AIMC Topic: Photic Stimulation
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An MVMD-CCA Recognition Algorithm in SSVEP-Based BCI and Its Application in Robot Control.
IEEE transactions on neural networks and learning systems
May 2, 2022
This article proposes a novel recognition algorithm for the steady-state visual evoked potentials (SSVEP)-based brain-computer interface (BCI) system. By combining the advantages of multivariate variational mode decomposition (MVMD) and canonical cor...
GARAT: Generative Adversarial Learning for Robust and Accurate Tracking.
Neural networks : the official journal of the International Neural Network Society
Jan 21, 2022
Object tracking by the Siamese network has gained its popularity for its outstanding performance and considerable potential. However, most of the existing Siamese architectures are faced with great difficulties when it comes to the scenes where the t...
Hyperrealistic neural decoding for reconstructing faces from fMRI activations via the GAN latent space.
Scientific reports
Jan 7, 2022
Neural decoding can be conceptualized as the problem of mapping brain responses back to sensory stimuli via a feature space. We introduce (i) a novel experimental paradigm that uses well-controlled yet highly naturalistic stimuli with a priori known ...
Noise-trained deep neural networks effectively predict human vision and its neural responses to challenging images.
PLoS biology
Dec 9, 2021
Deep neural networks (DNNs) for object classification have been argued to provide the most promising model of the visual system, accompanied by claims that they have attained or even surpassed human-level performance. Here, we evaluated whether DNNs ...
Visual prototypes in the ventral stream are attuned to complexity and gaze behavior.
Nature communications
Nov 18, 2021
Early theories of efficient coding suggested the visual system could compress the world by learning to represent features where information was concentrated, such as contours. This view was validated by the discovery that neurons in posterior visual ...
Unveiling functions of the visual cortex using task-specific deep neural networks.
PLoS computational biology
Aug 13, 2021
The human visual cortex enables visual perception through a cascade of hierarchical computations in cortical regions with distinct functionalities. Here, we introduce an AI-driven approach to discover the functional mapping of the visual cortex. We r...
A Hybrid Brain-Computer Interface for Real-Life Meal-Assist Robot Control.
Sensors (Basel, Switzerland)
Jul 4, 2021
Assistant devices such as meal-assist robots aid individuals with disabilities and support the elderly in performing daily activities. However, existing meal-assist robots are inconvenient to operate due to non-intuitive user interfaces, requiring ad...
Coordination of top-down influence on V1 responses by interneurons and brain rhythms.
Bio Systems
Jun 15, 2021
Top-down processing in neocortex underlies functions such as prediction, expectation, and attention. Visual systems have much feedback connection that carries information of behavioral context. Top-down signals along feedback pathways modulate the re...
Aesthetic preference for art can be predicted from a mixture of low- and high-level visual features.
Nature human behaviour
May 20, 2021
It is an open question whether preferences for visual art can be lawfully predicted from the basic constituent elements of a visual image. Here, we developed and tested a computational framework to investigate how aesthetic values are formed. We show...
Limits to visual representational correspondence between convolutional neural networks and the human brain.
Nature communications
Apr 6, 2021
Convolutional neural networks (CNNs) are increasingly used to model human vision due to their high object categorization capabilities and general correspondence with human brain responses. Here we evaluate the performance of 14 different CNNs compare...
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