AIMC Topic: Photic Stimulation

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Tree-CNN: A hierarchical Deep Convolutional Neural Network for incremental learning.

Neural networks : the official journal of the International Neural Network Society Sep 19, 2019
Over the past decade, Deep Convolutional Neural Networks (DCNNs) have shown remarkable performance in most computer vision tasks. These tasks traditionally use a fixed dataset, and the model, once trained, is deployed as is. Adding new information to...
Neural Networks, Computer Animals Deep Learning Humans Pattern Recognition, Automated Photic Stimulation
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Distinct Mechanisms of Imagery Differentially Influence Speech Perception.

eNeuro Sep 19, 2019
Neural representation can be induced without external stimulation, such as in mental imagery. Our previous study found that imagined speaking and imagined hearing modulated perceptual neural responses in opposite directions, suggesting motor-to-senso...
Neural Networks, Computer Female Young Adult Speech Perception Humans Imagination Photic Stimulation Male Acoustic Stimulation
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Visual Evoked Response Modulation Occurs in a Complementary Manner Under Dynamic Circuit Framework.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Sep 12, 2019
The steady-state visual-evoked potential (SSVEP) induced by the periodic visual stimulus plays an important role in vision research. An increasing number of studies use the SSVEP to manipulate intrinsic oscillation and further regulate test performan...
Humans Neural Networks, Computer Algorithms Alpha Rhythm Brain-Computer Interfaces Photic Stimulation Adult Visual Cortex Computer Simulation Evoked Potentials, Visual Male Cerebral Cortex Female Electroencephalography
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Deep Spiking Neural Network for Video-Based Disguise Face Recognition Based on Dynamic Facial Movements.

IEEE transactions on neural networks and learning systems Jul 19, 2019
With the increasing popularity of social media and smart devices, the face as one of the key biometrics becomes vital for person identification. Among those face recognition algorithms, video-based face recognition methods could make use of both temp...
Automated Facial Recognition Facial Expression Neural Networks, Computer Photic Stimulation Action Potentials Humans Video Recording
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Characterization of the non-stationary nature of steady-state visual evoked potentials using echo state networks.

PloS one Jul 5, 2019
State Visual Evoked Potentials (SSVEPs) arise from a resonance phenomenon in the visual cortex that is produced by a repetitive visual stimulus. SSVEPs have long been considered a steady-state response resulting from purely oscillatory components pha...
Visual Cortex Evoked Potentials, Visual Photic Stimulation Male Algorithms Humans Adult Middle Aged Neural Networks, Computer Models, Neurological Electroencephalography Brain-Computer Interfaces
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A multimodal convolutional neuro-fuzzy network for emotion understanding of movie clips.

Neural networks : the official journal of the International Neural Network Society Jul 2, 2019
Multimodal emotion understanding enables AI systems to interpret human emotions. With accelerated video surge, emotion understanding remains challenging due to inherent data ambiguity and diversity of video content. Although deep learning has made a ...
Motion Pictures Algorithms Deep Learning Humans Emotions Fuzzy Logic Photic Stimulation Neural Networks, Computer
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Robotic Sensing and Stimuli Provision for Guided Plant Growth.

Journal of visualized experiments : JoVE Jul 1, 2019
Robot systems are actively researched for manipulation of natural plants, typically restricted to agricultural automation activities such as harvest, irrigation, and mechanical weed control. Extending this research, we introduce here a novel methodol...
Plant Development Robotics Light Phaseolus Photic Stimulation
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Figure-Ground Organization in Natural Scenes: Performance of a Recurrent Neural Model Compared with Neurons of Area V2.

eNeuro Jun 28, 2019
A crucial step in understanding visual input is its organization into meaningful components, in particular object contours and partially occluded background structures. This requires that all contours are assigned to either the foreground or the back...
Humans Neural Networks, Computer Photic Stimulation Form Perception Pattern Recognition, Visual Visual Cortex Models, Neurological Neurons
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Branched convolutional neural networks incorporated with Jacobian deep regression for facial landmark detection.

Neural networks : the official journal of the International Neural Network Society Jun 19, 2019
Facial landmark detection is to localize multiple facial key-points for a given facial image. While many methods have achieved remarkable performance in recent years, the accuracy remains unsatisfactory due to some uncontrolled conditions such as occ...
Humans Algorithms Photic Stimulation Neural Networks, Computer Facial Recognition
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Cognitive Action Laws: The Case of Visual Features.

IEEE transactions on neural networks and learning systems May 8, 2019
This paper proposes a theory for understanding perceptual learning processes within the general framework of laws of nature. Artificial neural networks are regarded as systems whose connections are Lagrangian variables, namely, functions depending on...
Machine Learning Photic Stimulation Neural Networks, Computer Cognition Pattern Recognition, Automated
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