AI Medical Compendium Topic:
Cognition

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BiTCAN: A emotion recognition network based on saliency in brain cognition.

Mathematical biosciences and engineering : MBE
In recent years, with the continuous development of artificial intelligence and brain-computer interfaces, emotion recognition based on electroencephalogram (EEG) signals has become a prosperous research direction. Due to saliency in brain cognition,...

The Puzzle of Evaluating Moral Cognition in Artificial Agents.

Cognitive science
In developing artificial intelligence (AI), researchers often benchmark against human performance as a measure of progress. Is this kind of comparison possible for moral cognition? Given that human moral judgment often hinges on intangible properties...

Explorative Synthetic Biology in AI: Criteria of Relevance and a Taxonomy for Synthetic Models of Living and Cognitive Processes.

Artificial life
This article tackles the topic of the special issue "Biology in AI: New Frontiers in Hardware, Software and Wetware Modeling of Cognition" in two ways. It addresses the problem of the relevance of hardware, software, and wetware models for the scient...

Deep Depression Detection with Resting-State and Cognitive-Task EEG.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Depression is a common mental disorder that negatively affects physical health and personal, social and occupational functioning. Currently, accurate and objective diagnosis of depression remains challenging, and electroencephalography (EEG) provides...

NeuroAI: If grid cells are the answer, is path integration the question?

Current biology : CB
Spatially modulated neurons known as grid cells are thought to play an important role in spatial cognition. A new study has found that units with grid-cell-like properties can emerge within artificial neural networks trained to path integrate, and de...

Can Negation Be Depicted? Comparing Human and Machine Understanding of Visual Representations.

Cognitive science
There is a widely held view that visual representations (images) do not depict negation, for example, as expressed by the sentence, "the train is not coming." The present study focuses on the real-world visual representations of photographs and comic...

The Quest for Cognition in Purposive Action: From Cybernetics to Quantum Computing.

Journal of integrative neuroscience
Norbert Wiener and Nikolai Bernstein set the stage for a worldwide multidisciplinary attempt to understand how purposive action is integrated with cognition in a circular, bidirectional manner, both in life sciences and engineering. Such a 'workshop'...

ChatGPT: "To Be or Not to Be" in Bikini Bottom.

Psychiatry
In this report, we tested ChatGPT's ability to think abstractly and to integrate information about two seemingly disparate topics by requesting a well-articulated, intellectually stimulating essay in response to a complex and somewhat paradoxical ta...

[The development of methods to evaluate experimental animal behavior using images].

Nihon yakurigaku zasshi. Folia pharmacologica Japonica
In life science and medicine, we have been conducting research using laboratory animals such as mice, rats and monkeys. However, it is impossible for humans to fully understand the feelings and conditions of experimental animals with whom we cannot c...

The Bias-Variance Tradeoff in Cognitive Science.

Cognitive science
The bias-variance tradeoff is a theoretical concept that suggests machine learning algorithms are susceptible to two kinds of error, with some algorithms tending to suffer from one more than the other. In this letter, we claim that the bias-variance ...