Assigning meaning to data: Using sparse distributed memory for multilevel cognitive tasks

Assigning meaning to data: Using sparse distributed memory for multilevel cognitive tasks

It is shown how a single homogeneous SDM memory can be organized to link between low level information and high level correlations. To illustrate this, we report on experiments run in a unified memory retrieval system, that combined pattern recognition of individual English characters followed by th...

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Veröffentlicht in:Neurocomputing (Amsterdam) 1997, Vol.14 (1), p.15-39
Hauptverfasser: Manevitz, Larry M., Zemach, Yigal
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Sprache:eng
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Associative memory
High-order-correlation
Sparse distributed memory
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container_title Neurocomputing (Amsterdam)
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creator Manevitz, Larry M.
Zemach, Yigal
description It is shown how a single homogeneous SDM memory can be organized to link between low level information and high level correlations. To illustrate this, we report on experiments run in a unified memory retrieval system, that combined pattern recognition of individual English characters followed by the assignment of ‘meaning’ to a string by giving it a Hebrew translation. Symmetry allows the reverse action on the same memory (i.e. Hebrew character identification followed by translation of a string to English).
doi_str_mv 10.1016/0925-2312(95)00130-1
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subjects Associative memory
High-order-correlation
Sparse distributed memory
title Assigning meaning to data: Using sparse distributed memory for multilevel cognitive tasks
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