Decoding the Formation of New Semantics: MVPA Investigation of Rapid Neocortical Plasticity during Associative Encoding through Fast Mapping

Neocortical structures typically only support slow acquisition of declarative memory; however, learning through fast mapping may facilitate rapid learning-induced cortical plasticity and hippocampal-independent integration of novel associations into existing semantic networks. During fast mapping th...

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Main Authors: Tali Atir-Sharon, Asaf Gilboa, Hananel Hazan, Ester Koilis, Larry M. Manevitz
Format: Article
Language:English
Published: Hindawi Limited 2015-01-01
Series:Neural Plasticity
Online Access:http://dx.doi.org/10.1155/2015/804385
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spelling doaj-846b54e3cd744cb0a041f20b8556b2f12020-11-24T20:54:10ZengHindawi LimitedNeural Plasticity2090-59041687-54432015-01-01201510.1155/2015/804385804385Decoding the Formation of New Semantics: MVPA Investigation of Rapid Neocortical Plasticity during Associative Encoding through Fast MappingTali Atir-Sharon0Asaf Gilboa1Hananel Hazan2Ester Koilis3Larry M. Manevitz4Psychology Department, University of Haifa, 3498838 Haifa, IsraelThe Rotman Research Institute at Baycrest, Toronto, ON, M6A 2E1, CanadaComputer Science Department, University of Haifa, 3498838 Haifa, IsraelComputer Science Department, University of Haifa, 3498838 Haifa, IsraelComputer Science Department, University of Haifa, 3498838 Haifa, IsraelNeocortical structures typically only support slow acquisition of declarative memory; however, learning through fast mapping may facilitate rapid learning-induced cortical plasticity and hippocampal-independent integration of novel associations into existing semantic networks. During fast mapping the meaning of new words and concepts is inferred, and durable novel associations are incidentally formed, a process thought to support early childhood’s exuberant learning. The anterior temporal lobe, a cortical semantic memory hub, may critically support such learning. We investigated encoding of semantic associations through fast mapping using fMRI and multivoxel pattern analysis. Subsequent memory performance following fast mapping was more efficiently predicted using anterior temporal lobe than hippocampal voxels, while standard explicit encoding was best predicted by hippocampal activity. Searchlight algorithms revealed additional activity patterns that predicted successful fast mapping semantic learning located in lateral occipitotemporal and parietotemporal neocortex and ventrolateral prefrontal cortex. By contrast, successful explicit encoding could be classified by activity in medial and dorsolateral prefrontal and parahippocampal cortices. We propose that fast mapping promotes incidental rapid integration of new associations into existing neocortical semantic networks by activating related, nonoverlapping conceptual knowledge. In healthy adults, this is better captured by unique anterior and lateral temporal lobe activity patterns, while hippocampal involvement is less predictive of this kind of learning.http://dx.doi.org/10.1155/2015/804385
collection DOAJ
language English
format Article
sources DOAJ
author Tali Atir-Sharon
Asaf Gilboa
Hananel Hazan
Ester Koilis
Larry M. Manevitz
spellingShingle Tali Atir-Sharon
Asaf Gilboa
Hananel Hazan
Ester Koilis
Larry M. Manevitz
Decoding the Formation of New Semantics: MVPA Investigation of Rapid Neocortical Plasticity during Associative Encoding through Fast Mapping
Neural Plasticity
author_facet Tali Atir-Sharon
Asaf Gilboa
Hananel Hazan
Ester Koilis
Larry M. Manevitz
author_sort Tali Atir-Sharon
title Decoding the Formation of New Semantics: MVPA Investigation of Rapid Neocortical Plasticity during Associative Encoding through Fast Mapping
title_short Decoding the Formation of New Semantics: MVPA Investigation of Rapid Neocortical Plasticity during Associative Encoding through Fast Mapping
title_full Decoding the Formation of New Semantics: MVPA Investigation of Rapid Neocortical Plasticity during Associative Encoding through Fast Mapping
title_fullStr Decoding the Formation of New Semantics: MVPA Investigation of Rapid Neocortical Plasticity during Associative Encoding through Fast Mapping
title_full_unstemmed Decoding the Formation of New Semantics: MVPA Investigation of Rapid Neocortical Plasticity during Associative Encoding through Fast Mapping
title_sort decoding the formation of new semantics: mvpa investigation of rapid neocortical plasticity during associative encoding through fast mapping
publisher Hindawi Limited
series Neural Plasticity
issn 2090-5904
1687-5443
publishDate 2015-01-01
description Neocortical structures typically only support slow acquisition of declarative memory; however, learning through fast mapping may facilitate rapid learning-induced cortical plasticity and hippocampal-independent integration of novel associations into existing semantic networks. During fast mapping the meaning of new words and concepts is inferred, and durable novel associations are incidentally formed, a process thought to support early childhood’s exuberant learning. The anterior temporal lobe, a cortical semantic memory hub, may critically support such learning. We investigated encoding of semantic associations through fast mapping using fMRI and multivoxel pattern analysis. Subsequent memory performance following fast mapping was more efficiently predicted using anterior temporal lobe than hippocampal voxels, while standard explicit encoding was best predicted by hippocampal activity. Searchlight algorithms revealed additional activity patterns that predicted successful fast mapping semantic learning located in lateral occipitotemporal and parietotemporal neocortex and ventrolateral prefrontal cortex. By contrast, successful explicit encoding could be classified by activity in medial and dorsolateral prefrontal and parahippocampal cortices. We propose that fast mapping promotes incidental rapid integration of new associations into existing neocortical semantic networks by activating related, nonoverlapping conceptual knowledge. In healthy adults, this is better captured by unique anterior and lateral temporal lobe activity patterns, while hippocampal involvement is less predictive of this kind of learning.
url http://dx.doi.org/10.1155/2015/804385
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