In deed, the LN model can be applied directly to our recordings from the retina. The spike triggered averages for different cell types in the retina could be seen as the linear filter of each receptive field. Maybe after we figure out a better way to shine flickers on the retina (there’re some artifacts in our micro-projector…), we can move on and define the locations of the RF and also find its static nonlinearity through long-term recordings.
In deed, the LN model can be applied directly to our recordings from the retina. The spike triggered averages for different cell types in the retina could be seen as the linear filter of each receptive field. Maybe after we figure out a better way to shine flickers on the retina (there’re some artifacts in our micro-projector…), we can move on and define the locations of the RF and also find its static nonlinearity through long-term recordings.