AIMC Topic: Psychomotor Performance

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A broader view on deriving a reference dose for THC traces in foods.

Critical reviews in toxicology Feb 17, 2022
An Acute Reference Dose (ARfD) of 1 µg of -9-tetrahydrocannabinol (THC) per kilogram (kg) of body weight (bw) per day was recommended by the European Food Safety Authority (EFSA) for its assessment of possible acute health risks from the intake of in...
Cannabis Humans Dronabinol Adult No-Observed-Adverse-Effect Level Administration, Oral Psychomotor Performance
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Learning Enhanced Feature Responses for Visual Object Tracking.

Computational intelligence and neuroscience Feb 8, 2022
Visual object tracking is an important topic in computer vision, which has successfully utilized pretrained convolutional neural networks, such as VGG and ResNet. However, the features extracted by these pretrained models are high dimensional, and th...
Neural Networks, Computer Algorithms Learning Attention Psychomotor Performance
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Constructing neural network models from brain data reveals representational transformations linked to adaptive behavior.

Nature communications Feb 3, 2022
The human ability to adaptively implement a wide variety of tasks is thought to emerge from the dynamic transformation of cognitive information. We hypothesized that these transformations are implemented via conjunctive activations in "conjunction hu...
Psychomotor Performance Neural Networks, Computer Humans Female Neural Pathways Cohort Studies Algorithms Young Adult Nerve Net Brain Cognition Adaptation, Psychological Adult Magnetic Resonance Imaging Male Brain Mapping
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Unraveling somatotopic organization in the human brain using machine learning and adaptive supervoxel-based parcellations.

NeuroImage Nov 12, 2021
In addition to the well-established somatotopy in the pre- and post-central gyrus, there is now strong evidence that somatotopic organization is evident across other regions in the sensorimotor network. This raises several experimental questions: To ...
Humans Machine Learning Algorithms Movement Sensorimotor Cortex Image Processing, Computer-Assisted Magnetic Resonance Imaging Female Brain Mapping Psychomotor Performance Young Adult Male
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Brain oscillatory correlates of visuomotor adaptive learning.

NeuroImage Oct 21, 2021
Sensorimotor adaptation involves the recalibration of the mapping between motor command and sensory feedback in response to movement errors. Although adaptation operates within individual movements on a trial-to-trial basis, it can also undergo learn...
Prefrontal Cortex Brain Mapping Electroencephalography Healthy Volunteers Female Adult Male Cortical Synchronization Psychomotor Performance Movement Adaptation, Physiological Motor Cortex Humans Machine Learning Learning
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Intentions with actions: The role of intentionality attribution on the vicarious sense of agency in Human-Robot interaction.

Quarterly journal of experimental psychology (2006) Sep 2, 2021
Sense of Agency (SoA) is the feeling of control over one's actions and their consequences. In social contexts, people experience a "vicarious" SoA over other humans' actions; however, the phenomenon disappears when the other agent is a computer. This...
Emotions Robotics Intention Psychomotor Performance Social Perception Humans
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Generative Adversarial Networks-Based Data Augmentation for Brain-Computer Interface.

IEEE transactions on neural networks and learning systems Aug 31, 2021
The performance of a classifier in a brain-computer interface (BCI) system is highly dependent on the quality and quantity of training data. Typically, the training data are collected in a laboratory where the users perform tasks in a controlled envi...
Psychomotor Performance Brain-Computer Interfaces Imagination Machine Learning Electroencephalography Algorithms Attention Humans Computer Simulation Healthy Volunteers Neural Networks, Computer Female Reproducibility of Results Young Adult Adult Male
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Utilizing deep neural networks and electroencephalogram for objective evaluation of surgeon's distraction during robot-assisted surgery.

Brain research Aug 2, 2021
OBJECTIVE: To develop an algorithm for objective evaluation of distraction of surgeons during robot-assisted surgery (RAS).
Reproducibility of Results Adult Students, Medical Male Surgeons Middle Aged Deep Learning Clinical Competence Humans Neural Networks, Computer Algorithms Female Psychomotor Performance General Surgery Models, Statistical Electroencephalography Robotic Surgical Procedures
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Explaining distortions in metacognition with an attractor network model of decision uncertainty.

PLoS computational biology Jul 26, 2021
Metacognition is the ability to reflect on, and evaluate, our cognition and behaviour. Distortions in metacognition are common in mental health disorders, though the neural underpinnings of such dysfunction are unknown. One reason for this is that mo...
Uncertainty Metacognition Humans Linear Models Models, Neurological Neural Networks, Computer Models, Psychological Decision Making Mental Disorders Judgment Bias Computational Biology Psychomotor Performance
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Deep learning for sex classification in resting-state and task functional brain networks from the UK Biobank.

NeuroImage Jul 20, 2021
Classification of whole-brain functional connectivity MRI data with convolutional neural networks (CNNs) has shown promise, but the complexity of these models impedes understanding of which aspects of brain activity contribute to classification. Whil...
United Kingdom Rest Nerve Net Humans Databases, Factual Magnetic Resonance Imaging Biological Specimen Banks Sex Characteristics Brain Psychomotor Performance Female Male Deep Learning
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