Peristimulus time histograms are a widespread form of visualizing neuronal responses. Kernel convolution methods transform these histograms into a smooth, continuous probability density function. This provides an improved estimate of a neuron’s actual response envelope. In a recent publication we developed a classifier, called the h-coefficient, to determine whether time-locked fluctuations in the firing rate of a neuron should be classified as a response or as random noise. Unlike previous approaches, the h-coefficient takes advantage of the more precise response envelope estimation provided by the kernel convolution method. The h-coefficient quantizes the smoothed response envelope and calculates the probability of a response of a given shape to occur by chance. Please refer to the original publication for further information.
引用格式
Michael (2024). h-coefficient (https://www.mathworks.com/matlabcentral/fileexchange/48293-h-coefficient), MATLAB Central File Exchange. 检索来源 .
MATLAB 版本兼容性
平台兼容性
Windows macOS Linux类别
标签
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!h-coefficient V1.0/
版本 | 已发布 | 发行说明 | |
---|---|---|---|
1.2 | Minor bug fixes during launch phase... |
|
|
1.1.0.0 | Minor bug fixes during launch phase... |
|
|
1.0.0.0 |
|