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

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single node in an ordered sequence <strong>of</strong> input nodes. In several studies by different authors and<br />

model architectures it was observed that empirical data from different numerical tasks was<br />

associated reliably with <strong>the</strong> modelled data (<strong>number</strong> comparison: e.g., Dehaene & Changeux,<br />

1993; Zorzi & Butterworth, 1999; <strong>number</strong> naming: e.g., Grossberg & Repin, 2003; Verguts et<br />

al., 2005; <strong>number</strong> priming: Verguts, Stevens, & Fias, 2005; Zorzi, Stoianov, & Umiltà, 2005).<br />

However, almost all <strong>of</strong> <strong>the</strong>se models were focused on small <strong>number</strong>s and numerosities up to<br />

15 (Verguts et al., 2005; up to 5 in Dehaene & Changeux, 1993; 9 in Zorzi & Butterworth,<br />

1999; but see <strong>the</strong> discussion <strong>of</strong> <strong>the</strong> Grossberg & Repin, 2003 model below). Moreover,<br />

considering <strong>the</strong> relevant literature revealed that most <strong>of</strong> <strong>the</strong> papers on computational models<br />

<strong>of</strong> <strong>number</strong> representation were concerned with questions regarding <strong>the</strong> actual coding<br />

characteristics upon <strong>the</strong> assumed and implemented <strong>number</strong> line representation. Recently,<br />

summation or numerosity coding (i.e., representing magnitude by <strong>the</strong> <strong>number</strong> <strong>of</strong> nodes<br />

activated, e.g., Zorzi & Butterworth, 1999) and <strong>place</strong> coding (i.e., representing a specific<br />

<strong>number</strong> by <strong>the</strong> activation <strong>of</strong> a node actually reflecting its position on <strong>the</strong> <strong>number</strong> line as well<br />

as <strong>the</strong> preceding and subsequent one, e.g., Verguts & Fias, 2004; Verguts et al., 2005) were<br />

evaluated. Nei<strong>the</strong>r <strong>of</strong> <strong>the</strong>se coding schemes differentiates between <strong>the</strong> representations <strong>of</strong><br />

single-digit and two-digit <strong>number</strong>s: in <strong>the</strong> first case all nodes along <strong>the</strong> <strong>number</strong> line up to <strong>the</strong><br />

i th node are activated to code magnitude i and in <strong>the</strong> latter case only <strong>the</strong> i th node is activated to<br />

do so. In both cases no differentiation between e.g., tens and units for two-digit <strong>number</strong>s is<br />

assumed (but see Grossberg & Repin, 2003). Taken toge<strong>the</strong>r, to date computational modelling<br />

was primarily employed to clarify coding and scaling aspects <strong>of</strong> numerical magnitude along<br />

<strong>the</strong> mental <strong>number</strong> line ra<strong>the</strong>r than distinguishing between different processing models (see<br />

Verguts et al., 2005 for a more detailed discussion <strong>of</strong> this point).<br />

However, <strong>the</strong> model by Grossberg and Repin (2003) presents an exception to <strong>the</strong>se<br />

considerations. In this model, representations <strong>of</strong> single- and multi-digit <strong>number</strong>s are<br />

discerned. <strong>The</strong> authors assume multi-digit <strong>number</strong>s to be represented by an interaction <strong>of</strong> <strong>the</strong><br />

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