AIMC Topic: Reaction Time

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Determination of a tactile feedback strategy for use in robotized percutaneous procedures.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
Remote manipulation in robotized percutaneous procedures can offer increased safety to radiologists as well as patients. Providing feedback to the radiologist on needle-tissue interactions is however mandatory in addition to the medical images. A tac...
User-Computer Interface Robotics Radiology Humans Needles Touch Feedback, Sensory Equipment Design Skin Reaction Time
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Perceptual dissociations among views of objects, scenes, and reachable spaces.

Journal of experimental psychology. Human perception and performance Jun 1, 2019
In everyday experience, we interact with objects and we navigate through space. Extensive research has revealed that these visual behaviors are mediated by separable object-based and scene-based processing mechanisms in the mind and brain. However, w...
Space Perception Pattern Recognition, Visual Deep Learning Adolescent Neural Networks, Computer Humans Reaction Time Young Adult Attention Pattern Recognition, Automated Visual Perception Adult
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Semisupervised category learning facilitates the development of automaticity.

Attention, perception & psychophysics Jan 1, 2019
In the human category of learning, learning is studied in a supervised, an unsupervised, or a semisupervised way. The rare human semisupervised category of learning studies all focus on early learning. However, the impact of the semisupervised catego...
Learning Female Young Adult Humans Reaction Time Supervised Machine Learning Photic Stimulation Adult Male Adolescent Feedback, Psychological
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Using Smartphones and Machine Learning to Quantify Parkinson Disease Severity: The Mobile Parkinson Disease Score.

JAMA neurology Jul 1, 2018
IMPORTANCE: Current Parkinson disease (PD) measures are subjective, rater-dependent, and assessed in clinic. Smartphones can measure PD features, yet no smartphone-derived rating score exists to assess motor symptom severity in real-world settings.
Voice Dopamine Agents Mobile Applications Parkinson Disease Postural Balance Reaction Time Gait Gait Analysis Aged Male Middle Aged Severity of Illness Index Smartphone Humans Machine Learning Female
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Predicting similarity judgments in intertemporal choice with machine learning.

Psychonomic bulletin & review Apr 1, 2018
Similarity models of intertemporal choice are heuristics that choose based on similarity judgments of the reward amounts and time delays. Yet, we do not know how these judgments are made. Here, we use machine-learning algorithms to assess what factor...
Humans Machine Learning Algorithms Female Aged Young Adult Reward Judgment Time Factors Choice Behavior Decision Making Adult Reaction Time Male Middle Aged
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A connectionist modeling study of the neural mechanisms underlying pain's ability to reorient attention.

Cognitive, affective & behavioral neuroscience Aug 1, 2016
Connectionist modeling was used to investigate the brain mechanisms responsible for pain's ability to shift attention away from another stimulus modality and toward itself. Different connectionist model architectures were used to simulate the differe...
Humans Cues Evoked Potentials Locus Coeruleus Brain Mapping Pain Neural Networks, Computer Electroencephalography Attention Reaction Time Female Male
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Selection-for-action emerges in neural networks trained to learn spatial associations between stimuli and actions.

Cognitive processing Sep 1, 2015
The objects present in our environment evoke multiple conflicting actions at every moment. Thus, a mechanism that resolves this conflict is needed in order to avoid the production of chaotic ineffective behaviours. A plausible candidate for such role...
Physical Stimulation Spatial Learning Models, Neurological Reaction Time Attention Humans Neural Networks, Computer Computer Simulation
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Impulsive stabilization and impulsive synchronization of discrete-time delayed neural networks.

IEEE transactions on neural networks and learning systems Apr 1, 2015
This paper investigates the problems of impulsive stabilization and impulsive synchronization of discrete-time delayed neural networks (DDNNs). Two types of DDNNs with stabilizing impulses are studied. By introducing the time-varying Lyapunov functio...
Time Factors Reaction Time Nonlinear Dynamics Algorithms Computer Simulation Humans Communication Neural Networks, Computer
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