Decoding the information structure underlying the neural representation of concepts
The nature of the representational code underlying conceptual knowledge remains a major
unsolved problem in cognitive neuroscience. We assessed the extent to which different …
unsolved problem in cognitive neuroscience. We assessed the extent to which different …
Neural decoding of semantic concepts: A systematic literature review
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 …
thought processes and are a part of the basis for our understanding of the world. Modern …
Doctor, teacher, and stethoscope: neural representation of different types of semantic relations
Concepts can be related in many ways. They can belong to the same taxonomic category
(eg,“doctor” and “teacher,” both in the category of people) or be associated with the same …
(eg,“doctor” and “teacher,” both in the category of people) or be associated with the same …
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 …
Modeling Brain Representations of Words' Concreteness in Context Using GPT‐2 and Human Ratings
The meaning of most words in language depends on their context. Understanding how the
human brain extracts contextualized meaning, and identifying where in the brain this takes …
human brain extracts contextualized meaning, and identifying where in the brain this takes …
Predicting the brain activation pattern associated with the propositional content of a sentence: Modeling neural representations of events and states
Even though much has recently been learned about the neural representation of individual
concepts and categories, neuroimaging research is only beginning to reveal how more …
concepts and categories, neuroimaging research is only beginning to reveal how more …
Fine-grained neural decoding with distributed word representations
Abstract fMRI word decoding refers to decode what the human brain is thinking by
interpreting functional Magnetic Resonance Imaging (fMRI) scans from people watching or …
interpreting functional Magnetic Resonance Imaging (fMRI) scans from people watching or …
Representational similarity encoding for fMRI: Pattern-based synthesis to predict brain activity using stimulus-model-similarities
Patterns of neural activity are systematically elicited as the brain experiences categorical
stimuli and a major challenge is to understand what these patterns represent. Two influential …
stimuli and a major challenge is to understand what these patterns represent. Two influential …
Decoding the neural representation of fine-grained conceptual categories
Neuroscientific research on conceptual knowledge based on the grounded cognition
framework has shed light on the organization of concrete concepts into semantic categories …
framework has shed light on the organization of concrete concepts into semantic categories …
Neural representations of abstract concepts: Identifying underlying neurosemantic dimensions
The abstractness of concepts is sometimes defined indirectly as lacking concreteness, this
view provides little insight into their cognitive or neural basis. Multivariate pattern analytic …
view provides little insight into their cognitive or neural basis. Multivariate pattern analytic …