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Holographic String Encoding
Author(s) -
Hannagan Thomas,
Dupoux Emmanuel,
Christophe Anne
Publication year - 2010
Publication title -
cognitive science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.498
H-Index - 114
eISSN - 1551-6709
pISSN - 0364-0213
DOI - 10.1111/j.1551-6709.2010.01149.x
Subject(s) - holography , computer science , encoding (memory) , string (physics) , coding (social sciences) , benchmark (surveying) , position (finance) , theoretical computer science , holographic principle , artificial intelligence , theoretical physics , mathematics , physics , optics , statistics , geodesy , finance , economics , geography
In this article, we apply a special case of holographic representations to letter position coding. We translate different well‐known schemes into this format, which uses distributed representations and supports constituent structure. We show that in addition to these brain‐like characteristics, performances on a standard benchmark of behavioral effects are improved in the holographic format relative to the standard localist one. This notably occurs because of emerging properties in holographic codes, like transposition and edge effects, for which we give formal demonstrations. Finally, we outline the limits of the approach as well as its possible future extensions.