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Abstract: INTRODUCTION
Neural networks are computational models of nervous systems. However, organisms do not possess only nervous
systems and other phenotypic traits but also genetic information stored in the nucleus of their cells (genotype). The
nervous system is part of the phenotype which is derived from this genotype through a process called development.
The information specified in the genotype determines aspects of the nervous system which are expressed as innate
behavioral tendencies and... (Update)
Context of citations to this paper: More
...of A elements captured minus the number of B elements touched. In simulations using ecological neural networks #Parisi, Cecconi, and Nol#, 1990# the #tness formula is important not only as a criterion measure that networks should maximize evolutionarily but because it...
...for the grammar encoding as it is for the direct encoding. 4.3. 2 Nol and Parisi In the earliest model presented by Nol and Parisi (1992, 1994), the neurons are encoded with coordinates in a two dimensional space. The mapping from genes to neurons is direct in a sense,...
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BibTeX entry: (Update)
Nolfi, S. and Parisi, D. 1995. Genotypes for neural networks. In Arbib, M. A., editor, The Handbook of Brain Theory and Neural Networks. MIT Press, Cambridge, MA. http://citeseer.ist.psu.edu/nolfi95genotypes.html More
@misc{ nolfi95genotypes,
author = "S. Nolfi and D. Parisi",
title = "Genotypes for neural networks",
text = "Nolfi, S. and Parisi, D. 1995. Genotypes for neural networks. In Arbib,
M. A., editor, The Handbook of Brain Theory and Neural Networks. MIT Press,
Cambridge, MA.",
year = "1995",
url = "citeseer.ist.psu.edu/nolfi95genotypes.html" }
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