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(CNNs) have been immensely successful in many high-level computer vision tasks given large labeled datasets. However, for video semantic object segmentation, a domain where labels are scarce, effectively exploiting the representation power of CNN with limited training data remains a challenge. Simply...
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However, irregularities in the grid pattern as well as responses of grid cells in contexts other than spatial navigation have presented a challenge to existing models of entorhinal function. In this Perspective, we propose that hippocampal input provides a key informative drive to the grid network ...
It was found that gamma power and spike-gamma coherence in the monkey hippocampus were higher during successful encoding (Jutras et al., 2009). Similar correlations have been found in humans, both in the hippocampus (Sederberg et al., 2007) and cortical regions (Osipova et al., 2006; ...
描述:给定俩字符串,判断能否通过字符间的一一对应关系,把前者变成后者。 //#205Description: Isomorphic Strings | LeetCode OJ 解法1:既然是一一对应嘛,用两个哈希表就行了。 // Solution 1: Two hash map for one bijection. 代码1 //Code 1
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4f–h). Note that capturing single unit activity is often a challenge in the context of human recordings. Thus, results may be limited by the low number of units captured in the recording. Amygdala theta phase coordinates transient coherence between amygdala and hippocampal gamma activity Given ...
instrumental rewards during Bayesian inference42and that, during active information gathering, monkey parietal neurons have reward-independent responses to prior uncertainty19,41and diagnosticity18. Thus, we suggest that computations encoded in posterior parietal clusters explain people’s abilities to combine...