The revolution will not be controlled: natural stimuli in speech neuroscience

LS Hamilton, AG Huth - Language, cognition and neuroscience, 2020 - Taylor & Francis
Humans have a unique ability to produce and consume rich, complex, and varied language
in order to communicate ideas to one another. Still, outside of natural reading, the most …

Neural decoding of semantic concepts: A systematic literature review

M Rybář, I Daly - Journal of Neural Engineering, 2022 - iopscience.iop.org
Objective. Semantic concepts are coherent entities within our minds. They underpin our
thought processes and are a part of the basis for our understanding of the world. Modern …

Semantic representations during language comprehension are affected by context

F Deniz, C Tseng, L Wehbe, TD la Tour… - Journal of …, 2023 - Soc Neuroscience
The meaning of words in natural language depends crucially on context. However, most
neuroimaging studies of word meaning use isolated words and isolated sentences with little …

Two ways to build a thought: distinct forms of compositional semantic representation across brain regions

SM Frankland, JD Greene - Cerebral Cortex, 2020 - academic.oup.com
To understand a simple sentence such as “the woman chased the dog”, the human mind
must dynamically organize the relevant concepts to represent who did what to whom. This …

[图书][B] Coercive brain-reading in criminal justice: An analysis of European human rights law

S Ligthart - 2022 - books.google.com
Emerging neurotechnology offers increasingly individualised brain information, enabling
researchers to identify mental states and content. When accurate and valid, these brain …

Multiple regions of a cortical network commonly encode the meaning of words in multiple grammatical positions of read sentences

AJ Anderson, EC Lalor, F Lin, JR Binder… - Cerebral …, 2019 - academic.oup.com
Deciphering how sentence meaning is represented in the brain remains a major challenge
to science. Semantically related neural activity has recently been shown to arise …

Decoding brain activity associated with literal and metaphoric sentence comprehension using distributional semantic models

VG Djokic, J Maillard, L Bulat… - Transactions of the …, 2020 - direct.mit.edu
Recent years have seen a growing interest within the natural language processing (NLP)
community in evaluating the ability of semantic models to capture human meaning …

[HTML][HTML] Stimulus-independent neural coding of event semantics: Evidence from cross-sentence fMRI decoding

A Asyraff, R Lemarchand, A Tamm, P Hoffman - Neuroimage, 2021 - Elsevier
Multivariate neuroimaging studies indicate that the brain represents word and object
concepts in a format that readily generalises across stimuli. Here we investigated whether …

Towards EEG/fNIRS-based semantic brain-computer interfacing

M Rybář - 2023 - repository.essex.ac.uk
Semantic neural decoding aims to identify which semantic concepts an individual is focused
on at a given moment in time from recordings of their brain activity. This could be used by …

Quantifying the Conceptual Combination Effect on Word Meanings

N Aguirre-Celis, R Miikkulainen - … of the Annual Meeting of the …, 2019 - escholarship.org
How do people understand concepts such as dog, aggressive dog, dog house or house
dog? The meaning of a concept depends crucially on the concepts around it. While this …