AIMC Topic: Photic Stimulation
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Application of a brain-computer interface for person authentication using EEG responses to photo stimuli.
Journal of integrative neuroscience
Aug 15, 2018
In this paper, a personal authentication system that can effectively identify individuals by generating unique electroencephalogram signal features in response to self-face and non-self-face photos is presented. To achieve performance stability, a se...
Determination of Saccade Latency Distributions using Video Recordings from Consumer-grade Devices.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2018
Quantitative and accurate tracking of neurocognitive decline remains an ongoing challenge. We seek to address this need by focusing on robust and unobtrusive measurement of saccade latency - the time between the presentation of a visual stimulus and ...
A Sibling-Mediated Intervention for Children with Autism Spectrum Disorder: Using the Natural Language Paradigm (NLP).
Journal of autism and developmental disorders
May 1, 2018
We taught three typically developing siblings to occasion speech by implementing the Natural Language Paradigm (NLP) with their brothers with autism spectrum disorder (ASD). A non-concurrent multiple baseline design across children with ASD and sibli...
Scanpath modeling and classification with hidden Markov models.
Behavior research methods
Feb 1, 2018
How people look at visual information reveals fundamental information about them; their interests and their states of mind. Previous studies showed that scanpath, i.e., the sequence of eye movements made by an observer exploring a visual stimulus, ca...
Augmenting intracortical brain-machine interface with neurally driven error detectors.
Journal of neural engineering
Dec 1, 2017
OBJECTIVE: Making mistakes is inevitable, but identifying them allows us to correct or adapt our behavior to improve future performance. Current brain-machine interfaces (BMIs) make errors that need to be explicitly corrected by the user, thereby con...
A Rotational Motion Perception Neural Network Based on Asymmetric Spatiotemporal Visual Information Processing.
IEEE transactions on neural networks and learning systems
Nov 1, 2017
All complex motion patterns can be decomposed into several elements, including translation, expansion/contraction, and rotational motion. In biological vision systems, scientists have found that specific types of visual neurons have specific preferen...
A parametric texture model based on deep convolutional features closely matches texture appearance for humans.
Journal of vision
Oct 1, 2017
Our visual environment is full of texture-"stuff" like cloth, bark, or gravel as distinct from "things" like dresses, trees, or paths-and humans are adept at perceiving subtle variations in material properties. To investigate image features important...
Visual properties and memorising scenes: Effects of image-space sparseness and uniformity.
Attention, perception & psychophysics
Oct 1, 2017
Previous studies have demonstrated that humans have a remarkable capacity to memorise a large number of scenes. The research on memorability has shown that memory performance can be predicted by the content of an image. We explored how remembering an...
Visual Attention: Size Matters.
Current biology : CB
Sep 25, 2017
When searching real-world scenes, human attention is guided by knowledge of the plausible size of target object (if an object is six feet tall, it isn't your cat). Computer algorithms typically do not do this, but perhaps they should.
An autonomous robot inspired by insect neurophysiology pursues moving features in natural environments.
Journal of neural engineering
Aug 1, 2017
OBJECTIVE: Many computer vision and robotic applications require the implementation of robust and efficient target-tracking algorithms on a moving platform. However, deployment of a real-time system is challenging, even with the computational power o...
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