AIMC Topic: Psychophysics
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Machine Learning Techniques for Simulating Human Psychophysical Testing of Low-Resolution Phosphene Face Images in Artificial Vision.
Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Feb 22, 2025
To evaluate the quality of artificial visual percepts generated by emerging methodologies, researchers often rely on labor-intensive and tedious human psychophysical experiments. These experiments necessitate repeated iterations upon any major/minor ...
Psychophysics may be the game-changer for deep neural networks (DNNs) to imitate the human vision.
The Behavioral and brain sciences
Dec 6, 2023
Psychologically faithful deep neural networks (DNNs) could be constructed by training with psychophysics data. Moreover, conventional DNNs are mostly monocular vision based, whereas the human brain relies mainly on binocular vision. DNNs developed as...
Visual Field Estimation by Probabilistic Classification.
IEEE journal of biomedical and health informatics
Dec 4, 2020
The gold standard clinical tool for evaluating visual dysfunction in cases of glaucoma and other disorders of vision remains the visual field or threshold perimetry exam. Administration of this exam has evolved over the years into a sophisticated, st...
Experimentally revealed stochastic preferences for multicomponent choice options.
Journal of experimental psychology. Animal learning and cognition
Jul 27, 2020
Realistic, everyday rewards contain multiple components. An apple has taste and size. However, we choose in single dimensions, simply preferring some apples to others. How can such single-dimensional preference relationships refer to multicomponent c...
Semantic and structural image segmentation for prosthetic vision.
PloS one
Jan 29, 2020
Prosthetic vision is being applied to partially recover the retinal stimulation of visually impaired people. However, the phosphenic images produced by the implants have very limited information bandwidth due to the poor resolution and lack of color ...
Haptic Feedback Perception and Learning With Cable-Driven Guidance in Exosuit Teleoperation of a Simulated Drone.
IEEE transactions on haptics
Jun 27, 2019
Robotics teleoperation enables human operators to control the movements of distally located robots. The development of new wearable interfaces as alternatives to hand-held controllers has created new modalities of control, which are more intuitive to...
Modeling second-order boundary perception: A machine learning approach.
PLoS computational biology
Mar 18, 2019
Visual pattern detection and discrimination are essential first steps for scene analysis. Numerous human psychophysical studies have modeled visual pattern detection and discrimination by estimating linear templates for classifying noisy stimuli defi...
Large-Scale, High-Resolution Comparison of the Core Visual Object Recognition Behavior of Humans, Monkeys, and State-of-the-Art Deep Artificial Neural Networks.
The Journal of neuroscience : the official journal of the Society for Neuroscience
Jul 13, 2018
Primates, including humans, can typically recognize objects in visual images at a glance despite naturally occurring identity-preserving image transformations (e.g., changes in viewpoint). A primary neuroscience goal is to uncover neuron-level mechan...
Tracking Gaze and Visual Focus of Attention of People Involved in Social Interaction.
IEEE transactions on pattern analysis and machine intelligence
Dec 13, 2017
The visual focus of attention (VFOA) has been recognized as a prominent conversational cue. We are interested in estimating and tracking the VFOAs associated with multi-party social interactions. We note that in this type of situations the participan...
In-Situ Force Augmentation Improves Surface Contact and Force Control.
IEEE transactions on haptics
Apr 21, 2017
Surgeons routinely perform surgery with noisy, sub-threshold, or obscured visual and haptic feedback, either due to the necessary surgical approach, or because the systems on which they are operating are exceedingly delicate. Technological solutions ...
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