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Experiential, distributional and dependency-based word embeddings have complementary roles in decoding brain activity
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 …
Exploring the representations of individual entities in the brain combining EEG and distributional semantics
Semantic knowledge about individual entities (ie, the referents of proper names such as
Jacinta Ardern) is fine-grained, episodic, and strongly social in nature, when compared with …
Jacinta Ardern) is fine-grained, episodic, and strongly social in nature, when compared with …
Predicting brain activation with wordnet embeddings
The task of taking a semantic representation of a noun and predicting the brain activity
triggered by it in terms of fMRI spatial patterns was pioneered by Mitchell et al. 2008. That …
triggered by it in terms of fMRI spatial patterns was pioneered by Mitchell et al. 2008. That …
Feature selection methods for zero-shot learning of neural activity
Dimensionality poses a serious challenge when making predictions from human
neuroimaging data. Across imaging modalities, large pools of potential neural features (eg …
neuroimaging data. Across imaging modalities, large pools of potential neural features (eg …
Neural activation semantic models: Computational lexical semantic models of localized neural activations
Neural activation models have been proposed in the literature that use a set of example
words for which fMRI measurements are available in order to find a map** between word …
words for which fMRI measurements are available in order to find a map** between word …
Limiting factors for map** corpus-based semantic representations to brain activity
To help understand how semantic information is represented in the human brain, a number
of previous studies have explored how a linear map** from corpus derived semantic …
of previous studies have explored how a linear map** from corpus derived semantic …
Bridging Natural Language Processing and psycholinguistics: computationally grounded semantic similarity datasets for Basque and Spanish
J Goikoetxea, I San Martin, M Arantzeta - Frontiers in Language …, 2024 - frontiersin.org
Introduction Semantic relations are crucial in various cognitive processes, highlighting the
need to understand concept interactions and how such relations are represented in the …
need to understand concept interactions and how such relations are represented in the …