Recently, statistical dependence measures such as mutual information and kernelized covariance have been successfully applied to clustering, called dependencemaximization clustering. In this paper, we propose a novel dependencemaximization clustering method based on an estimator of a squared-loss variant of mutual information called least-squares mutual information. A notable advantage of the p...

The classical time-frequency distributions represent timeand frequency-localized energy. However, it is not an easy task to analyze multiple signals that have been simultaneously collected. In this paper, a new concept of non-parametric detection and classification of the signals is proposed using the mutual information measures in the time-frequency domain. The time-frequency-based self and mu...

We define a metric, mutual information in frequency (MI-in-frequency), to detect and quantify the statistical dependence between different frequency components in the data, referred to as cross-frequency coupling and apply it to electrophysiological recordings from the brain to infer crossfrequency coupling. The current metrics used to quantify the cross-frequency coupling in neuroscience canno...

In this study, local neuronal interactions in the midbrain dorsal raphe nucleus (DRN) were analyzed by the use of autocorrelation and cross-correlation histograms. The autocorrelograms of serotonin (5-hydroxytryptamine; 5-HT)-containing cells showed an initial trough and subsequent periodicity which corresponded to their regular rhythmic firing pattern. Cross-correlograms revealed that all adja...

In 3D action recognition, there exists rich complementary information between skeleton modalities. Nevertheless, how to model and utilize this remains a challenging problem for self-supervised representation learning. work, we formulate the cross-modal interaction as bidirectional knowledge distillation problem. Different from classic solutions that transfer of fixed pre-trained teacher student...

Extension of the plasma membrane is one of the first steps in cell migration. Understanding how cells "choose" between various types of membrane protrusion enhances our knowledge of both normal and cancer cell physiology. The EGF receptor is a paradigm for understanding how transmembrane receptor tyrosine kinases regulate intracellular signaling following ligand stimulation. Evidence from the p...

Detection of damaged buildings is a form object detection and essential for disaster emergency response efforts. In recent years, deep learning has been widely used in detection, with successful target models such as Faster-Rcnn YOLO being proposed. However, training usually requires large amount labeled data. Due to the high threshold aerial remote sensing data collection, collapsed very spars...

PURPOSE In the last few years, bone has been recognized as an endocrine organ that modulates glucose metabolism by secretion of osteocalcin, an osteoblast-specific hormone, that influences fat deposition and blood sugar levels. To date, however, very few in vitro models have been developed to investigate, at the molecular levels, the relationship between glucose, insulin and osteocalcin. This s...