AIMC Topic: Individuality
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Identifying predictors of within-person variance in MRI-based brain volume estimates.
NeuroImage
May 18, 2019
Adequate reliability of measurement is a precondition for investigating individual differences and age-related changes in brain structure. One approach to improve reliability is to identify and control for variables that are predictive of within-pers...
Resting-state Functional Connectivity and Deception: Exploring Individualized Deceptive Propensity by Machine Learning.
Neuroscience
Oct 28, 2018
Individuals show marked variability in determining to be honest or deceptive in daily life. A large number of studies have investigated the neural substrates of deception; however, the brain networks contributing to the individual differences in dece...
A robust data-driven approach identifies four personality types across four large data sets.
Nature human behaviour
Sep 17, 2018
Understanding human personality has been a focus for philosophers and scientists for millennia. It is now widely accepted that there are about five major personality domains that describe the personality profile of an individual. In contrast to perso...
Classification and Verification of Handwritten Signatures with Time Causal Information Theory Quantifiers.
PloS one
Dec 1, 2016
We present a new approach for handwritten signature classification and verification based on descriptors stemming from time causal information theory. The proposal uses the Shannon entropy, the statistical complexity, and the Fisher information evalu...
Individual prediction of chronic motor outcome in the acute post-stroke stage: Behavioral parameters versus functional imaging.
Human brain mapping
Aug 19, 2015
Several neurobiological factors have been found to correlate with functional recovery after brain lesions. However, predicting the individual potential of recovery remains difficult. Here we used multivariate support vector machine (SVM) classificati...
Commonality and individuality based graph learning network for EEG emotion recognition.
Journal of neural engineering
May 15, 2025
The interplay between individual differences and shared human characteristics significantly impacts electroencephalogram (EEG) emotion recognition models, yet remains underexplored. To address this, we propose a commonality and individuality-based EE...
Stimulus Selection Influences Prediction of Individual Phenotypes in Naturalistic Conditions.
Human brain mapping
Feb 15, 2025
While the use of naturalistic stimuli such as movie clips for understanding individual differences and brain-behaviour relationships attracts increasing interest, the influence of stimulus selection remains largely unclear. By using machine learning ...
Scanpath modeling and classification with hidden Markov models.
Behavior research methods
Feb 1, 2018
How people look at visual information reveals fundamental information about them; their interests and their states of mind. Previous studies showed that scanpath, i.e., the sequence of eye movements made by an observer exploring a visual stimulus, ca...
Smooth leader or sharp follower? Playing the mirror game with a robot.
Restorative neurology and neuroscience
Jan 1, 2018
BACKGROUND: The increasing number of opportunities for human-robot interactions in various settings, from industry through home use to rehabilitation, creates a need to understand how to best personalize human-robot interactions to fit both the user ...
Four ethical priorities for neurotechnologies and AI.
Nature
Nov 8, 2017
Artificial intelligence and brain-computer interfaces must respect and preserve people’s privacy, identity, agency and equality, say Rafael Yuste, Sara Goering and colleagues.
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