Univariate and bivariate spiking statistics for the dLIF neuron model
Functions to calculate the statistics for the dLIF neuron model.
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Functions to calculate the statistics for the dLIF model described in the paper ``Mechanisms that modulate the transfer of spiking correlations'' by Robert Rosenbaum and Kresimir Josic, published in Neural Computation, 2011.
The first few lines of code in each function converts the system with leak (I_L>0) into an equivalent one without leak (I_L=0). The calculations are then carried out for the no-leak model.
See the README file and the comments within each function for instructions and more information.
The example files (Example1.m and Example2.m) might also be helpful.
Cite As
Robert (2026). Univariate and bivariate spiking statistics for the dLIF neuron model (https://www.mathworks.com/matlabcentral/fileexchange/28686-univariate-and-bivariate-spiking-statistics-for-the-dlif-neuron-model), MATLAB Central File Exchange. Retrieved .
General Information
- Version 1.9.0.0 (49.4 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.9.0.0 | Updated description. |
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| 1.8.0.0 | Improved the speed and robustness of bivstat.m using a QR decomposition for sparse matrices. Added two example programs. Improved the readme file. Removed some extraneous files. Replaced missing files. |
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| 1.6.0.0 | Improved the speed and robustness of bivstat.m using a QR decomposition for sparse matrices. Added two example files. Improved the readme file. Removed some extraneous files. |
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| 1.5.0.0 | I improved the speed and robustness of bivstat.m using a QR decomposition for sparse matrices. I added two example files. I improved the readme file. |
