AI Medical Compendium Topic:
Cognition

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Task representations in neural networks trained to perform many cognitive tasks.

Nature neuroscience
The brain has the ability to flexibly perform many tasks, but the underlying mechanism cannot be elucidated in traditional experimental and modeling studies designed for one task at a time. Here, we trained single network models to perform 20 cogniti...

What is a cognitive map? Unravelling its mystery using robots.

Cognitive processing
Despite years of research into cognitive mapping, the process remains controversial and little understood. A computational theory of cognitive mapping is needed, but developing it is difficult due to the lack of a clear interpretation of the empirica...

Pet robot intervention for people with dementia: A systematic review and meta-analysis of randomized controlled trials.

Psychiatry research
This study aims to systematically evaluate the efficacy of Pet robot intervention (PRI) for people with dementia. Two waves of electronic searches of the PubMed, EMBASE, Web of Science, Cochrane library, IEEE Digital Library and PsycINFO databases we...

Acute Effects of Smoked and Vaporized Cannabis in Healthy Adults Who Infrequently Use Cannabis: A Crossover Trial.

JAMA network open
IMPORTANCE: Vaporization is an increasingly popular method for cannabis administration, and policy changes have increased adult access to cannabis drastically. Controlled examinations of cannabis vaporization among adults with infrequent current cann...

[The body, art and the machines].

Tidsskrift for den Norske laegeforening : tidsskrift for praktisk medicin, ny raekke

Ambient Intelligence Environment for Home Cognitive Telerehabilitation.

Sensors (Basel, Switzerland)
Higher life expectancy is increasing the number of age-related cognitive impairment cases. It is also relevant, as some authors claim, that physical exercise may be considered as an adjunctive therapy to improve cognition and memory after strokes. Th...

Deep active inference.

Biological cybernetics
This work combines the free energy principle and the ensuing active inference dynamics with recent advances in variational inference in deep generative models, and evolution strategies to introduce the "deep active inference" agent. This agent minimi...

Electroencephalography-based machine learning for cognitive profiling in Parkinson's disease: Preliminary results.

Movement disorders : official journal of the Movement Disorder Society
BACKGROUND: Cognitive symptoms are common in patients with Parkinson's disease. Characterization of a patient's cognitive profile is an essential step toward the identification of predictors of cognitive worsening.