AIMC Topic: Models, Psychological

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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...
Humans Neural Networks, Computer Language Adult 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...
Algorithms Reproducibility of Results Young Adult Adolescent Social Media Humans Age Factors Metadata Machine Learning Adult Models, Psychological Middle Aged
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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...
Humans Animals Ecosystem Models, Biological Fishes Synthetic Biology Behavior, Animal Computational Biology Systems Biology Unsupervised Machine Learning Systems Analysis Models, Psychological Behavior Social Behavior
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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...
Self Report Models, Psychological Emotional Regulation Stress Disorders, Post-Traumatic Emotions Humans Machine Learning
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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...
Humans Brain Emotions Unsupervised Machine Learning Grounded Theory Datasets as Topic Supervised Machine Learning Magnetic Resonance Imaging Models, Psychological Cluster Analysis Self Report Psychophysiology Psychology
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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...
Natural Language Processing Data Mining Models, Psychological COVID-19 Health Knowledge, Attitudes, Practice Social Media Humans Pandemics
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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), ...
Recognition, Psychology Humans Neural Networks, Computer Models, Psychological Visual Perception Cognition Reaction Time
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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...
Cognition Decision Making Memory Visual Cortex Humans Models, Psychological Deep Learning Judgment Pattern Recognition, Visual
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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...
Reinforcement, Psychology Markov Chains Task Performance and Analysis Humans Models, Psychological Brain Neural Networks, Computer Animals Algorithms Reward
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Using Machine Learning to Generate Novel Hypotheses: Increasing Optimism About COVID-19 Makes People Less Willing to Justify Unethical Behaviors.

Psychological science Sep 14, 2020
How can we nudge people to not engage in unethical behaviors, such as hoarding and violating social-distancing guidelines, during the COVID-19 pandemic? Because past research on antecedents of unethical behavior has not provided a clear answer, we tu...
Pneumonia, Viral Male COVID-19 Middle Aged Female Psychological Distance Coronavirus Infections Humans Surveys and Questionnaires Adult Optimism Machine Learning Models, Psychological Pandemics
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