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- %Guide for performing a linear-nonlinear model (LN-model)
- %analysis from voltage recordings of bipolar cells (BC) under natural
- %stimuli
- %Check out the Documentation_Data.pdf, which contains relevant information
- %Check BC_mainWhiteNoise.m -> from here you get the filter and output
- %nonlinearity for performing the prediction to the movie.
- clear;
- close all;
- %% Preprocessing of the natural movie contrast signal
- loadData='Z:\naturalMovies\'; %path of the BC files for natural movies (has to be adapted to your own path)
- filename='16d200016Comp.mat'; %BC file to analyse: for example here we use file 16d200016Comp from cell 5, recorded in retina 2 on 161219
- Hz=25; % given in the excel file LogInfo_NaturalMovies.xlsx for the corresponding file
- movienbr=4; %given in the excel file LogInfo_NaturalMovies.xlsx for the corresponding file
- pixelSize=9; %given in the excel file LogInfo_SpatioTemporalWhiteNoise.xlsx from the white noise stimulus of the corresponding cell
- [movieSignal]=BC_getNaturalMovies(pixelSize);%example code to preprocess the natural movies
- %% Prediction of the response to the movie from the LN-model with spatiotemporal white noise
- [naturalMovie_output]=BC_predNaturalMovies(loadData,filename,movieSignal,STA_output,NL_output,Hz);%example code to get the prediction to natural movies from the spatiotemporal white noise LN-model
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