Semantic memory: A review of methods, models, and current challenges
AA Kumar - Psychonomic Bulletin & Review, 2021 - Springer
Adult semantic memory has been traditionally conceptualized as a relatively static memory
system that consists of knowledge about the world, concepts, and symbols. Considerable …
system that consists of knowledge about the world, concepts, and symbols. Considerable …
A survey on hyperdimensional computing aka vector symbolic architectures, part ii: Applications, cognitive models, and challenges
This is Part II of the two-part comprehensive survey devoted to a computing framework most
commonly known under the names Hyperdimensional Computing and Vector Symbolic …
commonly known under the names Hyperdimensional Computing and Vector Symbolic …
Building semantic memory from embodied and distributional language experience
Humans seamlessly make sense of a rapidly changing environment, using a seemingly
limitless knowledgebase to recognize and adapt to most situations we encounter. This …
limitless knowledgebase to recognize and adapt to most situations we encounter. This …
Instance theory as a domain-general framework for cognitive psychology
The dominant view in cognitive psychology is that memory includes several distinct and
separate systems including episodic memory, semantic memory and associative learning …
separate systems including episodic memory, semantic memory and associative learning …
Structural priming during comprehension: A pattern from many pieces
KM Tooley - Psychonomic Bulletin & Review, 2023 - Springer
Syntactic/structural priming has been shown to take place during comprehension. However,
early comprehension findings revealed discrepancies with those in production, such as little …
early comprehension findings revealed discrepancies with those in production, such as little …
Abstraction and generalization in statistical learning: implications for the relationship between semantic types and episodic tokens
GTM Altmann - … Transactions of the Royal Society B …, 2017 - royalsocietypublishing.org
Statistical approaches to emergent knowledge have tended to focus on the process by
which experience of individual episodes accumulates into generalizable experience across …
which experience of individual episodes accumulates into generalizable experience across …
An instance theory of semantic memory
Distributional semantic models (DSMs) specify learning mechanisms with which humans
construct a deep representation of word meaning from statistical regularities in language …
construct a deep representation of word meaning from statistical regularities in language …
Scalable cognitive modelling: Putting Simon's (1969) ant back on the beach.
L'objectif classique de la modélisation cognitive est l'intégration du processus et de la
représentation pour développer des théories complètes de la cognition humaine (Estes …
représentation pour développer des théories complètes de la cognition humaine (Estes …
Production without rules: Using an instance memory model to exploit structure in natural language
Recent research in the artificial grammar learning literature has shown that a simple
instance model of memory can account for a wide variety of artificial grammar results …
instance model of memory can account for a wide variety of artificial grammar results …
Distributional social semantics: Inferring word meanings from communication patterns
BT Johns - Cognitive Psychology, 2021 - Elsevier
Distributional models of lexical semantics have proven to be powerful accounts of how word
meanings are acquired from the natural language environment (Günther, Rinaldi, & Marelli …
meanings are acquired from the natural language environment (Günther, Rinaldi, & Marelli …