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The \textsc{skv} algorithm was introduced as a method of identifying onsets and offsets in a model of auditory signal processing \cite{Coath_2005}. It is also an integral part of a model of auditory feature extraction \cite{Denham_2005} \cite{Coath_2007} and exhibits a range of desirable properties, as well as some features that make it biophysically plausible. The method has subsequently been used in a range of contexts including auditory salience detection \cite{Kovacs_2015}, beat tracking \cite{Coath_2009}, and studies of infant speech production \cite{Warlaumont_2016}.  The abbreviation \textsc{skv} when applied to auditory signals was derived from \textbf{sk}ewness over \textbf{v}ariable time, reflecting the measure of asymmetry (the \textit{skewness} or \textit{third normalized moment}) and It has also been shown \cite{Kovacs_2013} that  the technique important features  ofvarying the time window over which this value was calculated \cite{Coath_2005}. For image processing  the \textbf{v} will stand instead for '\textbf{v}ariable spatial frequency', which also relates to \textsc{skv} response can be captured in  the size output  of an artificial neural network. These results demonstrate that  the window used. approach is suitable for parallel distributed programming and, possibly, other 'neuromorphic' implementations.  It has also been shown \cite{Kovacs_2013} that The abbreviation \textsc{skv} when applied to auditory signals was derived from \textbf{sk}ewness over \textbf{v}ariable time, reflecting  the important features measure  of asymmetry (the \textit{skewness} or \textit{third normalized moment}) and  the \textsc{skv} response can be captured in the output technique  of an artificial neural network. These results demonstrate that varying the time window over which this value was calculated \cite{Coath_2005}. For image processing  the approach is suitable \textbf{v} will stand instead  for parallel distributed programming and, possibly, other 'neuromorphic' implementations. '\textbf{v}ariable spatial frequency', which also relates to the size of the window used.