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Cognition

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Modeling High-Order Relationships: Brain-Inspired Hypergraph-Induced Multimodal-Multitask Framework for Semantic Comprehension.

IEEE transactions on neural networks and learning systems
Semantic comprehension aims to reasonably reproduce people's real intentions or thoughts, e.g., sentiment, humor, sarcasm, motivation, and offensiveness, from multiple modalities. It can be instantiated as a multimodal-oriented multitask classificati...

Advanced technologies and mathematical metacognition: The present and future orientation.

Bio Systems
The intersection of mathematical cognition, metacognition, and advanced technologies presents a frontier with profound implications for human learning and artificial intelligence. This paper traces the historical roots of these concepts from the Pyth...

Effect of a Group-Based Personal Assistive RObot (PARO) Robot Intervention on Cognitive Function, Autonomic Nervous System Function, and Mental Well-being in Older Adults with Mild Dementia: A Randomized Controlled Trial.

Journal of the American Medical Directors Association
OBJECTIVES: Personal Assistive RObot (PARO) interventions have been used to treat agitation and mood symptoms of dementia effectively. However, the effects of a PARO intervention on physiological and cognitive function are unclear. To examine the eff...

Unveiling the core functional networks of cognition: An ontology-guided machine learning approach.

NeuroImage
Deciphering the functional architecture that underpins diverse cognitive functions is fundamental quest in neuroscience. In this study, we employed an innovative machine learning framework that integrated cognitive ontology with functional connectivi...

Minds in movement: embodied cognition in the age of artificial intelligence.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences
This theme issue brings together researchers from diverse fields to assess the current status and future prospects of embodied cognition in the age of generative artificial intelligence. In this introduction, we first clarify our view of embodiment a...

Active inference goes to school: the importance of active learning in the age of large language models.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences
Human learning essentially involves embodied interactions with the material world. But our worlds now include increasing numbers of powerful and (apparently) disembodied generative artificial intelligence (AI). In what follows we ask how best to unde...

The influence of mental calculations on brain regions and heart rates.

Scientific reports
Performing mathematical calculations is a cognitive activity that can affect biological signals. This study aims to examine the changes in electroencephalogram (EEG) and electrocardiogram (ECG) signals of 36 healthy subjects during the performance of...

Predictive roles of cognitive biases in health anxiety: A machine learning approach.

Stress and health : journal of the International Society for the Investigation of Stress
Prior work suggests that cognitive biases may contribute to health anxiety. Yet there is little research investigating how biased attention, interpretation, and memory for health threats are collectively associated with health anxiety, as well as the...

The minimal computational substrate of fluid intelligence.

Cortex; a journal devoted to the study of the nervous system and behavior
The quantification of cognitive powers rests on identifying a behavioural task that depends on them. Such dependence cannot be assured, for the powers a task invokes cannot be experimentally controlled or constrained a priori, resulting in unknown vu...

Generative AI and the future of equality norms.

Cognition
This article will consider the disruptive impact of generative AI on moral beliefs and practices associated with equality, particularly equality of opportunity. It will first outline a framework for understanding the mechanisms through which generati...