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Abstract: This paper reports on a simple neurogenesis model that is combined with evolutionary computation. Since the integration of an evolutionary process with neural networks is such an exciting field of study, with the promise of discovering new computational models and, possibly, providing novel biological insights, much research has been conducted in this area. However, only a few studies have incorporated a development stage, and none have modeled metabolism and other chemical reactions in a... (Update)
Context of citations to this paper: More
...with about 10,000 neurons. A direct encoding would require approximately 50 million bits per chromosome. biologically detailed simulation [16]. See Lucas [17] 18] 19] 20] 21] for more examples of indirect encoding schemes and general discussion. II. Direct Encoding In...
.... in which the network structure and weights are allowed to evolve, and followed this up with a more biologically detailed simulation [18]. Even in [17] however, despite claims that all details of the network are allowed to evolve, this is not quite true, since the...
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BibTeX entry: (Update)
Hiroaki Kitano. A simple model of neurogenesis and cell differentiation based on evolutionary large-scale chaos. Artificial Life, 2:79--99, 1995. http://citeseer.ist.psu.edu/kitano95simple.html More
@article{ kitano94simple,
author = "Hiroaki Kitano",
title = "A Simple Model of Neurogenesis and Cell Differentiation Based on Evolutionary Large-Scale Chaos",
journal = "Artificial Life",
volume = "2",
number = "1",
pages = "79-99",
year = "1994",
url = "citeseer.ist.psu.edu/kitano95simple.html" }
Citations (may not include all citations):158 Designing Neural Networks Using Genetic Algorithms with Grap.. (context) - Kitano - 1990
132 Mathematical Models for Cellular Interactions in Development (context) - Lindenmayer - 1968
120 Designing Neural Networks using Genetic Algorithms (context) - Miller, Todd et al. - 1989
64 Self-organized criticality (context) - Bak, Tang et al. - 1988
61 Towards the Genetic Synthesis of Neural Networks (context) - Harp, Samad et al. - 1989
34 Cellular Encoding of Genetic Neural Networks (context) - Gruau - 1992
32 A Simulation Testbed for the Study of Multicellular Developm.. - Fleischer, Barr - 1994
16 Developmental Systems without Cellular interactions, their L.. (context) - Lindenmayer - 1971
13 Optimizing Neural Networks Using Faster, More Accurate Genet.. (context) - Whitely, Hanson - 1989
10 Clustering, Coding, Switching, Hierarchical Ordering, and Co.. (context) - Kaneko - 1990
8 Evolution of Metabolism for Morphogenesis (context) - Kitano - 1994
8 Chaos as a Source of Complexity and Diversity in Evolution (context) - Kaneko - 1994
5 Regressive Events in Neurogenesis (context) - Cowan, Fawcett et al. - 1981
5 The Embryonic Cell Lineage of the Nematode Caenorhabditis el.. (context) - Sulston - 1983
4 Selective stabilization of developing synapses as a mechanis.. (context) - Changeux, Danchin - 1976
4 Evolutionary Systems for Brain Communications --- Towards an.. (context) - Shimohara - 1994
3 Overview of coupled map lattices (context) - Kaneko - 1992
2 Relevance of Clustering to Biological Networks (context) - Kaneko - 1994
1 Empirical Studies on the Speed of Converence of Neural Netwo.. (context) - Kitano - 1990
1 Collaspe of Tori and Genesis of Chaos in Dissipative Systems (context) - Kaneko - 1986
1 Cell Division, Differentiation and Dynamic Clustering (context) - Kaneko, Yomo - 1994
1 Neurogenetic Learning: An Intergrated Model of Designing and.. (context) - Kitano - 1994
1 Modulation of cell adhesion during induction, histogenesis, .. (context) - Edelman - 1984
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