Abstract
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.
| Original language | English |
|---|---|
| Qualification | Bachelor of Science |
| Awarding Institution | |
| Supervisors/Advisors |
|
| Publication status | Published - 11.11.2011 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 3 Good Health and Well-being -
SDG 9 Industry, Innovation, and Infrastructure
Fingerprint
Dive into the research topics of 'YaSST – A Signal Processing Toolbox for Extracellular Multi-Unit Recordings'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver