ESTIMATING MULTIPLE TEMPORAL MECHANISMS IN HUMAN VISION

When studying human ability to perceive temporal changes in luminance it is customary to estimate either temporal impulse response shapes or temporal modulation transfer functions, the representation of the imp ulse response in the frequency domain, The advantages and limitations of previous methods are summarized. We then describe an approach based on use of an impulse response basis set that resolves some of those l imitations. We next present psychophysical results for spatiotemporal signal detection in spatiotemporal noise, together with an economical model of performance. The model is based on accepted notions of psycho physical detection mechanisms and the filter basis set described in th e first part of the paper. The best-fitting model requires only eight parameters, as opposed to the 198 parameters required to separately fi t each psychometric function, and captures both qualitative and quanti tative properties of the psychophysical data. Finally, the best-fittin g model indicates that only two temporal filters are necessary to desc ribe the performance of each of three subjects under the specific stim ulus conditions employed here. (C) 1998 Elsevier Science Ltd. All righ ts reserved.