AIMC Topic: Models, Psychological

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A direct comparison of theory-driven and machine learning prediction of suicide: A meta-analysis.

PloS one Apr 12, 2021
Theoretically-driven models of suicide have long guided suicidology; however, an approach employing machine learning models has recently emerged in the field. Some have suggested that machine learning models yield improved prediction as compared to t...
Psychology Models, Psychological Machine Learning Forecasting Suicide Humans
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What Can Network Science Tell Us About Phonology and Language Processing?

Topics in cognitive science Apr 9, 2021
Contemporary psycholinguistic models place significant emphasis on the cognitive processes involved in the acquisition, recognition, and production of language but neglect many issues related to the representation of language-related information in t...
Neural Networks, Computer Language Adult Humans Speech Perception Phonetics Recognition, Psychology Psycholinguistics Speech Cognition Models, Psychological
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Predicting Age Groups of Reddit Users Based on Posting Behavior and Metadata: Classification Model Development and Validation.

JMIR public health and surveillance Mar 16, 2021
BACKGROUND: Social media are important for monitoring perceptions of public health issues and for educating target audiences about health; however, limited information about the demographics of social media users makes it challenging to identify conv...
Metadata Young Adult Models, Psychological Machine Learning Adult Adolescent Humans Algorithms Middle Aged Age Factors Reproducibility of Results Social Media
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Unsupervised manifold learning of collective behavior.

PLoS computational biology Feb 12, 2021
Collective behavior is an emergent property of numerous complex systems, from financial markets to cancer cells to predator-prey ecological systems. Characterizing modes of collective behavior is often done through human observation, training generat...
Computational Biology Systems Biology Unsupervised Machine Learning Humans Animals Ecosystem Behavior, Animal Models, Psychological Behavior Models, Biological Fishes Synthetic Biology Social Behavior Systems Analysis
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A machine learning approach to modeling PTSD and difficulties in emotion regulation.

Psychiatry research Jan 5, 2021
Despite evidence for the association between emotion regulation difficulties and posttraumatic stress disorder (PTSD), less is known about the specific emotion regulation abilities that are most relevant to PTSD severity. This study examined both ite...
Machine Learning Stress Disorders, Post-Traumatic Emotions Self Report Models, Psychological Emotional Regulation Humans
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Comparing supervised and unsupervised approaches to emotion categorization in the human brain, body, and subjective experience.

Scientific reports Nov 20, 2020
Machine learning methods provide powerful tools to map physical measurements to scientific categories. But are such methods suitable for discovering the ground truth about psychological categories? We use the science of emotion as a test case to expl...
Magnetic Resonance Imaging Psychophysiology Cluster Analysis Grounded Theory Emotions Humans Brain Psychology Unsupervised Machine Learning Datasets as Topic Supervised Machine Learning Models, Psychological Self Report
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Public Perception of the COVID-19 Pandemic on Twitter: Sentiment Analysis and Topic Modeling Study.

JMIR public health and surveillance Nov 11, 2020
BACKGROUND: COVID-19 is a scientifically and medically novel disease that is not fully understood because it has yet to be consistently and deeply studied. Among the gaps in research on the COVID-19 outbreak, there is a lack of sufficient infoveillan...
Health Knowledge, Attitudes, Practice Data Mining Social Media Humans Models, Psychological Natural Language Processing Pandemics COVID-19
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Combining convolutional neural networks and cognitive models to predict novel object recognition in humans.

Journal of experimental psychology. Learning, memory, and cognition Nov 5, 2020
Object representations from convolutional neural network (CNN) models of computer vision (LeCun, Bengio, & Hinton, 2015) were used to drive a cognitive model of decision making, the linear ballistic accumulator (LBA) model (Brown & Heathcote, 2008), ...
Humans Neural Networks, Computer Cognition Reaction Time Models, Psychological Visual Perception Recognition, Psychology
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Capturing human categorization of natural images by combining deep networks and cognitive models.

Nature communications Oct 27, 2020
Human categorization is one of the most important and successful targets of cognitive modeling, with decades of model development and assessment using simple, low-dimensional artificial stimuli. However, it remains unclear how these findings relate t...
Judgment Decision Making Pattern Recognition, Visual Humans Memory Deep Learning Visual Cortex Models, Psychological Cognition
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Reward-predictive representations generalize across tasks in reinforcement learning.

PLoS computational biology Oct 15, 2020
In computer science, reinforcement learning is a powerful framework with which artificial agents can learn to maximize their performance for any given Markov decision process (MDP). Advances over the last decade, in combination with deep neural netwo...
Markov Chains Humans Reinforcement, Psychology Brain Task Performance and Analysis Neural Networks, Computer Animals Models, Psychological Algorithms Reward
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