1-40.
17. Koch C. Biophysics of Computation. 1999;Oxford University Press, Oxford.
18. Kohonen T. Self-Organizing Maps. 1995;Springer-Verlag, Berlin.
19. Kuwana Y., Shimoyama I., Sayama Y., Miura H. A robot that behaves like a silkworm moth in the pheromone stream. Langton C.G., Shimohara K. Artificial Life V: Proceedings of the Fifth International Workshop on the Synthesis and Simulation of Living Systems. 1996;MIT Press, Cambridge, MA.
20. Lund H.H., Parisi D. Generalist and specialist behaviour due to individual energy extracting abilities. Langton C.G., Shimohara K. Artificial Life V: Proceedings of the Fifth International Workshop on the Synthesis and Simulation of Living Systems. 1996;MIT Press, Cambridge, MA.
21. Maynard Smith J., Szathmary E. The Origins of Life. 1999;Oxford University Press, Oxford.
22. McClelland J.L., McNaughton B.L., O'Reilly R.C. Why there are complementary learning systems in the hippocampus and neocortex: insights from the successes and failures of connectionist models of learning and memory. Psychological Review. 102:1995;419-457.
23. Nolfi S., Elman J., Parisi D. Learning and evolution in neural networks. Adaptive Behaviour. 3:1994;5-28.
24. Panzeri, S., Rolls, E.T., Battaglia, F., Lavis, R., 2000. Speed of information retrieval in multilayer networks of integrate-and-fire neurons (submitted).
25. Peters A., Jones E.G. Cerebral Cortex. vol. 1:1984;Plenum Press, New York.
26. Rolls E.T. Neurophysiological mechanisms underlying face processing within and beyond the temporal cortical areas. Philosophical Transactions of the Royal Society London [B]. 335:1992;11-21.
27. Rolls E.T. The Brain and Emotion. 1999;Oxford University Press, Oxford.
28. Rolls, E.T., Milward, T., 2000. A model of invariant object recognition in the visual system: learning rules, activation functions, lateral inhibition and information-based performance measures. Neural Compulation (in press).
29. Rolls, E.T., Stringer, S.M., 2000. Invariant object recognition in the visual system with error correction and temporal difference learning (submitted for publication).
30. Rolls E.T., Treves A. Neural Networks and Brain Function. 1998;Oxford University Press, Oxford.
31. Shepherd G.M. The Synpatic Organisation of the Brain. 3rd ed :1990;Oxford University Press, Oxford.
32. Somogyi P., Tamas G., Lujan R., Buhl E.H. Salient features of synaptic organisation in the cerebral cortex. Brain Research Reviews. 26:1998;113-135.
33. Treves A. Mean-field analysis of neuronal spike dynamics. Network. 4:1993;259-284.
34. Ullman S. High-Level Vision. 1996;MIT Press, Cambridge, MA.
35. Vonk E., Jain L.C., Johnson R.P. Automatic Generation of Neural Network Architecture Using Evolutionary Computation. 1997;World Scientific, Singapore.
36. Wallis G., Rolls E.T. A model of invariant object recognition in the visual system. Progress in Neurobiology. 51:1997;167-194.
37. Wang J.H., Ko G.Y., Kelly P.T. Cellular and molecular bases of memory: synaptic and neuronal plasticity. Journal of Clinical Neurophysiology. 14:1997;264-293.