dc.contributor.author | Boboeva, Vezha | |
dc.contributor.author | Brasselet, Romain | |
dc.contributor.author | Treves, Alessandro | |
dc.date.accessioned | 2019-08-07T11:42:10Z | |
dc.date.available | 2019-08-07T11:42:10Z | |
dc.date.created | 2019-03-05T16:30:58Z | |
dc.date.issued | 2018 | |
dc.identifier.issn | 1099-4300 | |
dc.identifier.uri | http://hdl.handle.net/11250/2607448 | |
dc.description.abstract | A statistical analysis of semantic memory should reflect the complex, multifactorial structure of the relations among its items. Still, a dominant paradigm in the study of semantic memory has been the idea that the mental representation of concepts is structured along a simple branching tree spanned by superordinate and subordinate categories. We propose a generative model of item representation with correlations that overcomes the limitations of a tree structure. The items are generated through “factors” that represent semantic features or real-world attributes. The correlation between items has its source in the extent to which items share such factors and the strength of such factors: if many factors are balanced, correlations are overall low; whereas if a few factors dominate, they become strong. Our model allows for correlations that are neither trivial nor hierarchical, but may reproduce the general spectrum of correlations present in a dataset of nouns. We find that such correlations reduce the storage capacity of a Potts network to a limited extent, so that the number of concepts that can be stored and retrieved in a large, human-scale cortical network may still be of order 107, as originally estimated without correlations. When this storage capacity is exceeded, however, retrieval fails completely only for balanced factors; above a critical degree of imbalance, a phase transition leads to a regime where the network still extracts considerable information about the cued item, even if not recovering its detailed representation: partial categorization seems to emerge spontaneously as a consequence of the dominance of particular factors, rather than being imposed ad hoc. We argue this to be a relevant model of semantic memory resilience in Tulving’s remember/know paradigms. | nb_NO |
dc.language.iso | eng | nb_NO |
dc.publisher | MDPI | nb_NO |
dc.rights | Navngivelse 4.0 Internasjonal | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/deed.no | * |
dc.title | The capacity for correlated semantic memories in the cortex | nb_NO |
dc.type | Journal article | nb_NO |
dc.type | Peer reviewed | nb_NO |
dc.description.version | publishedVersion | nb_NO |
dc.source.volume | 20 | nb_NO |
dc.source.journal | Entropy | nb_NO |
dc.source.issue | 11 | nb_NO |
dc.identifier.doi | 10.3390/e20110824 | |
dc.identifier.cristin | 1682482 | |
dc.description.localcode | c 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). | nb_NO |
cristin.unitcode | 194,65,60,0 | |
cristin.unitname | Kavliinstitutt for nevrovitenskap | |
cristin.ispublished | true | |
cristin.fulltext | original | |
cristin.qualitycode | 1 | |