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The influence of the place-value structure of the Arabic number ...

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egression model evaluating <strong>the</strong> data produced by <strong>the</strong> hybrid model, but not in <strong>the</strong> regression<br />

model for <strong>the</strong> strictly decomposed data as <strong>the</strong> latter model does not incorporate a<br />

representation <strong>of</strong> overall magnitude. Finally, following Occam’s razor <strong>the</strong> hybrid model<br />

should only be chosen as <strong>the</strong> model predicting <strong>the</strong> empirical data in <strong>the</strong> best way when its<br />

performance is found to be reliably superior to <strong>the</strong> performance <strong>of</strong> <strong>the</strong> strictly decomposed<br />

model which is <strong>the</strong> more parsimonious one.<br />

In <strong>the</strong> next section <strong>the</strong> architecture and <strong>the</strong> implementation <strong>of</strong> <strong>the</strong> three models will be<br />

described before actually reporting <strong>the</strong> models’ performance in two-digit <strong>number</strong> comparison.<br />

METHODS<br />

Model description<br />

According to <strong>the</strong> model assumptions on <strong>the</strong> mental representation <strong>of</strong> two-digit <strong>number</strong>s<br />

put forward to account for <strong>the</strong> empirical data, three different neural network models were<br />

programmed: (i) a holistic model in which to-be-compared two-digit <strong>number</strong>s (i.e., indicated<br />

as #1 and #2) are represented as integrated entities (see Figure 1, Panel A), (ii) a strictly<br />

decomposed model with two distinct representations <strong>of</strong> tens and units (see Figure 1, Panel B)<br />

and (iii) a hybrid model in which <strong>the</strong> characteristics <strong>of</strong> <strong>the</strong> former two models are combined<br />

so that separate representations <strong>of</strong> tens and units operate in parallel with a holistic<br />

representation <strong>of</strong> overall magnitude <strong>of</strong> <strong>the</strong> respective <strong>number</strong> (see Figure 1, Panel C). <strong>The</strong><br />

neural networks reflecting each <strong>of</strong> <strong>the</strong>se models were programmed using MatLab 7.4.0.<br />

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