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We investigate how the strength of entorhinal cortical inputs during training affects learned performance using computer simulations of a minimal computational model of hippocampal region CA3.
The topological complexity is a measure of the size of the minimal computational model (typically a finite automaton of some variety) in the minimal formal language in which it has a finite model.
In this section we present a minimal computational model that agrees fairly well with our experimental results.
In this study we set out to develop a minimal computational model of Ca2+-signalling in snail neurones.
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The approach outlined is straightforward to implement, requiring minimal computational effort once the model parameters have been identified.
However, we show that our methodology allows us to preserve the experimental fit/validation of the model with minimal computational effort.
In conjunction with small-scale experiments on liquid-fueled fires it is shown that a modified one-dimensional model, requiring minimal computational effort, may be used to describe fire-front histories and the temperature profile of the fire plume.
The main advantage of the method is to include a micromixing model based on a Lagrangian frame where chemical reactions are treated without modelling and which requires minimal computational resources.
The analysis reveals that PCE provides accurate results at minimal computational cost for the multiscale catalytic reactor model under the conditions considered in this work.
Using a coarse on-lattice model allows the simulation of a large domain with minimal computational effort.
It is concluded that the infinite-plate model can be a useful design tool, presenting minimal computational demands.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com