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Further work could involve implementing the models in living bacteria and searching for naturally occurring cooperative relationships between bacteria that conform to the principles of comparative advantage.
In conclusion, small changes in the spatial scale may result in a clear decrease in the model performance and thus caution should be exercised when implementing the models and their predictions in practice.
These models generate remarkably precise fits to both accuracy and reaction time data with relatively few parameters, and simulations have demonstrated the feasibility of implementing the models in recurrent networks of biophysically realistic neurons [11], [12], [13], [14], [15].
A C program (3s) implementing the models of this paper is available at the web site http://abacus.gene.ucl.ac.uk/software/.ac.uk/software/
Prior to implementing the models, we assessed possible overdispersion of the count outcome data by testing whether the negative binomial dispersion parameter was significantly different from zero.
They enable researchers to study biological systems in the computer without necessarily implementing the models from scratch, thereby saving time, effort and money.
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However, implementing the model required implementing a numerical simulation.
This was done by implementing the model in different FPGAs.
A simulation algorithm is developed for implementing the model.
The architecture of the code implementing the model corresponds to the hierarchical structure of textile materials.
Therefore, we recommend setting ϵ = 0.0001 when implementing the model.
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