AIMC Topic: Mental Recall

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Characteristics of Mild Cognitive Impairment Using the Thai Version of the Consortium to Establish a Registry for Alzheimer's Disease Tests: A Multivariate and Machine Learning Study.

Dementia and geriatric cognitive disorders Apr 4, 2018
BACKGROUND: The Consortium to Establish a Registry for Alzheimer's Disease (CERAD) developed a neuropsychological battery (CERAD-NP) to screen patients with Alzheimer's dementia. Mild cognitive impairment (MCI) has received attention as a pre-dementi...
Aged, 80 and over Cross-Sectional Studies Male Middle Aged Female Reproducibility of Results Aged Alzheimer Disease Neuropsychological Tests Translations Mental Recall Thailand Cognitive Dysfunction Socioeconomic Factors Support Vector Machine Humans Neural Networks, Computer Machine Learning Verbal Behavior
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False memory for orthographically versus semantically similar words in adolescents with dyslexia: a fuzzy-trace theory perspective.

Annals of dyslexia Nov 13, 2017
The presented research was conducted in order to investigate the connections between developmental dyslexia and the functioning of verbatim and gist memory traces-assumed in the fuzzy-trace theory. The participants were 71 high school students (33 wi...
Semantics Memory Mental Recall Dyslexia Word Association Tests Adolescent Cognition Adolescent Behavior Fuzzy Logic Female Young Adult Male Humans
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Fast Recall for Complex-Valued Hopfield Neural Networks with Projection Rules.

Computational intelligence and neuroscience May 3, 2017
Many models of neural networks have been extended to complex-valued neural networks. A complex-valued Hopfield neural network (CHNN) is a complex-valued version of a Hopfield neural network. Complex-valued neurons can represent multistates, and CHNNs...
Computer Simulation Neural Networks, Computer Neurons Algorithms Mental Recall
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Overcoming catastrophic forgetting in neural networks.

Proceedings of the National Academy of Sciences of the United States of America Mar 14, 2017
The ability to learn tasks in a sequential fashion is crucial to the development of artificial intelligence. Until now neural networks have not been capable of this and it has been widely thought that catastrophic forgetting is an inevitable feature ...
Neural Networks, Computer Artificial Intelligence Algorithms Computer Simulation Learning Memory Humans Mental Recall
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Dietary pattern, serum magnesium, ferritin, C-reactive protein and anaemia among older people.

Clinical nutrition (Edinburgh, Scotland) Dec 25, 2015
BACKGROUND & AIMS: Epidemiological data of dietary patterns and anaemia among older Chinese remains extremely scarce. We examined the association between dietary patterns and anaemia in older Chinese, and to assess whether biomarkers of serum magnesi...
Nutrition Assessment Aged Magnesium Diet Cross-Sectional Studies Humans Exercise Ferritins Male Biomarkers Prevalence Body Weight Female China Middle Aged Asian People Anemia, Iron-Deficiency Inflammation Mental Recall Nutrition Surveys Socioeconomic Factors Body Mass Index Dietary Supplements C-Reactive Protein
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Effects of long-term representations on free recall of unrelated words.

Learning & memory (Cold Spring Harbor, N.Y.) Jan 15, 2015
Human memory stores vast amounts of information. Yet recalling this information is often challenging when specific cues are lacking. Here we consider an associative model of retrieval where each recalled item triggers the recall of the next item base...
Memory, Long-Term Models, Statistical Neurons Mental Recall Young Adult Humans Adult Neural Networks, Computer Adolescent Models, Neurological
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Learning to track multiple targets.

IEEE transactions on neural networks and learning systems Jul 14, 2014
Monocular multiple-object tracking is a fundamental yet under-addressed computer vision problem. In this paper, we propose a novel learning framework for tracking multiple objects by detection. First, instead of heuristically defining a tracking algo...
Learning Models, Theoretical Markov Chains Video Recording Humans Signal Detection, Psychological Pattern Recognition, Automated Neural Networks, Computer Photic Stimulation Algorithms Online Systems Mental Recall
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AI assistance improves people's ability to distinguish correct from incorrect eyewitness lineup identifications.

Proceedings of the National Academy of Sciences of the United States of America May 27, 2025
Mistaken eyewitness identification is one of the leading causes of false convictions. Improving law enforcement's ability to identify correct identifications could have profound implications for criminal justice. Across two experiments, we show that ...
Humans Mental Recall Artificial Intelligence Female Recognition, Psychology Young Adult Law Enforcement Criminal Law Adult Male
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Improving Recall in Sparse Associative Memories That Use Neurogenesis.

Neural computation Feb 14, 2025
The creation of future low-power neuromorphic solutions requires specialist spiking neural network (SNN) algorithms that are optimized for neuromorphic settings. One such algorithmic challenge is the ability to recall learned patterns from their nois...
Mental Recall Association Learning Models, Neurological Neurons Memory Humans Neurogenesis Neural Networks, Computer Algorithms Animals
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A Computational Framework for Memory Engrams.

Advances in neurobiology Jan 1, 2024
Memory engrams in mice brains are potentially related to groups of concept cells in human brains. A single concept cell in human hippocampus responds, for example, not only to different images of the same object or person but also to its name written...
Brain Humans Neurons Animals Neural Networks, Computer Hippocampus Mice Memory Models, Neurological Mental Recall
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