Quantitative inference of population response properties from motion streaks

Quantitative inference of population response properties from motion streaks

Interpreting population responses in the primary visual cortex (V1) remains a challenge especially with the advent of techniques measuring activations of large cortical areas simultaneously with high precision. For successful interpretation, a quantitatively precise model prediction is of great importance. In this study, we investigate how accurate a spatio­ temporal filter (STF) model predicts average response profiles to coherently drifting random dot motion obtained by optical imaging of intrinsic signals in V1 of anesthetized macaques.  Our study thus suggests that the STF model is quantitatively accurate enough to be used as a first model of choice for interpreting responses obtained with intrinsic imaging methods in V1. We show further that this good quantitative correspondence opens the possibility to infer otherwise not easily accessible population receptive field properties from responses to complex stimuli, such as drifting random dot motions.

M. J. Rasch*, M. Chen, S. Wu, H. D. Lu, A. W. Roe, Quantitative inference of population response properties across eccentricity from motion induced maps in macaque V1Journal of Neurophysiology 101, 1233-1249 (2013). (RascChenWuLuRoe13 )