Learn More
Both increases and decreases in methyl CpG-binding protein 2 (MeCP2) levels cause neurodevelopmental defects. We found that MeCP2 translation is regulated by microRNA 132 (miR132). Block of miR132-mediated repression increased MeCP2 and brain-derived neurotrophic factor (BDNF) levels in cultured rat neurons and the loss of MeCP2 reduced BDNF and miR132(More)
In this paper, we propose to employ the convolutional neural network (CNN) for learning to answer questions from the image. Our proposed CNN provides an end-to-end framework for learning not only the image representation, the composition model for question, but also the intermodal interaction between the image and question, for the generation of answer.(More)
In this paper, we propose multimodal convolutional neu-ral networks (m-CNNs) for matching image and sentence. Our m-CNN provides an end-to-end framework with convo-lutional architectures to exploit image representation, word composition, and the matching relations between the two modalities. More specifically, it consists of one image CNN encoding the image(More)
Heroin, like various illicit substances, has a negative impact on the frontal cognitive function after repeated abuse. We used functional magnetic resonance imaging (fMRI) to examine the neural substrates of response inhibition and competition in 18 healthy controls and assess the frontal neurocognition in 30 abstinent heroin dependents (AHD) as they(More)
Peripheral nerve injury causes neuropathic pain, which is characterized by the paradoxical sensations of positive and negative symptoms. Clinically, negative signs are frequently observed; however, their underlying molecular mechanisms are largely unknown. Dysfunction of C-fibers is assumed to underlie negative symptoms and is accompanied by long-lasting(More)
Brain activation underlying language processing in Chinese-English bilinguals was examined using fMRI in an orthographic search and a semantic classification task. In both tasks, brain areas activated by Chinese characters and English words were very similar to tasks examining Chinese reading using Chinese pinyin (an alphabetic Chinese script) and Chinese(More)
—In the research field of image processing, mean squared error (MSE) and peak signal-to-noise ratio (PSNR) are extensively adopted as the objective visual quality metrics, mainly because of their simplicity for calculation and optimization. However , it has been well recognized that these pixel-based difference measures correlate poorly with the human(More)
OBJECTIVES To characterize the brain activation patterns evoked by manual and electroacupuncture on normal human subjects. DESIGN We used functional magnetic resonance imaging (fMRI) to investigate the brain regions involved in electroacupuncture and manual acupuncture needle stimulation. A block design was adopted for the study. Each functional run(More)
Amyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative disease with selected both upper and lower motor neuron involvement. Although some inconsistent results exist, both pathological studies and many structural neuroimaging studies have revealed brain volume changes in ALS. To provide an objective overview of structural changes in ALS, a(More)
(2009) Empirical analysis of support vector machine ensemble classifiers. Abstract Ensemble classification – combining the results of a set of base learners – has received much attention in the machine learning community and has demonstrated promising capabilities in improving classification accuracy. Compared with neural network or decision tree ensembles,(More)