klustakwik software (SourceForge net)
90
Structured Review
SourceForge net
klustakwik software
Klustakwik Software, supplied by SourceForge net, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/klustakwik+software/klustakwik+software/pm39647640-100-7-10
Average 90 stars, based on 1 article reviews
Klustakwik Software, supplied by SourceForge net, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/klustakwik+software/klustakwik+software/pm39647640-100-7-10
Average 90 stars, based on 1 article reviews
klustakwik software - by Bioz Stars,
2026-09
90/100 stars
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Software:Article Title: Spike sorting based upon machine learning algorithms (SOMA). Article Snippet: We have developed a spike sorting method, using a combination of various machine learning algorithms, to analyse electrophysiological data nd automatically determine the number of sampled neurons from an individual electrode, and discriminate their activities.. We discuss extensions o a standard unsupervised learning algorithm (Kohonen), as using a simple application of this technique would only identify a known number f clusters.. Our extra techniques automatically identify the number of clusters within the dataset, and their sizes, thereby reducing the chance of isclassification. Article Title: Rat superior colliculus neurons respond to large visual stimuli flashed outside the classical receptive field Article Snippet: For spike sorting first each channel data were reduced by principal component analysis (PCA) by employing Matlab software. .. Then spike classes by employing Article Title: Experimentally derived model shows that adaptation acts as a powerful spatiotemporal filter of visual responses in the rat collicular neurons Article Snippet: For spike sorting, first each channel data were reduced by principal component analysis (PCA) by employing Matlab software. .. Then spike classes were determined by finding clusters of 2–5 PCA from each channel by employing Article Title: Local stimulation of pyramidal neurons in deep cortical layers of anesthetized rats enhances cortical visual information processing Article Snippet: For spike sorting, each channel’s data were reduced by principal component analysis (PCA) via MATLAB software. .. Then, spike classes were determined by finding clusters of 2–5 PCAs from each channel by employing Article Title: SLOW OFF RESPONSES IN THE RAT SUPERIOR COLLICULUS NEURONS MAY CONTRIBUTE TO THE PREDATOR DETECTION. Article Snippet: For spike sorting, each channel the data set was first reduced via principal component analysis (PCA) via MATLAB software. .. The spike classes were subsequently determined via Article Title: Two septal-entorhinal GABAergic projections differentially control coding properties of spatially tuned neurons in the medial entorhinal cortex. Article Snippet: .. |