Sophie Arana

ORCID: 0000-0001-9708-7058
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About
Contact & Profiles
Research Areas
  • Neurobiology of Language and Bilingualism
  • Language Development and Disorders
  • Language, Metaphor, and Cognition
  • Reading and Literacy Development
  • Action Observation and Synchronization
  • Topic Modeling
  • Neural Networks and Applications
  • EEG and Brain-Computer Interfaces
  • Software Engineering Research
  • Language, Communication, and Linguistic Studies
  • Language and cultural evolution
  • Phonetics and Phonology Research
  • Fractal and DNA sequence analysis
  • Cognitive Science and Education Research
  • Scientific Computing and Data Management
  • Natural Language Processing Techniques
  • Syntax, Semantics, Linguistic Variation
  • Distributed and Parallel Computing Systems
  • Neural dynamics and brain function
  • Neural and Behavioral Psychology Studies
  • Functional Brain Connectivity Studies

The Alan Turing Institute
2025

Radboud University Nijmegen
2015-2023

Max Planck Institute for Psycholinguistics
2016-2023

University of Oxford
2023

Max Planck Society
2016-2020

Allen Institute for Brain Science
2020

Language Science (South Korea)
2016-2017

Neuroimaging and neuropsychological experiments suggest that modality-preferential cortices, including motor- somatosensory areas contribute to the semantic processing of action related concrete words. In contrast, a possible role – sensorimotor in abstract meaning remains under debate. However, recent fMRI studies indicate an involvement left cortex abstract-emotional words (e.g. "love"). But are these indeed necessary for action-related words? The current study now investigates word two...

10.3389/fpsyg.2015.01661 article EN cc-by Frontiers in Psychology 2015-11-12

Recent artificial neural networks that process natural language achieve unprecedented performance in tasks requiring sentence-level understanding. As such, they could be interesting models of the integration linguistic information human brain. We review works compare these with brain activity and we assess extent to which this approach has improved our understanding processes involved comprehension. Two main results emerge. First, representation word meaning aligns context-dependent, dense...

10.1080/23273798.2023.2198245 article EN cc-by Language Cognition and Neuroscience 2023-04-18

The meaning of a sentence can be understood, whether presented in written or spoken form. Therefore, it is highly probable that brain processes supporting language comprehension are at least partly independent sensory modality. To identify where and when the processing modality, we directly compared neuromagnetic signals 200 human subjects (102 males) either reading listening to sentences. We used multiset canonical correlation analysis align individual subject data way boosts those aspects...

10.1523/jneurosci.2271-19.2020 article EN cc-by-nc-sa Journal of Neuroscience 2020-02-28

Abstract Typical adults read remarkably quickly. Such fast reading is facilitated by brain processes that are sensitive to both word frequency and contextual constraints. It debated as whether these attributes have additive or interactive effects on language processing in the brain. We investigated this issue analysing existing magnetoencephalography data from 99 participants intact scrambled sentences. Using a cross-validated model comparison scheme, we found lexical predicted word-by-word...

10.1162/nol_a_00054 article EN cc-by Neurobiology of Language 2021-09-20

Abstract Previous research has shown that the direction of cognate facilitation effect (CFE) can disappear if identical words are removed from stimulus list while keeping task requirements constant (Comesaña, Ferré, Romero, Guasch, Soares & García-Chico, 2015). These results do not fit well with leading computational models bilingual word recognition (BIA+, Multilink), according to which there no top-down influences at early stages processing. Influences would be post-lexical in nature...

10.1017/s1366728922000062 article EN Bilingualism Language and Cognition 2022-03-03

Abstract The meaning of a sentence can be understood, whether presented in written or spoken form. Therefore it is highly probable that brain processes supporting language comprehension are at least partly independent sensory modality. To identify where and when the processing modality, we directly compared neuromagnetic signals 200 human subjects (102 males) either reading listening to sentences. We used multiset canonical correlation analysis align individual subject data way boosts those...

10.1101/714998 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2019-07-26

When perceiving the world around us, we are constantly integrating pieces of information. The integrated experience consists more than just sum its parts. For example, visual scenes defined by a collection objects as well spatial relations amongst them and sentence meaning is computed based on individual word semantic but also syntactic configuration. Having quantitative models such representations can help evaluate cognitive both language scene perception. Here, focus language, use...

10.3758/s13428-023-02129-x article EN cc-by Behavior Research Methods 2023-06-22

Abstract Typical adults read remarkably quickly. Such fast reading is facilitated by brain processes that are sensitive to both word frequency and contextual constraints. It debated as whether these attributes have additive or interactive effects on language processing in the brain. We investigated this issue analysing existing magnetoencephalography data from 99 participants intact scrambled sentences. Using a cross-validated model comparison scheme, we found lexical predicted word-by-word...

10.1101/2020.12.08.416016 preprint EN cc-by-nd bioRxiv (Cold Spring Harbor Laboratory) 2020-12-08

Abstract During comprehension, the meaning extracted from serial language input can be described by hierarchical phrase structure. Whether our brains explicitly encode structure during processing is, however, debated. In this study we recorded Magnetoencephalography (MEG) reading of structurally ambiguous sentences to probe neural activity for representations underlying 10 human subjects were presented with simple sentences, each containing a prepositional that was respect its attachment...

10.1101/2021.02.19.431945 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2021-02-19

Recent artificial neural networks that process natural language achieve unprecedented performance in tasks requiring sentence-level understanding. As such, they could be interesting models of the integration linguistic information human brain. We review works compare these with brain activity and we assess extent to which this approach has improved our understanding processes involved comprehension. Two main results emerge. First, representation word meaning aligns context-dependent, dense...

10.48550/arxiv.2301.06340 preprint EN cc-by-nc-nd arXiv (Cornell University) 2023-01-01

10.32470/ccn.2023.1544-0 article EN cc-by 2022 Conference on Cognitive Computational Neuroscience 2023-01-01
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