Information Jitter Derivative method: A novel approach to the analysis of multiplexed neural codes.
Molano-Mazon M., Onken A., Liu J.K., Gollisch T., Safaai H., Panzeri S.
We present a method to decompose the information encoded in the temporal structure of a neuron's response into the complementary information contained in its different timescales. The proposed approach, which we called Information Jitter Derivative (IJD) method, uses a jitter procedure to manipulate the precision of the neural activity and allows to identifying the most relevant timescales in the encoding of the stimulus information. We applied the IJD to the activity of retinal ganglion cells in the salamander retina and show that the method is able to uncover the temporal strategies used by these cells to encode different stimuli features.