AIMC Topic: Mental Processes

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A new computational account of cognitive control over reinforcement-based decision-making: Modeling of a probabilistic learning task.

Neural networks : the official journal of the International Neural Network Society Aug 20, 2015
Recent work on decision-making field offers an account of dual-system theory for decision-making process. This theory holds that this process is conducted by two main controllers: a goal-directed system and a habitual system. In the reinforcement lea...
Adaptation, Psychological Evoked Potentials Models, Statistical Reaction Time Obsessive-Compulsive Disorder Reinforcement, Psychology Mental Processes Algorithms Computer Simulation Cognition Decision Making Humans Machine Learning
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Adaptive intermittent control: A computational model explaining motor intermittency observed in human behavior.

Neural networks : the official journal of the International Neural Network Society Mar 30, 2015
It is a fundamental question how our brain performs a given motor task in a real-time fashion with the slow sensorimotor system. Computational theory proposed an influential idea of feed-forward control, but it has mainly treated the case that the mo...
Nonlinear Dynamics Behavior Models, Neurological Psychomotor Performance Humans Neural Networks, Computer Mental Processes Algorithms Brain Computer Simulation Young Adult Male
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Marr's Attacks: On Reductionism and Vagueness.

Topics in cognitive science Mar 5, 2015
It has been suggested that Marr took the three levels he famously identifies to be independent. In this paper, we argue that Marr's view is more nuanced. Specifically, we show that the view explicitly articulated in his work attempts to integrate the...
Neural Networks, Computer Psychological Theory Mental Processes Humans
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Modeling the dynamics of evaluation: a multilevel neural network implementation of the iterative reprocessing model.

Personality and social psychology review : an official journal of the Society for Personality and Social Psychology, Inc Aug 28, 2014
We present a neural network implementation of central components of the iterative reprocessing (IR) model. The IR model argues that the evaluation of social stimuli (attitudes, stereotypes) is the result of the IR of stimuli in a hierarchy of neural ...
Models, Psychological Multilevel Analysis Social Theory Stereotyping Humans Neural Networks, Computer Mental Processes Attitude Social Perception
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A Cross-modality Deep Learning Method for Measuring Decision Confidence from Eye Movement Signals.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2022
Electroencephalography (EEG) signals can effectively measure the level of human decision confidence. However, it is difficult to acquire EEG signals in practice due to the ex-pensive cost and complex operation, while eye movement signals are much eas...
Humans Mental Processes Deep Learning Eye Movements Electroencephalography
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Non-Contact REM Sleep Estimation Correction by Time-Series Confidence of Predictions: From Binary to Continuous Prediction in Machine Learning for Biological Data.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2022
This paper focuses on the REM sleep estimation with bio-vibration data acquired from mattress sensor, and proposes its "correction" method based on Time-Series Confidence (TSC) of the REM sleep prediction calculated by Random Forest (RF) as one of th...
Humans Machine Learning Mental Processes Time Factors Sleep, REM
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Identifying tracé alternant activity in neonatal EEG using an inter-burst detection approach.

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
Electroencephalography (EEG) is an important clinical tool for reviewing sleep-wake cycling in neonates in intensive care. Tracé alternant (TA)-a characteristic pattern of EEG activity during quiet sleep in term neonates-is defined by alternating per...
Humans Mental Processes Support Vector Machine Sleep, Slow-Wave Infant, Newborn Electroencephalography Time Factors
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[Dancing with artificial intelligence].

Revue medicale suisse Jun 24, 2015
Algorithms Humans Learning Mental Processes Social Adjustment Artificial Intelligence Social Change
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