Results 31 to 40 of about 216,568 (279)
Spike Sorting Algorithms for Large-Scale Neural Recording [PDF]
Jisuanji gongchengSpike sorting refers to the detection, clustering, and identification of distinct extracellular neuronal signals from different recording sites with the aim of reliably assigning them to different putative neurons.
XU Mingliang, LI Fangyuan, MA Haoran, HE Fei
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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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FEBS Letters, EarlyView.Fluorescent probes allow dynamic visualization of phosphoinositides in living cells (left), whereas mass spectrometry provides high‐sensitivity, isomer‐resolved quantitation (right). Their synergistic use captures complementary aspects of lipid signaling. This review illustrates how these approaches reveal the spatiotemporal regulation and quantitative
Hiroaki Kajiho +3 more
wiley +1 more source
Comparative Analysis of Sorting Algorithms: TimSort Python and Classical Sorting Methods
JISA (Jurnal Informatika dan Sains)The sorted() function within the Python programming language has emerged as the primary choice among developers for sorting operations. Consequently, this study offers a comparative analysis of various classical sorting algorithms and Python's built-in ...
Firmansyah Rekso Wibowo, Muhammad Faisal
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Generating Almost Descending Sequences to Reduce the Number of Movements in Sorting
IEEE Access, 2022 Sorting algorithms usually generate strictly descending sequences. However, almost descending sequences may be sufficient to fulfill our needs in practice, and the number of movements needed for generating such sequences can be greatly reduced. We call a
Yuyin Yu, Xuan Xiao
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The Folklore of Sorting Algorithms [PDF]
, 2009 The objective of this paper is to review the folklore knowledge seen in research work devoted on synthesis, optimization, and effectiveness of various sorting algorithms.
Bhalchandra, Parag +3 more
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An In-Place Sorting with O(n log n) Comparisons and O(n) Moves
, 2003 We present the first in-place algorithm for sorting an array of size n that performs, in the worst case, at most O(n log n) element comparisons and O(n) element transports.
Franceschini, Gianni, Geffert, Viliam
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Molecular Oncology, EarlyView.Nanosecond infrared laser (NIRL) low‐volume sampling combined with shotgun lipidomics uncovers distinct lipidome alterations in oropharyngeal squamous cell carcinoma (OPSCC) of the palatine tonsil. Several lipid species consistently differentiate tumor from healthy tissue, highlighting their potential as diagnostic markers.
Leonard Kerkhoff +11 more
wiley +1 more source
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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