AIMC Topic: Cognition
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Depression diagnosis: EEG-based cognitive biomarkers and machine learning.
Behavioural brain research
Nov 6, 2024
Depression is a complex mental illness that has significant effects on people as well as society. The traditional techniques for the diagnosis of depression, along with the potential of nascent biomarkers especially EEG-based biomarkers, are studied....
A General DNA-Like Hybrid Symbiosis Framework: An EEG Cognitive Recognition Method.
IEEE journal of biomedical and health informatics
Nov 6, 2024
In electroencephalogram (EEG) cognitive recognition research, the combined use of artificial neural networks (ANNs) and spiking neural networks (SNNs) plays an important role to realize different categories of recognition tasks. However, most of the ...
Computation noise promotes zero-shot adaptation to uncertainty during decision-making in artificial neural networks.
Science advances
Oct 30, 2024
Random noise in information processing systems is widely seen as detrimental to function. But despite the large trial-to-trial variability of neural activity, humans show a remarkable adaptability to conditions with uncertainty during goal-directed b...
Inter- and intra-rater reliability of cognitive assessment conducted by assistive robot for older adults living in the community: a preliminary study.
Psychogeriatrics : the official journal of the Japanese Psychogeriatric Society
Oct 23, 2024
BACKGROUND: The purpose of this study was to reveal inter- and intra-rater reliability of the detailed evaluation of cognitive function by assistive robot for older adults.
Novel multimodal sensing and machine learning strategies to classify cognitive workload in laparoscopic surgery.
European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology
Oct 15, 2024
BACKGROUND: Surgeons can experience elevated cognitive workload (CWL) during surgery due to various factors including operative technicalities and the environmental demands of the operating theatre. This can result in poorer outcomes and have a detri...
An Ensemble Learning Algorithm for Cognitive Evaluation by an Immersive Virtual Reality Supermarket.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Oct 14, 2024
Early screening for Mild Cognitive Impairment (MCI) is crucial in delaying cognitive deterioration and treating dementia. Conventional neuropsychological tests, commonly used for MCI detection, often lack ecological validity due to their simplistic a...
Are automated video interviews smart enough? Behavioral modes, reliability, validity, and bias of machine learning cognitive ability assessments.
The Journal of applied psychology
Sep 26, 2024
Automated video interviews (AVIs) that use machine learning (ML) algorithms to assess interviewees are increasingly popular. Extending prior AVI research focusing on noncognitive constructs, the present study critically evaluates the possibility of a...
Quo vadis, planning?
The Behavioral and brain sciences
Sep 23, 2024
Deep meta-learning is the driving force behind advances in contemporary AI research, and a promising theory of flexible cognition in natural intelligence. We agree with Binz et al. that many supposedly "model-based" behaviours may be better explained...
Social robot for at-home cognitive monitoring.
Science robotics
Sep 18, 2024
A socially assistive robot can administer in-home neuropsychological tests for cognitive monitoring of older adults.
Synthesizing the temporal self: robotic models of episodic and autobiographical memory.
Philosophical transactions of the Royal Society of London. Series B, Biological sciences
Sep 16, 2024
Episodic memories are experienced as belonging to a self that persists in time. We review evidence concerning the nature of human episodic memory and of the sense of self and how these emerge during development, proposing that the younger child exper...
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