AIMC Topic: Cognition

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Machine learning evaluates changes in functional connectivity under a prolonged cognitive load.

Chaos (Woodbury, N.Y.) Oct 1, 2021
One must be aware of the black-box problem by applying machine learning models to analyze high-dimensional neuroimaging data. It is due to a lack of understanding of the internal algorithms or the input features upon which most models make decisions ...
Brain Cognition Magnetic Resonance Imaging Machine Learning Algorithms
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Emergence of Content-Agnostic Information Processing by a Robot Using Active Inference, Visual Attention, Working Memory, and Planning.

Neural computation Aug 19, 2021
Generalization by learning is an essential cognitive competency for humans. For example, we can manipulate even unfamiliar objects and can generate mental images before enacting a preplan. How is this possible? Our study investigated this problem by ...
Cognition Robotics Memory, Short-Term Humans Visual Perception
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Editorial: Designing a Protocol Adopting an Artificial Intelligence (AI)-Driven Approach for Early Diagnosis of Late-Onset Alzheimer's Disease.

Journal of molecular neuroscience : MN Jul 1, 2021
Prospective Studies Biomarkers Language Humans Artificial Intelligence Cognition Observational Studies as Topic Mutation Case-Control Studies Wearable Electronic Devices Mobile Applications Late Onset Disorders Clinical Trial Protocols as Topic Early Diagnosis Hong Kong Medical History Taking Memory Behavior Mental Status and Dementia Tests Asian People Alzheimer Disease Models, Biological Ethnicity Patient Selection
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Machine learning-based estimation of cognitive performance using regional brain MRI markers: the Northern Manhattan Study.

Brain imaging and behavior Jun 1, 2021
High dimensional neuroimaging datasets and machine learning have been used to estimate and predict domain-specific cognition, but comparisons with simpler models composed of easy-to-measure variables are limited. Regularization methods in particular ...
Neuroimaging Machine Learning Biomarkers Brain Cohort Studies Cognition Magnetic Resonance Imaging
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Predictive Processing in Cognitive Robotics: A Review.

Neural computation Apr 13, 2021
Predictive processing has become an influential framework in cognitive sciences. This framework turns the traditional view of perception upside down, claiming that the main flow of information processing is realized in a top-down, hierarchical manner...
Learning Cognition Robotics
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Investigating Predictors of Preserved Cognitive Function in Older Women Using Machine Learning: Women's Health Initiative Memory Study.

Journal of Alzheimer's disease : JAD Jan 1, 2021
BACKGROUND: Identification of factors that may help to preserve cognitive function in late life could elucidate mechanisms and facilitate interventions to improve the lives of millions of people. However, the large number of potential factors associa...
Machine Learning Female Aged Cognitive Dysfunction Dementia Cognition Humans Longitudinal Studies Women's Health
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Short-Term Memory Binding Distinguishing Amnestic Mild Cognitive Impairment from Healthy Aging: A Machine Learning Study.

Journal of Alzheimer's disease : JAD Jan 1, 2021
BACKGROUND: Amnestic mild cognitive impairment (aMCI) is the most common preclinical stage of Alzheimer's disease (AD). A strategy to reduce the impact of AD is the early aMCI diagnosis and clinical intervention. Neuroimaging, neurobiological, and ge...
Neuropsychological Tests Healthy Aging Male Cognitive Dysfunction Cognition Memory, Short-Term Alzheimer Disease Machine Learning Early Diagnosis Humans Female Aged
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Controversial stimuli: Pitting neural networks against each other as models of human cognition.

Proceedings of the National Academy of Sciences of the United States of America Nov 24, 2020
Distinct scientific theories can make similar predictions. To adjudicate between theories, we must design experiments for which the theories make distinct predictions. Here we consider the problem of comparing deep neural networks as models of human ...
Pattern Recognition, Automated Humans Female Normal Distribution Adult Cognition Pattern Recognition, Physiological Male Models, Neurological Deep Learning
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Holographic Declarative Memory: Distributional Semantics as the Architecture of Memory.

Cognitive science Nov 1, 2020
We demonstrate that the key components of cognitive architectures (declarative and procedural memory) and their key capabilities (learning, memory retrieval, probability judgment, and utility estimation) can be implemented as algebraic operations on ...
Mental Recall Recognition, Psychology Semantics Cognition Judgment Decision Making Humans Probability Machine Learning Deep Learning
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Limits of Neural Computation in Humans and Machines.

Science and engineering ethics Oct 1, 2020
Aicardi et al. (Ethical and social aspects of neurorobotics, Science and Engineering Ethics, 2020) look to neuroscience to mitigate the limitations of current robotics technology. They propose that robotics technology guided by neuroscience has the c...
Neurosciences Cognition Robotics Humans Morals Brain
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