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Abstract:
We present a model of binding of relationship information in a
spatial domain (e.g., square above triangle) that uses low-order
coarse-coded
conjunctive representations instead of more popular temporal
synchrony mechanisms. Supporters of temporal synchrony argue that
conjunctive representations lack both efficiency (i.e.,
combinatorial numbers of units are required) and systematicity
(i.e., the resulting representations are overly specific and thus
do not support generalization to novel exemplars). To counter
these claims, we show that our model: a) uses far fewer hidden
units than the number of conjunctions represented, by using
coarse-coded, distributed representations where each unit has a
broad tuning curve through high-dimensional conjunction space,
and b) is capable of considerable generalization to novel
inputs.
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