The 'ecological' probability density function for linear optic flow: Implications for neurophysiology

A theoretical analysis of the recovery of shape from optic flow highlights the importance of the deformation components; however, pure deforming stimu li elicit few responses from flow-sensitive neurons in the medial superior temporal (MST) area of the cerebral cortex. This finding has prompted the c onclusion that MST cells are not involved in shape recovery. However, this conclusion may be unjustified in view of the emerging consensus that MST ce lls perform nonlinear pattern matching, rather than linear projection as im plicitly assumed in many neurophysiological studies. Artificial neural mode ls suggest that the input probability density function (PDF) is crucial in determining the distribution of responses shown by pattern-matching cells. This paper therefore describes a Monte-Carlo study of the joint PDF for lin ear optic-flow components produced by ego-motion in a simulated planar envi ronment. The recent search for deformation-selective cells in MST is then u sed to illustrate the importance of the input PDF in determining cell chara cteristics. The results are consistent with the finding that MST cells exhi bit a continuum of responses to translation, rotation, and divergence. In a ddition, there are negative correlations between the deformation and confor mal components of optic flow. Consequently, if cells responsible for shape analysis are present in the MST area, they should respond best to combinati ons of deformation with other first-order flow components, rather than to t he pure stimuli used in previous neurophysiological studies.