The sparse variable generalized linear model framework, termed the SVGLM, which is able to track the saccade-induced rapid changes occurring in the spatiotemporal sensitivity of the neurons on a millisecond timescale. The principal idea of the SVGLM is that the stimulus-response relationship in a neuron is characterized by a set of time-varying stimulus kernels, which represent the spatiotemporal receptive field of the neuron as varying along the time dimension.
[1] Niknam, K., Akbarian, A., Clark, K., Zamani, Y., Noudoost, B., & Nategh, N. (2019). Characterizing and dissociating multiple time-varying modulatory computations influencing neuronal activity. PLoS computational biology, 15(9), e1007275. View Article