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. Author manuscript; available in PMC: 2014 Jun 5.
Published in final edited form as: Neuron. 2012 Mar 8;73(5):1002–1015. doi: 10.1016/j.neuron.2011.12.029

Figure 3. The LNK model captures retinal contrast adaptation.

Figure 3

A-B. Linear-nonlinear models were computed for the membrane potential response of a ganglion cell during Hearly, Hlate, Learly and Llate. LN models were also fit to the output of an LNK model. Left. Linear filters, FLN(t) for all of low (8 %) or high contrast (35 %), fit to the recording and LNK model. Right. Static nonlinearity, NLN(g) for all four intervals fit to the recording and LNK model. C. The change in the peak of the linear temporal filter FLN of an LN model fit to the membrane potential or to the LNK model. Results for C-F are averaged across 12 amacrine and ganglion cells. D. The average sensitivity computed as the average slope of the nonlinearity NLN of an LN model fit to the response or to the LNK model as a function of contrast. E. The normalized change in average membrane potential after a contrast switch, compared between a cell's response and its LNK model. Normalization was performed by subtracting the mean and dividing by the standard deviation of the entire recording. F. The normalized average membrane potential at the end of a contrast period for each cell's response and its LNK model as a function of contrast.