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Spike sorting is the computational process of extracting the firing times of single neurons from recordings of local electrical fields. This is an important but hard problem in neuroscience, made complicated by the nonstationarity of the recordings and the dense overlap in electrical fields between nea...
Buck and Purcell 2004 showed how the parallel bitonic merge sort algorithm could be used to sort data on the GPU. In this chapter, we show how to improve the efficiency of sorting on the GPU by making full use of the GPU's computational resources. We also demonstrate a sorting algori...
VECTOR beamsVISIBLE spectraMULTI-degree of freedomPolarization (P), angular index (l), and radius index (p) are three independent degrees of freedom (DoFs) of vector vortex beams, which have found extensive applications in various domains. While efficient sorting of a single ...
std :: vector < int > vector_user ; } How Does Vector Sorting Work in C++ Programming? To do any type of vector sorting in C++ programming different iterators of vectors are used. There are usually 8 types of iterators that can be used to achieve sorting in C++. They are mentioned bel...
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They treated four different C57BL/6 CD-fed mouse models with an adeno-associated virus 8 vector encoding the murine Sort1 gene driven by the liver-specific thyroxine binding globulin promoter (AAV8-TBG), resulting in liver-specific overexpression of Sort1. In all four backgrounds tested (Apobec...
Spike sorting is the computational process of extracting the firing times of single neurons from recordings of local electrical fields. This is an important but hard problem in neuroscience, made complicated by the nonstationarity of the recordings and t
Moreover, we find that cargo availability in SNX1-sorting endosomes contributes to the duration of the kiss between sorting and recycling endosomes. We propose that interactions between cargoes and their adaptors control their vectorial flow from early to recycling endosomes. This additional, conserved...
If necessary, you can easily check that the graph is acyclic, as described in the article on depth-first search.int n; // number of vertices vector<vector<int>> adj; // adjacency list of graph vector<bool> visited; vector<int> ans; void dfs(int v) { visited[v] = true; for (...