Heuristic Spike Sorting Tuner (HSST), a framework to determine optimal parameter selection for a generic spike sorting algorithm [PDF]
, 2020 Extracellular microelectrodes frequently record neural activity from more than one neuron in the vicinity of the electrode. The process of labeling each recorded spike waveform with the identity of its source neuron is called spike sorting and is often ...
Bjånes, David A. +3 more
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Perbandingan Efisiensi Algoritma Sorting dalam Penggunaan Bandwidth
Ilkom Jurnal Ilmiah, 2020 The most used algorithm is the sorting algorithm. There have been many popping sorting algorithms that can be used, in this study researchers took three sorting algorithms namely Insertion Sort, Selection Sort, and Merge Sort.
Desi Anggreani +3 more
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Main Memory Adaptive Indexing for Multi-core Systems
, 2014 Adaptive indexing is a concept that considers index creation in databases as a by-product of query processing; as opposed to traditional full index creation where the indexing effort is performed up front before answering any queries.
Alvarez, Victor +3 more
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Average-case analysis of perfect sorting by reversals (Journal Version) [PDF]
, 2011 Perfect sorting by reversals, a problem originating in computational genomics, is the process of sorting a signed permutation to either the identity or to the reversed identity permutation, by a sequence of reversals that do not break any common interval.
Bouvel, Mathilde +3 more
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Matrix Sort - A Parallelizable Sorting Algorithm
International Journal of Computer Applications, 2016 Sorting algorithms are the class of algorithms that result in the ordered arrangement of a list of given elements. The arrangement can be in ascending or descending order based on the requirement given. Time complexity, space complexity and optimality are used to assess the algorithms.
Saketh A., Vijay V., S. Kavitha
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AppliedMathIn the modern era of informatics, where data are very important, efficient management of data is necessary and critical. Two of the most important data management techniques are searching and data ordering (technically sorting).
Anurag Dutta +3 more
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Efficient neural spike sorting using data subdivision and unification.
PLoS ONE, 2021 Neural spike sorting is prerequisite to deciphering useful information from electrophysiological data recorded from the brain, in vitro and/or in vivo.
Masood Ul Hassan +2 more
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From End to End: Gaining, Sorting, and Employing High-Density Neural Single Unit Recordings
Frontiers in Neuroinformatics, 2022 The meaning behind neural single unit activity has constantly been a challenge, so it will persist in the foreseeable future. As one of the most sourced strategies, detecting neural activity in high-resolution neural sensor recordings and then ...
Réka Barbara Bod +10 more
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Feature extraction using extrema sampling of discrete derivatives for spike sorting in implantable upper-limb neural prostheses [PDF]
, 2014 Next generation neural interfaces for upper-limb (and other) prostheses aim to develop implantable interfaces for one or more nerves, each interface having many neural signal channels that work reliably in the stump without harming the nerves. To achieve
Demosthenous, A, Zamani, M
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The role of the use of visualization tools for teaching sorting algorithms in online teaching
Politehnika, 2021 Learning and teaching of sorting algorithms are very challenging for students and teachers as well. The issues are more highlighted in the online form of teaching which was the only form of schooling from March to June of the school year 2019/2020 in ...
Monika Mladenović +2 more
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