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Practice improves discrimination of many basic visual features, such as contrast, orientation, and positional offset. Perceptual learning of many of these tasks is found to be retinal location specific, in that learning transfers little to an untrained retinal location. In most perceptual learning models, this location specificity is interpreted as a(More)
Most existing clustering algorithms can be only applied to homogeneous wireless sensor networks with uniform maximal transmission power. And cluster heads elected by some algorithms can not distribute uniformly under heterogeneous networks environment where the maximal transmission power of each node may be different. So an energy-efficient clustering(More)
Location-specific perceptual learning can be rendered transferrable to a new location with double training, in which feature training (e.g., contrast) is accompanied by additional location training at the new location even with an irrelevant task (e.g. orientation). Here we investigated the impact of relevancy (to feature training) and demand of location(More)
The seminal study on perceptual learning of TDT (a texture discrimination task) has greatly shaped the field of perceptual learning up to the present time. However, here we demonstrate that this classic learning mostly involves temporal learning, rather than texture discrimination learning. Specifically, observers first practiced a letter identification(More)
BACKGROUND Cerebrovascular segmentation plays an important role in medical diagnosis. This study was conducted to develop a threshold segmentation algorithm for automatic extraction and volumetric quantification of cerebral vessels on brain magnetic resonance angiography (MRA) images. NEW METHODS The MRA images of 10 individuals were acquired using a 3(More)
Secoisolariciresinoldiglycoside (SDG), a predominant lignan in flaxseed, has antioxidant activity as a dietary supplement. The purpose of the present study was to investigate the antidepressant-like effect and the possible mechanism of flaxseed SDG when the ovariectomized mice were exposed to the unpredictable chronic mild stress procedure. Chronic stress(More)
Curcumin is a major active component isolated from Curcuma longa. Previously, we have reported its significant antidepressant effect. However, the mechanisms underlying the antidepressant effects are still obscure. In the present study, we explored the effect of curcumin against glutamate excitotoxicity, mainly focusing on the neuroprotective effects of(More)
Curcuma longa is a main constituent of many traditional Chinese medicines, such as Xiaoyao-san, used to manage mental disorders effectively. Curcumin is a major active component of C. longa and its antidepressant-like effect has been previously demonstrated in the forced swimming test. The purpose of this study was to explore the possible contribution of(More)
Curcumin is a major constituent of curcuma longa, a traditional medicine used to manage mental disorders effectively in China. The neuroprotective effects of curcumin have been demonstrated in our previous studies. In the present research, we confirmed this effect by showing that curcumin application promoted the viability of cultured rodent cortical(More)
Trans-resveratrol is a phenolic compound enriched in polygonum cuspidatum and has diverse biological activities. There is only limited information about the antidepressant-like effect of trans-resveratrol. The present study investigated whether trans-resveratrol has antidepressant-like activity in rats exposed to chronic stress by using two behavioral(More)