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 …

A survey on hyperdimensional computing aka vector symbolic architectures, part ii: Applications, cognitive models, and challenges

D Kleyko, D Rachkovskij, E Osipov, A Rahimi - ACM Computing Surveys, 2023 - dl.acm.org
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 …

Building semantic memory from embodied and distributional language experience

CP Davis, E Yee - Wiley Interdisciplinary Reviews: Cognitive …, 2021 - Wiley Online Library
Humans seamlessly make sense of a rapidly changing environment, using a seemingly
limitless knowledgebase to recognize and adapt to most situations we encounter. This …

Instance theory as a domain-general framework for cognitive psychology

RK Jamieson, BT Johns, JR Vokey… - Nature Reviews …, 2022 - nature.com
The dominant view in cognitive psychology is that memory includes several distinct and
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 …

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 …

An instance theory of semantic memory

RK Jamieson, JE Avery, BT Johns… - Computational Brain & …, 2018 - Springer
Distributional semantic models (DSMs) specify learning mechanisms with which humans
construct a deep representation of word meaning from statistical regularities in language …

Scalable cognitive modelling: Putting Simon's (1969) ant back on the beach.

BT Johns, RK Jamieson, MN Jones - Canadian Journal of …, 2023 - psycnet.apa.org
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 …

Production without rules: Using an instance memory model to exploit structure in natural language

BT Johns, RK Jamieson, MJC Crump, MN Jones… - Journal of Memory and …, 2020 - Elsevier
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 …

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 …