» Articles » PMID: 30659237

Temporal Dynamics of Access to Amodal Representations of Category-level Conceptual Information

Overview
Journal Sci Rep
Specialty Science
Date 2019 Jan 20
PMID 30659237
Citations 7
Authors
Affiliations
Soon will be listed here.
Abstract

Categories describe semantic divisions between classes of objects and category-based models are widely used for investigation of the conceptual system. One critical issue in this endeavour is the isolation of conceptual from perceptual contributions to category-differences. An unambiguous way to address this confound is combining multiple input-modalities. To this end, we showed participants person/place stimuli using name and picture modalities. Using multivariate methods, we searched for category-sensitive neural patterns shared across input-modalities and thus independent from perceptual properties. The millisecond temporal resolution of magnetoencephalography (MEG) allowed us to consider the precise timing of conceptual access and, by confronting latencies between the two modalities ("time generalization"), how latencies of processing depends on the input-modality. Our results identified category-sensitive conceptual representations common between modalities at three stages and that conceptual access for words was delayed by about 90 msec with respect to pictures. We also show that for pictures, the first conceptual pattern of activity (shared between both words and pictures) occurs as early as 110 msec. Collectively, our results indicated that conceptual access at the category-level is a multistage process and that different delays in access across these two input-modalities determine when these representations are activated.

Citing Articles

Family lexicon: Using language models to encode memories of personally familiar and famous people and places in the brain.

Bruera A, Poesio M PLoS One. 2024; 19(11):e0291099.

PMID: 39576771 PMC: 11584084. DOI: 10.1371/journal.pone.0291099.


Cortical time-course of evidence accumulation during semantic processing.

Ghazaryan G, van Vliet M, Lammi L, Lindh-Knuutila T, Kivisaari S, Hulten A Commun Biol. 2023; 6(1):1242.

PMID: 38066098 PMC: 10709650. DOI: 10.1038/s42003-023-05611-6.


Resolving the time course of visual and auditory object categorization.

Iamshchinina P, Karapetian A, Kaiser D, Cichy R J Neurophysiol. 2022; 127(6):1622-1628.

PMID: 35583972 PMC: 9190735. DOI: 10.1152/jn.00515.2021.


Exploring the Representations of Individual Entities in the Brain Combining EEG and Distributional Semantics.

Bruera A, Poesio M Front Artif Intell. 2022; 5:796793.

PMID: 35280237 PMC: 8905499. DOI: 10.3389/frai.2022.796793.


Brain Strategy Algorithm for Multiple Object Tracking Based on Merging Semantic Attributes and Appearance Features.

Diab M, Elhosseini M, El-Sayed M, Ali H Sensors (Basel). 2021; 21(22).

PMID: 34833680 PMC: 8625767. DOI: 10.3390/s21227604.


References
1.
Handjaras G, Leo A, Cecchetti L, Papale P, Lenci A, Marotta G . Modality-independent encoding of individual concepts in the left parietal cortex. Neuropsychologia. 2017; 105:39-49. DOI: 10.1016/j.neuropsychologia.2017.05.001. View

2.
Clarke A, Taylor K, Devereux B, Randall B, Tyler L . From perception to conception: how meaningful objects are processed over time. Cereb Cortex. 2012; 23(1):187-97. PMC: 3619663. DOI: 10.1093/cercor/bhs002. View

3.
Oostenveld R, Fries P, Maris E, Schoffelen J . FieldTrip: Open source software for advanced analysis of MEG, EEG, and invasive electrophysiological data. Comput Intell Neurosci. 2011; 2011:156869. PMC: 3021840. DOI: 10.1155/2011/156869. View

4.
Barsalou L . Grounded cognition: past, present, and future. Top Cogn Sci. 2014; 2(4):716-24. DOI: 10.1111/j.1756-8765.2010.01115.x. View

5.
Haxby J, Gobbini M, Furey M, Ishai A, SCHOUTEN J, Pietrini P . Distributed and overlapping representations of faces and objects in ventral temporal cortex. Science. 2001; 293(5539):2425-30. DOI: 10.1126/science.1063736. View