A Parametric Simulation of Neuronal Noise From Microelectrode Recordings
IEEE Transactions on Neural Systems and Rehabilitation Engineering(2017)
Abstract
In this paper we present an efficient model of microelectrode recordings (MER) from the subthalamic nucleus acquired during deep brain stimulation (DBS) surgery. The model shows how changes in the “noise” relate to the neuronal spike time statistics. A top-down approach is used with analysis-by-synthesis of the MER power spectra. The model is built around a sum of filtered point processes consisti...
MoreTranslated text
Key words
Computational modeling,Electrodes,Extracellular,Satellite broadcasting,Biological system modeling,Adaptation models
AI Read Science
Must-Reading Tree
Example
![](https://originalfileserver.aminer.cn/sys/aminer/pubs/mrt_preview.jpeg)
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined