AIMC Topic: Mental Recall

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Machine Learning for the Prediction of Amyloid Positivity in Amnestic Mild Cognitive Impairment.

Journal of Alzheimer's disease : JAD Jan 1, 2021
BACKGROUND: Amyloid-β (Aβ) evaluation in amnestic mild cognitive impairment (aMCI) patients is important for predicting conversion to Alzheimer's disease. However, Aβ evaluation through Aβ positron emission tomography (PET) is limited due to high cos...
Machine Learning Algorithms Female Humans Area Under Curve Amyloid beta-Peptides Positron-Emission Tomography Magnetic Resonance Imaging Predictive Value of Tests Neuropsychological Tests Apolipoproteins E Mental Recall Male Hippocampus Aged Aged, 80 and over Middle Aged Cerebral Cortex Disease Progression Reproducibility of Results Risk Factors Cognitive Dysfunction Cohort Studies
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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 ...
Judgment Mental Recall Probability Semantics Recognition, Psychology Humans Machine Learning Cognition Decision Making Deep Learning
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TinySleepNet: An Efficient Deep Learning Model for Sleep Stage Scoring based on Raw Single-Channel EEG.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2020
Deep learning has become popular for automatic sleep stage scoring due to its capability to extract useful features from raw signals. Most of the existing models, however, have been overengineered to consist of many layers or have introduced addition...
Mental Recall Sleep Stages Electroencephalography Sleep Humans Deep Learning
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Let's "recall" sensitivity and specificity: Letter to the Editor regarding Gowd et al: "Construct validation of machine learning in the prediction of short-term postoperative complications following total shoulder arthroplasty".

Journal of shoulder and elbow surgery Mar 1, 2020
Humans Male Postoperative Complications Machine Learning Mental Recall Arthroplasty, Replacement, Shoulder
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Response to Chelli and Boileau: "Let's 'recall' sensitivity and specificity".

Journal of shoulder and elbow surgery Mar 1, 2020
Postoperative Complications Mental Recall Humans Arthroplasty, Replacement, Shoulder Machine Learning
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Neural activity reveals interactions between episodic and semantic memory systems during retrieval.

Journal of experimental psychology. General Jan 1, 2019
Whereas numerous findings support a distinction between episodic and semantic memory, it is now widely acknowledged that these two forms of memory interact during both encoding and retrieval. The precise nature of this interaction, however, remains p...
Humans Electrocorticography Machine Learning Memory, Episodic Adult Mental Recall Semantics Male Cerebral Cortex Middle Aged Female Young Adult
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Visual properties and memorising scenes: Effects of image-space sparseness and uniformity.

Attention, perception & psychophysics Oct 1, 2017
Previous studies have demonstrated that humans have a remarkable capacity to memorise a large number of scenes. The research on memorability has shown that memory performance can be predicted by the content of an image. We explored how remembering an...
Pattern Recognition, Visual Male Female Recognition, Psychology Adult Photic Stimulation Middle Aged Humans Memory Neural Networks, Computer Mental Recall
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