A method to measure the strength of multi-unit bursts of action potentials
| Autor: | Brian Mulloney |
|---|---|
| Rok vydání: | 2005 |
| Předmět: |
Motor Neurons
Neurons Fourier Analysis Quantitative Biology::Neurons and Cognition Astrophysics::High Energy Astrophysical Phenomena General Neuroscience Acoustics Action Potentials Signal Processing Computer-Assisted Astacoidea Measure (mathematics) Axons Action (physics) Ganglia Invertebrate Electrophysiology Duration (music) Data Interpretation Statistical Polygon Animals Multi unit Algorithms Software Simulation Mathematics Voltage |
| Zdroj: | Journal of Neuroscience Methods. 146:98-105 |
| ISSN: | 0165-0270 |
| DOI: | 10.1016/j.jneumeth.2005.01.020 |
| Popis: | Both the numbers of neurons that are active during multi-unit bursts of spikes and the frequencies with which individual neurons fire in these bursts can vary in response to changes in excitation. Here is a digital-filtering method that measures the strength of a burst of spikes by calculating the area of a polygon derived from the squared voltages that record the burst, and dividing this area by the burst's duration. The method was developed in the SigmaPlot © environment, and makes use of the Fast-Fourier Transform functions provided in the SigmaPlot © transform language. To test the method's performance, I constructed multi-unit bursts of spikes with known structure and calculated the strengths of these known bursts. To demonstrate the method's usefulness, I applied it to a train of 23 bursts of spikes in motor axons recorded during a spontaneous bout of patterned motor output. The measured strengths of these bursts varied 30-fold, and were well-correlated with the differences in the original recording. The results demonstrate that the method effectively measures burst strength independent of burst duration. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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