AIMC Topic: Photic Stimulation

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Detecting Autism Spectrum Disorder and Attention Deficit Hyperactivity Disorder Using Multimodal Time-Frequency Analysis with Machine Learning Using the Electroretinogram from Two Flash Strengths.

Journal of autism and developmental disorders Feb 23, 2024
PURPOSE: Autism spectrum disorder (ASD) and attention deficit hyperactivity disorder (ADHD) are conditions that similarly alter cognitive functioning ability and challenge the social interaction, attention, and communication skills of affected indivi...
Young Adult Adult Male Autism Spectrum Disorder Female Photic Stimulation Attention Deficit Disorder with Hyperactivity Electroretinography Child Retina Adolescent Humans Machine Learning
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Scene context is predictive of unconstrained object similarity judgments.

Cognition Jul 24, 2023
What makes objects alike in the human mind? Computational approaches for characterizing object similarity have largely focused on the visual forms of objects or their linguistic associations. However, intuitive notions of object similarity may depend...
Judgment Photic Stimulation Pattern Recognition, Visual Neural Networks, Computer Humans Learning Problem Solving
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Deep learning applied to EEG source-data reveals both ventral and dorsal visual stream involvement in holistic processing of social stimuli.

Scientific reports May 5, 2023
Perception of social stimuli (faces and bodies) relies on "holistic" (i.e., global) mechanisms, as supported by picture-plane inversion: perceiving inverted faces/bodies is harder than perceiving their upright counterpart. Albeit neuroimaging evidenc...
Deep Learning Head Photic Stimulation Pattern Recognition, Visual Electroencephalography Face Brain Mapping Orientation
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Emergence of time persistence in a data-driven neural network model.

eLife Mar 14, 2023
Establishing accurate as well as interpretable models of network activity is an open challenge in systems neuroscience. Here, we infer an energy-based model of the anterior rhombencephalic turning region (ARTR), a circuit that controls zebrafish swim...
Swimming Photic Stimulation Neurons Zebrafish Animals Models, Neurological Neural Networks, Computer
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Deeper neural network models better reflect how humans cope with contrast variation in object recognition.

Neuroscience research Jan 19, 2023
Visual inputs are far from ideal in everyday situations such as in the fog where the contrasts of input stimuli are low. However, human perception remains relatively robust to contrast variations. To provide insights about the underlying mechanisms o...
Visual Perception Pattern Recognition, Visual Humans Neural Networks, Computer Photic Stimulation
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Brain-Controlled 2D Navigation Robot Based on a Spatial Gradient Controller and Predictive Environmental Coordinator.

IEEE journal of biomedical and health informatics Dec 8, 2022
OBJECTIVE: Brain-computer interfaces (BCIs) have been used in two-dimensional (2D) navigation robotic devices, such as brain-controlled wheelchairs and brain-controlled vehicles. However, contemporary BCI systems are driven by binary selective contro...
Humans Brain Robotics Spatial Navigation Electroencephalography Avoidance Learning Adolescent Adult Female Photic Stimulation Biomechanical Phenomena Brain-Computer Interfaces Young Adult Environment Male
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Distinguishing shadows from surface boundaries using local achromatic cues.

PLoS computational biology Sep 14, 2022
In order to accurately parse the visual scene into distinct surfaces, it is essential to determine whether a local luminance edge is caused by a boundary between two surfaces or a shadow cast across a single surface. Previous studies have demonstrate...
Photic Stimulation Contrast Sensitivity Neural Networks, Computer Cues Humans
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Visual Detection and Image Processing of Parking Space Based on Deep Learning.

Sensors (Basel, Switzerland) Sep 3, 2022
The automatic parking system based on vision is greatly affected by uneven lighting, which is difficult to make an accurate judgment on parking spaces in the case of complex image information. To solve this problem, this paper proposes a parking spac...
Deep Learning Image Processing, Computer-Assisted Photic Stimulation Neural Networks, Computer
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Cross-Platform Implementation of an SSVEP-Based BCI for the Control of a 6-DOF Robotic Arm.

Sensors (Basel, Switzerland) Jul 2, 2022
Robotics has been successfully applied in the design of collaborative robots for assistance to people with motor disabilities. However, man-machine interaction is difficult for those who suffer severe motor disabilities. The aim of this study was to ...
Software Humans Brain-Computer Interfaces Robotics Photic Stimulation Evoked Potentials Evoked Potentials, Visual Electroencephalography
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Machine learning for comprehensive prediction of high risk for Alzheimer's disease based on chromatic pupilloperimetry.

Scientific reports Jun 15, 2022
Currently there are no reliable biomarkers for early detection of Alzheimer's disease (AD) at the preclinical stage. This study assessed the pupil light reflex (PLR) for focal red and blue light stimuli in central and peripheral retina in 125 cogniti...
Rod Opsins Alzheimer Disease Retinal Ganglion Cells Photic Stimulation Reflex, Pupillary Pupil Aged Humans Middle Aged Machine Learning Light
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