Knowledge across reference frames: Cognitive maps and image spaces
R Bottini, CF Doeller - Trends in Cognitive Sciences, 2020 - cell.com
In human and non-human animals, conceptual knowledge is partially organized according
to low-dimensional geometries that rely on brain structures and computations involved in …
to low-dimensional geometries that rely on brain structures and computations involved in …
[HTML][HTML] Grounding the neurobiology of language in first principles: The necessity of non-language-centric explanations for language comprehension
Recent decades have ushered in tremendous progress in understanding the neural basis of
language. Most of our current knowledge on language and the brain, however, is derived …
language. Most of our current knowledge on language and the brain, however, is derived …
A natural language fMRI dataset for voxelwise encoding models
Speech comprehension is a complex process that draws on humans' abilities to extract
lexical information, parse syntax, and form semantic understanding. These sub-processes …
lexical information, parse syntax, and form semantic understanding. These sub-processes …
Testing cognitive theories with multivariate pattern analysis of neuroimaging data
MV Peelen, PE Downing - Nature human behaviour, 2023 - nature.com
Multivariate pattern analysis (MVPA) has emerged as a powerful method for the analysis of
functional magnetic resonance imaging, electroencephalography and …
functional magnetic resonance imaging, electroencephalography and …
Six challenges for embodiment research
Twenty years after Barsalou's seminal perceptual-symbols article, embodied cognition, the
notion that cognition involves simulations of sensory, motor, or affective states, has moved …
notion that cognition involves simulations of sensory, motor, or affective states, has moved …
The roles of sensory perceptions and mental imagery in consumer decision-making
The current study examines the relationship between sensory perceptions and mental
imagery and the mechanism through which sensory perceptions and mental imagery …
imagery and the mechanism through which sensory perceptions and mental imagery …
Deep artificial neural networks reveal a distributed cortical network encoding propositional sentence-level meaning
Understanding how and where in the brain sentence-level meaning is constructed from
words presents a major scientific challenge. Recent advances have begun to explain brain …
words presents a major scientific challenge. Recent advances have begun to explain brain …
Predicting neural activity patterns associated with sentences using a neurobiologically motivated model of semantic representation
We introduce an approach that predicts neural representations of word meanings contained
in sentences then superposes these to predict neural representations of new sentences. A …
in sentences then superposes these to predict neural representations of new sentences. A …
Visually grounded and textual semantic models differentially decode brain activity associated with concrete and abstract nouns
Important advances have recently been made using computational semantic models to
decode brain activity patterns associated with concepts; however, this work has almost …
decode brain activity patterns associated with concepts; however, this work has almost …
Predicting human similarity judgments with distributional models: The value of word associations.
S De Deyne, A Perfors, DJ Navarro - Proceedings of COLING …, 2016 - aclanthology.org
Most distributional lexico-semantic models derive their representations based on external
language resources such as text corpora. In this study, we propose that internal language …
language resources such as text corpora. In this study, we propose that internal language …