Recording the extracellular activity of individual neurons with the help of multiple electrodes is used in many neuroscientific experiments. Spike sorting is the common method of detecting and classifying neural signals from these recordings and is typically done by software programs. In this work a new MATLAB based toolbox is introduced that brings advantages for the operating speed of spike sorting analyses. Also, a new application of distance maps within neuroscience is presented. Artificial and in vivo data is tested to show the effectiveness and efficiency. Similarities and differences to other available toolboxes are discussed.
|Qualification||Bachelor of Science|
|Publication status||Published - 11.11.2011|