Neural Coding Laboratory
Information processing in mammalian cortical circuits
Software which we have contributed to the development of
FRI algorithm for spike train detection from two photon imaging
MATLAB implementation for spike train detection from two-photon calcium imaging applying finite rate of innovation (FRI) techniques. If you use this software, we request that you cite:
Jon Oñativia, Simon R. Schultz, and Pier Luigi Dragotti,
A Finite Rate of Innovation algorithm for fast and accurate spike detection from two-photon calcium imaging
. (J. Neural Eng. 10 (2013) 046017).
The zip file contains a number of files to reproduce the results presented in the paper:
runs the double consistency algorithm on real data and reproduces figure 7 of the journal paper.
runs the double consistency algorithm on surrogate data.
reproduces figure 3 of the journal paper.
reproduces figure 9 of the journal paper.
PyRho - Multiscale computational tools for optogenetics