Results 141 to 150 of about 1,287,987 (322)

A double dissociation between semantic and spatial cognition in visual to default network pathways

open access: yeseLife
Processing pathways between sensory and default mode network (DMN) regions support recognition, navigation, and memory but their organisation is not well understood.
Tirso RJ Gonzalez Alam   +11 more
doaj   +1 more source

Both symbolic and embodied representations contribute to spatial language processing: Evidence from younger and older adults [PDF]

open access: yes, 2015
Building on earlier neuropsychological work, we adopted a novel individual differences approach to examine the relationship between spatial language and a wide range of both verbal and nonverbal abilities.
Coventry, Kenny   +3 more
core  

An Integrated NLP‐ML Framework for Property Prediction and Design of Steels

open access: yesAdvanced Science, EarlyView.
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju   +5 more
wiley   +1 more source

Connectionism, Analogicity and Mental Content [PDF]

open access: yes, 1998
In Connectionism and the Philosophy of Psychology, Horgan and Tienson (1996) argue that cognitive processes, pace classicism, are not governed by exceptionless, “representation-level” rules; they are instead the work of defeasible cognitive tendencies ...
O'Brien, Gerard
core  

Deregulated semantic cognition contributes to object-use deficits in Alzheimer's disease: A comparison with semantic aphasia and semantic dementia.

open access: yesJournal of Neuropsychology, 2015
Executive control is impaired from the early stages of Alzheimer's Disease (AD) and this produces deregulated semantic cognition (Corbett, Jefferies, Burns, & Lambon Ralph, ; Perry, Watson, & Hodges, ).
F. Corbett   +3 more
semanticscholar   +1 more source

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

open access: yesAdvanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu   +4 more
wiley   +1 more source

DIKWP Semantic Judicial Reasoning: A Framework for Semantic Justice in AI and Law

open access: yesInformation
Semantic modeling of legal reasoning is an important research direction in the field of artificial intelligence and law (AI and law), aiming to enhance judicial transparency, fairness, and the consistency of legal applications through structured semantic
Yingtian Mei, Yucong Duan
doaj   +1 more source

Multimodal Wearable Biosensing Meets Multidomain AI: A Pathway to Decentralized Healthcare

open access: yesAdvanced Science, EarlyView.
Multimodal biosensing meets multidomain AI. Wearable biosensors capture complementary biochemical and physiological signals, while cross‐device, population‐aware learning aligns noisy, heterogeneous streams. This Review distills key sensing modalities, fusion and calibration strategies, and privacy‐preserving deployment pathways that transform ...
Chenshu Liu   +10 more
wiley   +1 more source

ERP evidence for semantic facilitation of tool-grasping by tool-using actions

open access: yesActa Psychologica
Research has shown that the human visual system recognizes manipulated objects more efficiently than faces, numbers, or text, largely due to their manipulability.
Yanglan Yu   +4 more
doaj   +1 more source

A Neurobiologically Motivated Analysis of Distributional Semantic Models [PDF]

open access: yes, 2018
The pervasive use of distributional semantic models or word embeddings in a variety of research fields is due to their remarkable ability to represent the meanings of words for both practical application and cognitive modeling.
Utsumi, Akira
core   +1 more source

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