A model of neural processing is proposed which is able to incorporate a great deal of neurophysiological detail, including effects associated with the mechanics of postsynaptic summation and cell surface geometry and is capable of hardware realisation as a 'probabilistic random access memory' (pRAM)
The general stochastic model of nucleotide substitution
✍ Scribed by F. Rodríguez; J.L. Oliver; A. Marín; J.R. Medina
- Publisher
- Elsevier Science
- Year
- 1990
- Tongue
- English
- Weight
- 715 KB
- Volume
- 142
- Category
- Article
- ISSN
- 0022-5193
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✦ Synopsis
DNA sequence evolution through nucleotide substitution may be assimilated to a stationary Markov process. The fundamental equations of the general model, with 12 independent substitution parameters, are used to obtain a formula which corrects the effect of multiple and parallel substitutions on the measure of evolutionary divergence between two homologous sequences. We show that only reversible models, with six independent parameters, allow the calculation of the substitution rates. Simulation experiments on DNA sequence evolution through nucleotide substitution call into question the effectiveness of the general model (and of any other more detailed description); nevertheless, the general model results are slightly superior to any of its particular cases.
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Knowledge of the pattern of nucleotide substitution is important both to our understanding of molecular sequence evolution and to reliable estimation of phylogenetic relationships. The method of parsimony analysis, which has been used to estimate substitution patterns in real sequences, has serious