AIMC Topic: Photic Stimulation
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A novel system of SSVEP-based human-robot coordination.
Journal of neural engineering
Sep 17, 2018
OBJECTIVE: Human-robot coordination (HRC) aims to enable human and robot to form a tightly coupled system to accomplish a task. One of its important application prospects is to improve the physical function of the disabled. However, the low level of ...
Multiview Multitask Gaze Estimation With Deep Convolutional Neural Networks.
IEEE transactions on neural networks and learning systems
Sep 3, 2018
Gaze estimation, which aims to predict gaze points with given eye images, is an important task in computer vision because of its applications in human visual attention understanding. Many existing methods are based on a single camera, and most of the...
Evaluating (and Improving) the Correspondence Between Deep Neural Networks and Human Representations.
Cognitive science
Sep 3, 2018
Decades of psychological research have been aimed at modeling how people learn features and categories. The empirical validation of these theories is often based on artificial stimuli with simple representations. Recently, deep neural networks have r...
Low-rank and sparse embedding for dimensionality reduction.
Neural networks : the official journal of the International Neural Network Society
Aug 18, 2018
In this paper, we propose a robust subspace learning (SL) framework for dimensionality reduction which further extends the existing SL methods to a low-rank and sparse embedding (LRSE) framework from three aspects: overall optimum, robustness and gen...
Adaptive non-negative projective semi-supervised learning for inductive classification.
Neural networks : the official journal of the International Neural Network Society
Aug 11, 2018
We discuss the inductive classification problem by proposing a joint framework termed Adaptive Non-negative Projective Semi-Supervised Learning (ANP-SSL). Specifically, ANP-SSL integrates the adaptive inductive label propagation, adaptive reconstruct...
Exploring the prediction of emotional valence and pharmacologic effect across fMRI studies of antidepressants.
NeuroImage. Clinical
Aug 11, 2018
BACKGROUND: Clinically approved antidepressants modulate the brain's emotional valence circuits, suggesting that the response of these circuits could serve as a biomarker for screening candidate antidepressant drugs. However, it is necessary that the...
Shared spatiotemporal category representations in biological and artificial deep neural networks.
PLoS computational biology
Jul 24, 2018
Visual scene category representations emerge very rapidly, yet the computational transformations that enable such invariant categorizations remain elusive. Deep convolutional neural networks (CNNs) perform visual categorization at near human-level ac...
Improved multi-view privileged support vector machine.
Neural networks : the official journal of the International Neural Network Society
Jul 23, 2018
Multi-view learning (MVL) concentrates on the problem of learning from the data represented by multiple distinct feature sets. The consensus and complementarity principles play key roles in multi-view modeling. By exploiting the consensus principle o...
Joint moment-matching autoencoders.
Neural networks : the official journal of the International Neural Network Society
Jul 17, 2018
Image transformation between multiple domains has become a challenging problem in deep generative networks. This is because, in real-world applications, finding paired images in different domains is an expensive and impractical task. This paper propo...
Sensory cortex is optimized for prediction of future input.
eLife
Jun 18, 2018
Neurons in sensory cortex are tuned to diverse features in natural scenes. But what determines which features neurons become selective to? Here we explore the idea that neuronal selectivity is optimized to represent features in the recent sensory pas...
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